The following values were not passed to `accelerate launch` and had defaults used instead:
	`--num_processes` was set to a value of `4`
		More than one GPU was found, enabling multi-GPU training.
		If this was unintended please pass in `--num_processes=1`.
	`--num_machines` was set to a value of `1`
	`--mixed_precision` was set to a value of `'no'`
	`--dynamo_backend` was set to a value of `'no'`
To avoid this warning pass in values for each of the problematic parameters or run `accelerate config`.
gradient_accumulation_steps:  4
gradient_accumulation_steps:  4
Params using prompt template alpaca:
base_model: baichuan-inc/Baichuan2-7B-Base
data_path: ../../data/belle_dolphine/p14.jsonl
output_dir: ../out/lora/p14
batch_size: 32
micro_batch_size: 2
num_epochs: 1
learning_rate: 0.0004
cutoff_len: 4096
val_set_size: 0
lr_scheduler: cosine
warmup_steps: 100
lora_r: 16
lora_alpha: 16
lora_dropout: 0.05
lora_target_modules: ['gate_proj', 'down_proj', 'up_proj']
train_on_inputs: False
add_eos_token: False
group_by_length: False
wandb_project: lora-moe
wandb_run_name: belle_dolphine-p14
wandb_watch: 
wandb_log_model: 
resume_from_checkpoint: False

gradient_accumulation_steps:  4
gradient_accumulation_steps:  4

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pre-trained model's BOS EOS and PAD token id: 1 2 0  => It should be 1 2 None
pre-trained model's BOS EOS and PAD token id: 1 2 0  => It should be 1 2 None

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trainable params: 23,199,744 || all params: 7,529,172,992 || trainable%: 0.30813137146205183

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Detected kernel version 5.4.0, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.
/home/aiops/duanky/miniconda3/envs/lora/lib/python3.11/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
  warnings.warn(
/home/aiops/duanky/miniconda3/envs/lora/lib/python3.11/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
  warnings.warn(
/home/aiops/duanky/miniconda3/envs/lora/lib/python3.11/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
  warnings.warn(
wandb: Currently logged in as: k-duan (nus_keyu). Use `wandb login --relogin` to force relogin
wandb: Tracking run with wandb version 0.16.1
wandb: Run data is saved locally in /home/aiops/duanky/lora-moe/experiments/launch_scripts/wandb/run-20231229_144811-o5uuhyd3
wandb: Run `wandb offline` to turn off syncing.
wandb: Syncing run belle_dolphine-p14
wandb: ⭐️ View project at https://wandb.ai/nus_keyu/lora-moe
wandb: 🚀 View run at https://wandb.ai/nus_keyu/lora-moe/runs/o5uuhyd3

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  warnings.warn(

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{'loss': 1.7934, 'learning_rate': 0.00014, 'epoch': 0.01}

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{'loss': 1.5316, 'learning_rate': 0.000144, 'epoch': 0.01}

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{'loss': 1.5065, 'learning_rate': 0.000148, 'epoch': 0.01}

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{'loss': 1.6563, 'learning_rate': 0.000152, 'epoch': 0.01}

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{'loss': 1.7944, 'learning_rate': 0.00015600000000000002, 'epoch': 0.01}

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{'loss': 1.73, 'learning_rate': 0.00016, 'epoch': 0.01}

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{'loss': 1.7552, 'learning_rate': 0.000164, 'epoch': 0.01}

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{'loss': 1.4764, 'learning_rate': 0.000168, 'epoch': 0.01}

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{'loss': 1.6605, 'learning_rate': 0.000172, 'epoch': 0.01}

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{'loss': 1.6699, 'learning_rate': 0.00017600000000000002, 'epoch': 0.01}

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{'loss': 1.6282, 'learning_rate': 0.00018, 'epoch': 0.01}

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{'loss': 1.4225, 'learning_rate': 0.00018400000000000003, 'epoch': 0.01}

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{'loss': 1.7011, 'learning_rate': 0.000188, 'epoch': 0.01}

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{'loss': 1.7409, 'learning_rate': 0.000192, 'epoch': 0.01}

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{'loss': 1.501, 'learning_rate': 0.000196, 'epoch': 0.01}

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{'loss': 1.5354, 'learning_rate': 0.0002, 'epoch': 0.01}

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{'loss': 1.6176, 'learning_rate': 0.00020400000000000003, 'epoch': 0.01}

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{'loss': 1.6752, 'learning_rate': 0.00020800000000000001, 'epoch': 0.01}

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{'loss': 1.6557, 'learning_rate': 0.00021200000000000003, 'epoch': 0.01}

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{'loss': 1.7425, 'learning_rate': 0.00021600000000000002, 'epoch': 0.01}

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{'loss': 1.5681, 'learning_rate': 0.00022000000000000003, 'epoch': 0.01}

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{'loss': 1.6588, 'learning_rate': 0.00022400000000000002, 'epoch': 0.01}

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{'loss': 1.9836, 'learning_rate': 0.00022799999999999999, 'epoch': 0.01}

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{'loss': 1.6826, 'learning_rate': 0.000232, 'epoch': 0.01}

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{'loss': 1.4529, 'learning_rate': 0.000236, 'epoch': 0.01}

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{'loss': 1.4895, 'learning_rate': 0.00024, 'epoch': 0.01}

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{'loss': 1.6742, 'learning_rate': 0.000244, 'epoch': 0.01}

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{'loss': 1.568, 'learning_rate': 0.000248, 'epoch': 0.01}

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{'loss': 1.5808, 'learning_rate': 0.000252, 'epoch': 0.01}

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{'loss': 1.7791, 'learning_rate': 0.00025600000000000004, 'epoch': 0.01}

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{'loss': 1.5176, 'learning_rate': 0.00026000000000000003, 'epoch': 0.01}

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{'loss': 1.6139, 'learning_rate': 0.000264, 'epoch': 0.01}

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{'loss': 1.7887, 'learning_rate': 0.000268, 'epoch': 0.01}

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{'loss': 1.856, 'learning_rate': 0.00027200000000000005, 'epoch': 0.01}

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{'loss': 1.5028, 'learning_rate': 0.000276, 'epoch': 0.01}

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{'loss': 1.6957, 'learning_rate': 0.00028, 'epoch': 0.01}

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{'loss': 1.6721, 'learning_rate': 0.000284, 'epoch': 0.01}

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{'loss': 1.7098, 'learning_rate': 0.000288, 'epoch': 0.01}

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{'loss': 1.7618, 'learning_rate': 0.000292, 'epoch': 0.01}

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{'loss': 1.5841, 'learning_rate': 0.000296, 'epoch': 0.01}

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{'loss': 1.7054, 'learning_rate': 0.00030000000000000003, 'epoch': 0.01}

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{'loss': 1.6632, 'learning_rate': 0.000304, 'epoch': 0.01}

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{'loss': 1.4799, 'learning_rate': 0.000308, 'epoch': 0.01}

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{'loss': 1.7129, 'learning_rate': 0.00031200000000000005, 'epoch': 0.01}

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{'loss': 1.5251, 'learning_rate': 0.00031600000000000004, 'epoch': 0.01}

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{'loss': 1.7884, 'learning_rate': 0.00032, 'epoch': 0.01}

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{'loss': 1.5816, 'learning_rate': 0.000324, 'epoch': 0.01}

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{'loss': 1.5653, 'learning_rate': 0.000328, 'epoch': 0.01}

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{'loss': 1.7663, 'learning_rate': 0.000332, 'epoch': 0.01}

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{'loss': 1.6489, 'learning_rate': 0.000336, 'epoch': 0.01}

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{'loss': 1.8255, 'learning_rate': 0.00034, 'epoch': 0.01}

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{'loss': 1.5156, 'learning_rate': 0.000344, 'epoch': 0.01}

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{'loss': 1.3183, 'learning_rate': 0.000348, 'epoch': 0.01}

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{'loss': 1.4092, 'learning_rate': 0.00035200000000000005, 'epoch': 0.01}

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{'loss': 1.5494, 'learning_rate': 0.00035600000000000003, 'epoch': 0.01}

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{'loss': 1.6793, 'learning_rate': 0.00036, 'epoch': 0.01}

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{'loss': 1.5925, 'learning_rate': 0.000364, 'epoch': 0.01}

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{'loss': 1.5937, 'learning_rate': 0.00036800000000000005, 'epoch': 0.01}

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{'loss': 1.7434, 'learning_rate': 0.00037200000000000004, 'epoch': 0.01}

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{'loss': 1.6751, 'learning_rate': 0.000376, 'epoch': 0.01}

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{'loss': 1.7545, 'learning_rate': 0.00038, 'epoch': 0.01}

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{'loss': 1.8709, 'learning_rate': 0.000384, 'epoch': 0.01}

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{'loss': 1.7035, 'learning_rate': 0.000388, 'epoch': 0.01}

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{'loss': 1.6354, 'learning_rate': 0.000392, 'epoch': 0.01}

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{'loss': 1.697, 'learning_rate': 0.00039600000000000003, 'epoch': 0.01}

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{'loss': 1.4428, 'learning_rate': 0.0004, 'epoch': 0.01}

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{'loss': 1.7104, 'learning_rate': 0.0003999999779480245, 'epoch': 0.01}

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{'loss': 1.5222, 'learning_rate': 0.00039999991179210276, 'epoch': 0.02}

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{'loss': 1.6017, 'learning_rate': 0.00039999980153224943, 'epoch': 0.02}

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{'loss': 1.6301, 'learning_rate': 0.00039999964716848883, 'epoch': 0.02}

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{'loss': 1.5535, 'learning_rate': 0.0003999994487008549, 'epoch': 0.02}

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{'loss': 1.7935, 'learning_rate': 0.00039999920612939155, 'epoch': 0.02}

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{'loss': 1.7488, 'learning_rate': 0.0003999989194541522, 'epoch': 0.02}

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{'loss': 1.6292, 'learning_rate': 0.0003999985886752001, 'epoch': 0.02}

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{'loss': 1.5223, 'learning_rate': 0.00039999821379260817, 'epoch': 0.02}

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{'loss': 1.4636, 'learning_rate': 0.000399997794806459, 'epoch': 0.02}

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{'loss': 1.818, 'learning_rate': 0.0003999973317168451, 'epoch': 0.02}

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{'loss': 1.7942, 'learning_rate': 0.00039999682452386857, 'epoch': 0.02}

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{'loss': 1.7123, 'learning_rate': 0.0003999962732276412, 'epoch': 0.02}

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{'loss': 1.6798, 'learning_rate': 0.00039999567782828465, 'epoch': 0.02}

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{'loss': 1.7004, 'learning_rate': 0.0003999950383259301, 'epoch': 0.02}

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{'loss': 1.684, 'learning_rate': 0.00039999435472071876, 'epoch': 0.02}

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{'loss': 1.5815, 'learning_rate': 0.0003999936270128011, 'epoch': 0.02}

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{'loss': 1.6033, 'learning_rate': 0.0003999928552023378, 'epoch': 0.02}

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{'loss': 1.5368, 'learning_rate': 0.00039999203928949906, 'epoch': 0.02}

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{'loss': 1.6893, 'learning_rate': 0.0003999911792744648, 'epoch': 0.02}

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{'loss': 1.53, 'learning_rate': 0.00039999027515742454, 'epoch': 0.02}

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{'loss': 1.5987, 'learning_rate': 0.0003999893269385778, 'epoch': 0.02}

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{'loss': 1.6644, 'learning_rate': 0.00039998833461813354, 'epoch': 0.02}

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{'loss': 1.685, 'learning_rate': 0.0003999872981963107, 'epoch': 0.02}

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{'loss': 1.45, 'learning_rate': 0.0003999862176733378, 'epoch': 0.02}

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{'loss': 1.4791, 'learning_rate': 0.0003999850930494532, 'epoch': 0.02}

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{'loss': 1.7671, 'learning_rate': 0.0003999839243249047, 'epoch': 0.02}

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{'loss': 1.7443, 'learning_rate': 0.0003999827114999502, 'epoch': 0.02}

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{'loss': 1.7581, 'learning_rate': 0.0003999814545748571, 'epoch': 0.02}

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{'loss': 1.5924, 'learning_rate': 0.00039998015354990253, 'epoch': 0.02}

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{'loss': 1.4712, 'learning_rate': 0.0003999788084253735, 'epoch': 0.02}

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{'loss': 1.6466, 'learning_rate': 0.00039997741920156656, 'epoch': 0.02}

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{'loss': 1.6701, 'learning_rate': 0.00039997598587878806, 'epoch': 0.02}

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{'loss': 1.5634, 'learning_rate': 0.0003999745084573541, 'epoch': 0.02}

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{'loss': 1.695, 'learning_rate': 0.0003999729869375905, 'epoch': 0.02}

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{'loss': 1.5627, 'learning_rate': 0.0003999714213198327, 'epoch': 0.02}

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{'loss': 1.5928, 'learning_rate': 0.000399969811604426, 'epoch': 0.02}

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{'loss': 1.7722, 'learning_rate': 0.00039996815779172544, 'epoch': 0.02}

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{'loss': 1.627, 'learning_rate': 0.0003999664598820956, 'epoch': 0.02}

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{'loss': 1.6012, 'learning_rate': 0.000399964717875911, 'epoch': 0.02}

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{'loss': 1.5681, 'learning_rate': 0.00039996293177355574, 'epoch': 0.02}

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{'loss': 1.6342, 'learning_rate': 0.0003999611015754237, 'epoch': 0.02}

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{'loss': 1.6779, 'learning_rate': 0.0003999592272819184, 'epoch': 0.02}

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{'loss': 1.6892, 'learning_rate': 0.00039995730889345334, 'epoch': 0.02}

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{'loss': 1.3043, 'learning_rate': 0.0003999553464104514, 'epoch': 0.02}

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{'loss': 1.5841, 'learning_rate': 0.0003999533398333454, 'epoch': 0.02}

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{'loss': 1.6602, 'learning_rate': 0.00039995128916257784, 'epoch': 0.02}

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{'loss': 1.7782, 'learning_rate': 0.0003999491943986009, 'epoch': 0.02}

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{'loss': 1.7341, 'learning_rate': 0.0003999470555418766, 'epoch': 0.02}

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{'loss': 1.5795, 'learning_rate': 0.00039994487259287654, 'epoch': 0.02}

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{'loss': 1.6511, 'learning_rate': 0.00039994264555208203, 'epoch': 0.02}

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{'loss': 1.5869, 'learning_rate': 0.0003999403744199843, 'epoch': 0.02}

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{'loss': 1.5598, 'learning_rate': 0.00039993805919708416, 'epoch': 0.02}

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{'loss': 1.4968, 'learning_rate': 0.0003999356998838921, 'epoch': 0.02}

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{'loss': 1.868, 'learning_rate': 0.0003999332964809284, 'epoch': 0.02}

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{'loss': 1.5642, 'learning_rate': 0.00039993084898872313, 'epoch': 0.02}

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{'loss': 1.7403, 'learning_rate': 0.00039992835740781593, 'epoch': 0.02}

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{'loss': 1.6301, 'learning_rate': 0.0003999258217387563, 'epoch': 0.02}

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{'loss': 1.4405, 'learning_rate': 0.00039992324198210335, 'epoch': 0.02}

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{'loss': 1.5882, 'learning_rate': 0.00039992061813842603, 'epoch': 0.02}

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{'loss': 1.6731, 'learning_rate': 0.00039991795020830295, 'epoch': 0.02}

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{'loss': 1.6462, 'learning_rate': 0.00039991523819232235, 'epoch': 0.02}

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{'loss': 1.5686, 'learning_rate': 0.00039991248209108243, 'epoch': 0.02}

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{'loss': 1.6835, 'learning_rate': 0.0003999096819051908, 'epoch': 0.02}

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{'loss': 1.4027, 'learning_rate': 0.0003999068376352651, 'epoch': 0.02}

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{'loss': 1.2967, 'learning_rate': 0.0003999039492819324, 'epoch': 0.02}

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{'loss': 1.3614, 'learning_rate': 0.0003999010168458297, 'epoch': 0.02}

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{'loss': 1.5476, 'learning_rate': 0.0003998980403276038, 'epoch': 0.02}

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{'loss': 1.6363, 'learning_rate': 0.0003998950197279109, 'epoch': 0.02}

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{'loss': 1.5766, 'learning_rate': 0.0003998919550474172, 'epoch': 0.03}

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{'loss': 1.807, 'learning_rate': 0.0003998888462867985, 'epoch': 0.03}

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{'loss': 1.4256, 'learning_rate': 0.0003998856934467403, 'epoch': 0.03}

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{'loss': 1.3884, 'learning_rate': 0.0003998824965279379, 'epoch': 0.03}

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{'loss': 1.6485, 'learning_rate': 0.00039987925553109624, 'epoch': 0.03}

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{'loss': 1.6324, 'learning_rate': 0.00039987597045693015, 'epoch': 0.03}

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{'loss': 1.5961, 'learning_rate': 0.0003998726413061639, 'epoch': 0.03}

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{'loss': 1.4983, 'learning_rate': 0.00039986926807953173, 'epoch': 0.03}

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{'loss': 1.7092, 'learning_rate': 0.00039986585077777745, 'epoch': 0.03}

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{'loss': 1.6379, 'learning_rate': 0.00039986238940165465, 'epoch': 0.03}

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{'loss': 1.7078, 'learning_rate': 0.00039985888395192674, 'epoch': 0.03}

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{'loss': 1.5577, 'learning_rate': 0.00039985533442936654, 'epoch': 0.03}

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{'loss': 1.6209, 'learning_rate': 0.000399851740834757, 'epoch': 0.03}

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{'loss': 1.4901, 'learning_rate': 0.0003998481031688904, 'epoch': 0.03}

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{'loss': 1.8356, 'learning_rate': 0.000399844421432569, 'epoch': 0.03}

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{'loss': 1.7403, 'learning_rate': 0.0003998406956266047, 'epoch': 0.03}

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{'loss': 1.4272, 'learning_rate': 0.0003998369257518191, 'epoch': 0.03}

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{'loss': 1.6484, 'learning_rate': 0.0003998331118090435, 'epoch': 0.03}

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{'loss': 1.515, 'learning_rate': 0.0003998292537991191, 'epoch': 0.03}

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{'loss': 1.7864, 'learning_rate': 0.00039982535172289644, 'epoch': 0.03}

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{'loss': 1.5783, 'learning_rate': 0.00039982140558123615, 'epoch': 0.03}

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{'loss': 1.6643, 'learning_rate': 0.00039981741537500843, 'epoch': 0.03}

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{'loss': 1.6573, 'learning_rate': 0.0003998133811050931, 'epoch': 0.03}

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{'loss': 1.4607, 'learning_rate': 0.0003998093027723799, 'epoch': 0.03}

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{'loss': 1.4438, 'learning_rate': 0.0003998051803777682, 'epoch': 0.03}

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{'loss': 1.7795, 'learning_rate': 0.000399801013922167, 'epoch': 0.03}

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{'loss': 1.7432, 'learning_rate': 0.00039979680340649504, 'epoch': 0.03}

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{'loss': 1.5958, 'learning_rate': 0.00039979254883168095, 'epoch': 0.03}

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{'loss': 1.541, 'learning_rate': 0.00039978825019866283, 'epoch': 0.03}

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{'loss': 1.6584, 'learning_rate': 0.0003997795207618162, 'epoch': 0.03}

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{'loss': 1.4267, 'learning_rate': 0.0003997750899599126, 'epoch': 0.03}

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{'loss': 1.4841, 'learning_rate': 0.0003997706151036551, 'epoch': 0.03}

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{'loss': 1.5104, 'learning_rate': 0.0003997660961940304, 'epoch': 0.03}

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{'loss': 1.596, 'learning_rate': 0.00039976153323203513, 'epoch': 0.03}

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{'loss': 1.5982, 'learning_rate': 0.00039975692621867535, 'epoch': 0.03}

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{'loss': 1.7528, 'learning_rate': 0.00039975227515496713, 'epoch': 0.03}

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{'loss': 1.3808, 'learning_rate': 0.0003997475800419361, 'epoch': 0.03}

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{'loss': 1.8153, 'learning_rate': 0.0003997428408806175, 'epoch': 0.03}

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{'loss': 1.6476, 'learning_rate': 0.0003997332304173081, 'epoch': 0.03}

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{'loss': 1.4912, 'learning_rate': 0.00039972835911743644, 'epoch': 0.03}

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{'loss': 1.4338, 'learning_rate': 0.000399723443773516, 'epoch': 0.03}

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{'loss': 1.5958, 'learning_rate': 0.0003997184843866305, 'epoch': 0.03}

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{'loss': 1.606, 'learning_rate': 0.00039971348095787373, 'epoch': 0.03}

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{'loss': 1.5469, 'learning_rate': 0.00039970843348834903, 'epoch': 0.03}

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{'loss': 1.4804, 'learning_rate': 0.0003997033419791695, 'epoch': 0.03}

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{'loss': 1.6223, 'learning_rate': 0.0003996982064314578, 'epoch': 0.03}

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{'loss': 1.5996, 'learning_rate': 0.0003996930268463465, 'epoch': 0.03}

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{'loss': 1.608, 'learning_rate': 0.00039968780322497777, 'epoch': 0.03}

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{'loss': 1.5006, 'learning_rate': 0.00039968253556850355, 'epoch': 0.03}

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{'loss': 1.5793, 'learning_rate': 0.0003996772238780855, 'epoch': 0.03}

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{'loss': 1.4451, 'learning_rate': 0.00039967186815489486, 'epoch': 0.03}

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{'loss': 1.7581, 'learning_rate': 0.0003996664684001127, 'epoch': 0.03}

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{'loss': 1.497, 'learning_rate': 0.0003996610246149298, 'epoch': 0.03}

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{'loss': 1.4664, 'learning_rate': 0.0003996555368005466, 'epoch': 0.03}

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{'loss': 1.6605, 'learning_rate': 0.00039965000495817334, 'epoch': 0.03}

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{'loss': 1.8601, 'learning_rate': 0.0003996444290890298, 'epoch': 0.03}

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{'loss': 1.5943, 'learning_rate': 0.0003996388091943456, 'epoch': 0.03}

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{'loss': 1.405, 'learning_rate': 0.0003996331452753601, 'epoch': 0.03}

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{'loss': 1.8435, 'learning_rate': 0.00039962743733332217, 'epoch': 0.03}

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{'loss': 1.7668, 'learning_rate': 0.00039962168536949067, 'epoch': 0.03}

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{'loss': 1.5809, 'learning_rate': 0.000399615889385134, 'epoch': 0.03}

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{'loss': 1.3963, 'learning_rate': 0.0003996100493815302, 'epoch': 0.03}

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{'loss': 1.7476, 'learning_rate': 0.00039960416535996717, 'epoch': 0.03}

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{'loss': 1.5147, 'learning_rate': 0.0003995982373217424, 'epoch': 0.03}

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{'loss': 1.8521, 'learning_rate': 0.00039959226526816317, 'epoch': 0.03}

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{'loss': 1.5722, 'learning_rate': 0.00039958624920054654, 'epoch': 0.03}

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{'loss': 1.6618, 'learning_rate': 0.00039958018912021896, 'epoch': 0.04}

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{'loss': 1.5729, 'learning_rate': 0.00039957408502851703, 'epoch': 0.04}

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{'loss': 1.5775, 'learning_rate': 0.0003995679369267866, 'epoch': 0.04}

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{'loss': 1.5679, 'learning_rate': 0.00039956174481638364, 'epoch': 0.04}

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{'loss': 1.706, 'learning_rate': 0.0003995555086986735, 'epoch': 0.04}

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{'loss': 1.5541, 'learning_rate': 0.0003995492285750315, 'epoch': 0.04}

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{'loss': 1.4252, 'learning_rate': 0.00039954290444684236, 'epoch': 0.04}

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{'loss': 1.3999, 'learning_rate': 0.0003995365363155008, 'epoch': 0.04}

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{'loss': 1.581, 'learning_rate': 0.00039953012418241104, 'epoch': 0.04}

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{'loss': 1.6188, 'learning_rate': 0.0003995236680489871, 'epoch': 0.04}

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{'loss': 1.4419, 'learning_rate': 0.0003995106237868414, 'epoch': 0.04}

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{'loss': 1.599, 'learning_rate': 0.0003995040356609961, 'epoch': 0.04}

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{'loss': 1.5697, 'learning_rate': 0.0003994840073218331, 'epoch': 0.04}

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{'loss': 1.6365, 'learning_rate': 0.000399463583071248, 'epoch': 0.04}

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{'loss': 1.5717, 'learning_rate': 0.00039944974697338643, 'epoch': 0.04}

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{'loss': 1.6165, 'learning_rate': 0.0003994427629497764, 'epoch': 0.04}

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{'loss': 1.4914, 'learning_rate': 0.00039942866296089816, 'epoch': 0.04}

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{'loss': 1.3808, 'learning_rate': 0.00039940718314682855, 'epoch': 0.04}

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{'loss': 1.6445, 'learning_rate': 0.00039939993526024397, 'epoch': 0.04}

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{'loss': 1.6483, 'learning_rate': 0.000399385307573808, 'epoch': 0.04}

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{'loss': 1.5486, 'learning_rate': 0.00039937792777718236, 'epoch': 0.04}

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{'loss': 1.5724, 'learning_rate': 0.00039937050401378483, 'epoch': 0.04}

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{'loss': 1.4924, 'learning_rate': 0.00039936303628525254, 'epoch': 0.04}

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{'loss': 1.601, 'learning_rate': 0.00039935552459323224, 'epoch': 0.04}

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{'loss': 1.7831, 'learning_rate': 0.00039934796893938054, 'epoch': 0.04}

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{'loss': 1.5741, 'learning_rate': 0.0003993403693253634, 'epoch': 0.04}

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{'loss': 1.6514, 'learning_rate': 0.00039932503822354647, 'epoch': 0.04}

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{'loss': 1.5137, 'learning_rate': 0.00039930953130130453, 'epoch': 0.04}

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{'loss': 1.5319, 'learning_rate': 0.00039930171191179266, 'epoch': 0.04}

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{'loss': 1.6317, 'learning_rate': 0.00039926195574958796, 'epoch': 0.04}

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{'loss': 1.557, 'learning_rate': 0.0003992457456839804, 'epoch': 0.04}

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{'loss': 1.4845, 'learning_rate': 0.0003992211010579248, 'epoch': 0.04}

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{'loss': 1.5472, 'learning_rate': 0.00039919606104223116, 'epoch': 0.04}

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{'loss': 1.7518, 'learning_rate': 0.0003991876265145362, 'epoch': 0.04}

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{'loss': 1.515, 'learning_rate': 0.00039917914806203463, 'epoch': 0.04}

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{'loss': 1.7659, 'learning_rate': 0.00039917062568659603, 'epoch': 0.04}

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{'loss': 1.5993, 'learning_rate': 0.0003991620593900998, 'epoch': 0.04}

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{'loss': 1.6372, 'learning_rate': 0.0003991447950415002, 'epoch': 0.04}

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{'loss': 1.571, 'learning_rate': 0.00039913609699320407, 'epoch': 0.04}

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{'loss': 1.5746, 'learning_rate': 0.0003991273550314645, 'epoch': 0.04}

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{'loss': 1.291, 'learning_rate': 0.0003991185691582093, 'epoch': 0.04}

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{'loss': 1.5993, 'learning_rate': 0.000399109739375376, 'epoch': 0.04}

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{'loss': 1.5226, 'learning_rate': 0.0003985901346269403, 'epoch': 0.05}

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{'loss': 1.6461, 'learning_rate': 0.00039857898066284636, 'epoch': 0.05}

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{'loss': 1.5097, 'learning_rate': 0.00039856778290816425, 'epoch': 0.05}

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{'loss': 1.6536, 'learning_rate': 0.00039855654136536323, 'epoch': 0.05}

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{'loss': 1.632, 'learning_rate': 0.0003985452560369223, 'epoch': 0.05}

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{'loss': 1.385, 'learning_rate': 0.0003985339269253301, 'epoch': 0.05}

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{'loss': 1.531, 'learning_rate': 0.00039852255403308493, 'epoch': 0.05}

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{'loss': 1.3888, 'learning_rate': 0.0003985111373626947, 'epoch': 0.05}

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{'loss': 1.6587, 'learning_rate': 0.00039849967691667703, 'epoch': 0.05}

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{'loss': 1.6238, 'learning_rate': 0.0003984881726975592, 'epoch': 0.05}

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{'loss': 1.6448, 'learning_rate': 0.00039847662470787813, 'epoch': 0.05}

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{'loss': 1.6387, 'learning_rate': 0.0003984650329501803, 'epoch': 0.05}

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{'loss': 1.6623, 'learning_rate': 0.000398453397427022, 'epoch': 0.05}

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{'loss': 1.5612, 'learning_rate': 0.0003984417181409691, 'epoch': 0.05}

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{'loss': 1.5383, 'learning_rate': 0.00039842999509459695, 'epoch': 0.05}

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{'loss': 1.6209, 'learning_rate': 0.00039841822829049094, 'epoch': 0.05}

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{'loss': 1.5839, 'learning_rate': 0.0003984064177312457, 'epoch': 0.05}

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{'loss': 1.6077, 'learning_rate': 0.0003983945634194659, 'epoch': 0.05}

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{'loss': 1.4211, 'learning_rate': 0.00039838266535776543, 'epoch': 0.05}

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{'loss': 1.4477, 'learning_rate': 0.0003983707235487682, 'epoch': 0.05}

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{'loss': 1.6463, 'learning_rate': 0.00039835873799510754, 'epoch': 0.05}

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{'loss': 1.5374, 'learning_rate': 0.0003983467086994265, 'epoch': 0.06}

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{'loss': 1.4111, 'learning_rate': 0.00039833463566437777, 'epoch': 0.06}

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{'loss': 1.6402, 'learning_rate': 0.00039832251889262375, 'epoch': 0.06}

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{'loss': 1.4274, 'learning_rate': 0.00039831035838683646, 'epoch': 0.06}

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{'loss': 1.4816, 'learning_rate': 0.00039829815414969735, 'epoch': 0.06}

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{'loss': 1.4251, 'learning_rate': 0.00039828590618389784, 'epoch': 0.06}

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{'loss': 1.7404, 'learning_rate': 0.0003982736144921389, 'epoch': 0.06}

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{'loss': 1.5814, 'learning_rate': 0.0003982612790771309, 'epoch': 0.06}

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{'loss': 1.6694, 'learning_rate': 0.0003982488999415942, 'epoch': 0.06}

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{'loss': 1.6656, 'learning_rate': 0.0003982364770882586, 'epoch': 0.06}

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{'loss': 1.43, 'learning_rate': 0.0003982240105198636, 'epoch': 0.06}

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{'loss': 1.3906, 'learning_rate': 0.00039821150023915835, 'epoch': 0.06}

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{'loss': 1.51, 'learning_rate': 0.0003981989462489015, 'epoch': 0.06}

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{'loss': 1.466, 'learning_rate': 0.00039818634855186155, 'epoch': 0.06}

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{'loss': 1.4311, 'learning_rate': 0.00039817370715081646, 'epoch': 0.06}

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{'loss': 1.6227, 'learning_rate': 0.000398161022048554, 'epoch': 0.06}

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{'loss': 1.6498, 'learning_rate': 0.0003981482932478715, 'epoch': 0.06}

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{'loss': 1.6288, 'learning_rate': 0.00039813552075157585, 'epoch': 0.06}

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{'loss': 1.5591, 'learning_rate': 0.0003981227045624836, 'epoch': 0.06}

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{'loss': 1.8217, 'learning_rate': 0.00039810984468342103, 'epoch': 0.06}

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{'loss': 1.5938, 'learning_rate': 0.00039809694111722405, 'epoch': 0.06}

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{'loss': 1.6056, 'learning_rate': 0.000398083993866738, 'epoch': 0.06}

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{'loss': 1.4995, 'learning_rate': 0.0003980710029348182, 'epoch': 0.06}

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{'loss': 1.8153, 'learning_rate': 0.0003980579683243292, 'epoch': 0.06}

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{'loss': 1.3875, 'learning_rate': 0.0003980448900381456, 'epoch': 0.06}

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{'loss': 1.4348, 'learning_rate': 0.0003980317680791512, 'epoch': 0.06}

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{'loss': 1.5889, 'learning_rate': 0.00039801860245023985, 'epoch': 0.06}

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{'loss': 1.4764, 'learning_rate': 0.00039800539315431465, 'epoch': 0.06}

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{'loss': 1.7089, 'learning_rate': 0.0003979921401942887, 'epoch': 0.06}

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{'loss': 1.6527, 'learning_rate': 0.00039797884357308444, 'epoch': 0.06}

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{'loss': 1.5651, 'learning_rate': 0.000397965503293634, 'epoch': 0.06}

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{'loss': 1.6245, 'learning_rate': 0.00039795211935887925, 'epoch': 0.06}

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{'loss': 1.707, 'learning_rate': 0.0003979386917717715, 'epoch': 0.06}

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{'loss': 1.5326, 'learning_rate': 0.000397925220535272, 'epoch': 0.06}

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{'loss': 1.2171, 'learning_rate': 0.0003979117056523512, 'epoch': 0.06}

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{'loss': 1.2504, 'learning_rate': 0.00039789814712598955, 'epoch': 0.06}

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{'loss': 1.4966, 'learning_rate': 0.0003978845449591769, 'epoch': 0.06}

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{'loss': 1.4069, 'learning_rate': 0.00039787089915491284, 'epoch': 0.06}

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{'loss': 1.6532, 'learning_rate': 0.00039785720971620653, 'epoch': 0.06}

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{'loss': 1.5782, 'learning_rate': 0.00039784347664607677, 'epoch': 0.06}

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{'loss': 1.5442, 'learning_rate': 0.0003978296999475519, 'epoch': 0.06}

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{'loss': 1.6325, 'learning_rate': 0.00039781587962367006, 'epoch': 0.06}

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{'loss': 1.63, 'learning_rate': 0.0003978020156774788, 'epoch': 0.06}

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{'loss': 1.6714, 'learning_rate': 0.0003977881081120355, 'epoch': 0.06}

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{'loss': 1.656, 'learning_rate': 0.0003977741569304069, 'epoch': 0.06}

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{'loss': 1.5981, 'learning_rate': 0.0003977601621356697, 'epoch': 0.06}

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{'loss': 1.6093, 'learning_rate': 0.00039774612373090994, 'epoch': 0.06}

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{'loss': 1.7316, 'learning_rate': 0.0003977320417192234, 'epoch': 0.06}

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{'loss': 1.768, 'learning_rate': 0.00039771791610371525, 'epoch': 0.06}

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{'loss': 1.3698, 'learning_rate': 0.00039770374688750075, 'epoch': 0.06}

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{'loss': 1.5422, 'learning_rate': 0.0003976895340737044, 'epoch': 0.06}

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{'loss': 1.6188, 'learning_rate': 0.00039767527766546023, 'epoch': 0.06}

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{'loss': 1.8201, 'learning_rate': 0.00039766097766591235, 'epoch': 0.06}

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{'loss': 1.4786, 'learning_rate': 0.00039764663407821396, 'epoch': 0.06}

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{'loss': 1.5325, 'learning_rate': 0.0003976322469055282, 'epoch': 0.06}

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{'loss': 1.6914, 'learning_rate': 0.00039761781615102774, 'epoch': 0.06}

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{'loss': 1.7092, 'learning_rate': 0.0003976033418178948, 'epoch': 0.06}

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{'loss': 1.5761, 'learning_rate': 0.0003975888239093213, 'epoch': 0.06}

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{'loss': 1.4052, 'learning_rate': 0.0003975742624285087, 'epoch': 0.06}

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{'loss': 1.5484, 'learning_rate': 0.00039755965737866807, 'epoch': 0.06}

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{'loss': 1.3791, 'learning_rate': 0.00039754500876302017, 'epoch': 0.06}

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{'loss': 1.7864, 'learning_rate': 0.00039753031658479527, 'epoch': 0.06}

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{'loss': 1.4996, 'learning_rate': 0.0003975155808472333, 'epoch': 0.06}

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{'loss': 1.5726, 'learning_rate': 0.0003975008015535838, 'epoch': 0.06}

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{'loss': 1.5527, 'learning_rate': 0.0003974859787071058, 'epoch': 0.06}

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{'loss': 1.6359, 'learning_rate': 0.0003974711123110681, 'epoch': 0.06}

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{'loss': 1.4634, 'learning_rate': 0.0003974562023687491, 'epoch': 0.06}

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{'loss': 1.6526, 'learning_rate': 0.00039744124888343665, 'epoch': 0.06}

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{'loss': 1.5784, 'learning_rate': 0.0003974262518584283, 'epoch': 0.07}

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{'loss': 1.6034, 'learning_rate': 0.0003974112112970312, 'epoch': 0.07}

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{'loss': 1.6236, 'learning_rate': 0.0003973961272025621, 'epoch': 0.07}

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{'loss': 1.5095, 'learning_rate': 0.00039738099957834736, 'epoch': 0.07}

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{'loss': 1.5907, 'learning_rate': 0.0003973658284277229, 'epoch': 0.07}

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{'loss': 1.4992, 'learning_rate': 0.00039735061375403423, 'epoch': 0.07}

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{'loss': 1.8073, 'learning_rate': 0.0003973353555606365, 'epoch': 0.07}

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{'loss': 1.7525, 'learning_rate': 0.00039732005385089444, 'epoch': 0.07}

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{'loss': 1.6149, 'learning_rate': 0.00039730470862818246, 'epoch': 0.07}

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{'loss': 1.2932, 'learning_rate': 0.00039728931989588436, 'epoch': 0.07}

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{'loss': 1.6065, 'learning_rate': 0.0003972738876573937, 'epoch': 0.07}

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{'loss': 1.404, 'learning_rate': 0.0003972584119161137, 'epoch': 0.07}

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{'loss': 1.7282, 'learning_rate': 0.00039724289267545684, 'epoch': 0.07}

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{'loss': 1.4959, 'learning_rate': 0.00039722732993884566, 'epoch': 0.07}

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{'loss': 1.5699, 'learning_rate': 0.0003972117237097119, 'epoch': 0.07}

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{'loss': 1.746, 'learning_rate': 0.00039719607399149706, 'epoch': 0.07}

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{'loss': 1.4402, 'learning_rate': 0.0003971803807876523, 'epoch': 0.07}

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{'loss': 1.4108, 'learning_rate': 0.00039716464410163816, 'epoch': 0.07}

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{'loss': 1.5417, 'learning_rate': 0.000397148863936925, 'epoch': 0.07}

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{'loss': 1.599, 'learning_rate': 0.0003971330402969926, 'epoch': 0.07}

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{'loss': 1.5958, 'learning_rate': 0.0003971171731853304, 'epoch': 0.07}

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{'loss': 1.6444, 'learning_rate': 0.00039710126260543736, 'epoch': 0.07}

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{'loss': 1.4439, 'learning_rate': 0.0003970853085608222, 'epoch': 0.07}

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{'loss': 1.754, 'learning_rate': 0.00039706931105500294, 'epoch': 0.07}

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{'loss': 1.6078, 'learning_rate': 0.0003970532700915075, 'epoch': 0.07}

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{'loss': 1.4583, 'learning_rate': 0.00039703718567387313, 'epoch': 0.07}

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{'loss': 1.7857, 'learning_rate': 0.0003970210578056468, 'epoch': 0.07}

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{'loss': 1.6099, 'learning_rate': 0.000397004886490385, 'epoch': 0.07}

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{'loss': 1.5627, 'learning_rate': 0.00039698867173165384, 'epoch': 0.07}

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{'loss': 1.3948, 'learning_rate': 0.00039697241353302905, 'epoch': 0.07}

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{'loss': 1.5131, 'learning_rate': 0.00039695611189809573, 'epoch': 0.07}

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{'loss': 1.5071, 'learning_rate': 0.00039693976683044893, 'epoch': 0.07}

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{'loss': 1.4996, 'learning_rate': 0.00039692337833369286, 'epoch': 0.07}

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{'loss': 1.5247, 'learning_rate': 0.00039690694641144155, 'epoch': 0.07}

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{'loss': 1.6779, 'learning_rate': 0.0003968904710673187, 'epoch': 0.07}

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{'loss': 1.4853, 'learning_rate': 0.0003968739523049573, 'epoch': 0.07}

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{'loss': 1.5086, 'learning_rate': 0.00039685739012800013, 'epoch': 0.07}

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{'loss': 1.4432, 'learning_rate': 0.00039684078454009947, 'epoch': 0.07}

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{'loss': 1.7621, 'learning_rate': 0.00039682413554491714, 'epoch': 0.07}

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{'loss': 1.679, 'learning_rate': 0.0003968074431461246, 'epoch': 0.07}

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{'loss': 1.6102, 'learning_rate': 0.00039679070734740293, 'epoch': 0.07}

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{'loss': 1.7221, 'learning_rate': 0.0003967739281524426, 'epoch': 0.07}

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{'loss': 1.6246, 'learning_rate': 0.00039675710556494375, 'epoch': 0.07}

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{'loss': 1.4506, 'learning_rate': 0.0003967402395886161, 'epoch': 0.07}

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{'loss': 1.4963, 'learning_rate': 0.0003967233302271791, 'epoch': 0.07}

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{'loss': 1.5775, 'learning_rate': 0.00039670637748436135, 'epoch': 0.07}

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{'loss': 1.6431, 'learning_rate': 0.0003966893813639014, 'epoch': 0.07}

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{'loss': 1.5764, 'learning_rate': 0.0003966723418695472, 'epoch': 0.07}

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{'loss': 1.4797, 'learning_rate': 0.00039665525900505627, 'epoch': 0.07}

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{'loss': 1.4832, 'learning_rate': 0.00039663813277419576, 'epoch': 0.07}

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{'loss': 1.5731, 'learning_rate': 0.00039662096318074234, 'epoch': 0.07}

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{'loss': 1.5636, 'learning_rate': 0.0003966037502284823, 'epoch': 0.07}

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{'loss': 1.4426, 'learning_rate': 0.00039658649392121126, 'epoch': 0.07}

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{'loss': 1.4866, 'learning_rate': 0.00039656919426273474, 'epoch': 0.07}

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{'loss': 1.5041, 'learning_rate': 0.0003965518512568676, 'epoch': 0.07}

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{'loss': 1.6363, 'learning_rate': 0.0003965344649074343, 'epoch': 0.07}

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{'loss': 1.7862, 'learning_rate': 0.00039651703521826893, 'epoch': 0.07}

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{'loss': 1.601, 'learning_rate': 0.000396499562193215, 'epoch': 0.07}

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{'loss': 1.7703, 'learning_rate': 0.0003964820458361258, 'epoch': 0.07}

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{'loss': 1.3512, 'learning_rate': 0.00039646448615086383, 'epoch': 0.07}

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{'loss': 1.6212, 'learning_rate': 0.00039644688314130147, 'epoch': 0.07}

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{'loss': 1.5604, 'learning_rate': 0.00039642923681132056, 'epoch': 0.07}

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{'loss': 1.6653, 'learning_rate': 0.0003964115471648123, 'epoch': 0.07}

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{'loss': 1.4794, 'learning_rate': 0.00039639381420567785, 'epoch': 0.07}

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{'loss': 1.6225, 'learning_rate': 0.0003963760379378275, 'epoch': 0.07}

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{'loss': 1.5677, 'learning_rate': 0.0003963582183651813, 'epoch': 0.07}

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{'loss': 1.6847, 'learning_rate': 0.0003963403554916689, 'epoch': 0.07}

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{'loss': 1.3744, 'learning_rate': 0.00039632244932122926, 'epoch': 0.07}

  7%|▋         | 509/6790 [17:43<3:27:55,  1.99s/it]
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{'loss': 1.7241, 'learning_rate': 0.0003963044998578112, 'epoch': 0.08}

  8%|▊         | 510/6790 [17:45<3:33:03,  2.04s/it]
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{'loss': 1.5658, 'learning_rate': 0.00039628650710537286, 'epoch': 0.08}

  8%|▊         | 511/6790 [17:47<3:32:20,  2.03s/it]
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{'loss': 1.4954, 'learning_rate': 0.00039626847106788204, 'epoch': 0.08}

  8%|▊         | 512/6790 [17:49<3:30:32,  2.01s/it]
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{'loss': 1.6087, 'learning_rate': 0.000396250391749316, 'epoch': 0.08}

  8%|▊         | 513/6790 [17:52<3:53:25,  2.23s/it]
  8%|▊         | 514/6790 [17:54<3:48:49,  2.19s/it]
                                                    
{'loss': 1.7414, 'learning_rate': 0.00039623226915366154, 'epoch': 0.08}

  8%|▊         | 514/6790 [17:54<3:48:49,  2.19s/it]
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{'loss': 1.5169, 'learning_rate': 0.0003962141032849151, 'epoch': 0.08}

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{'loss': 1.3421, 'learning_rate': 0.00039619589414708267, 'epoch': 0.08}

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  8%|▊         | 517/6790 [18:00<3:38:28,  2.09s/it]
                                                    
{'loss': 1.5662, 'learning_rate': 0.00039617764174417966, 'epoch': 0.08}

  8%|▊         | 517/6790 [18:00<3:38:28,  2.09s/it]
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{'loss': 1.5684, 'learning_rate': 0.0003961593460802311, 'epoch': 0.08}

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{'loss': 1.5723, 'learning_rate': 0.0003961410071592716, 'epoch': 0.08}

  8%|▊         | 519/6790 [18:05<4:07:23,  2.37s/it]
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{'loss': 1.5047, 'learning_rate': 0.0003961226249853451, 'epoch': 0.08}

  8%|▊         | 520/6790 [18:07<3:49:12,  2.19s/it]
  8%|▊         | 521/6790 [18:09<3:44:43,  2.15s/it]
                                                    
{'loss': 1.569, 'learning_rate': 0.00039610419956250534, 'epoch': 0.08}

  8%|▊         | 521/6790 [18:09<3:44:43,  2.15s/it]
  8%|▊         | 522/6790 [18:11<3:38:51,  2.10s/it]
                                                    
{'loss': 1.5559, 'learning_rate': 0.00039608573089481555, 'epoch': 0.08}

  8%|▊         | 522/6790 [18:11<3:38:51,  2.10s/it]
  8%|▊         | 523/6790 [18:13<3:40:17,  2.11s/it]
                                                    
{'loss': 1.8505, 'learning_rate': 0.0003960672189863483, 'epoch': 0.08}

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{'loss': 1.2918, 'learning_rate': 0.00039604866384118593, 'epoch': 0.08}

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{'loss': 1.5761, 'learning_rate': 0.00039603006546342024, 'epoch': 0.08}

  8%|▊         | 525/6790 [18:17<3:24:54,  1.96s/it]
  8%|▊         | 526/6790 [18:19<3:21:26,  1.93s/it]
                                                    
{'loss': 1.419, 'learning_rate': 0.00039601142385715243, 'epoch': 0.08}

  8%|▊         | 526/6790 [18:19<3:21:26,  1.93s/it]
  8%|▊         | 527/6790 [18:21<3:21:38,  1.93s/it]
                                                    
{'loss': 1.4382, 'learning_rate': 0.0003959927390264934, 'epoch': 0.08}

  8%|▊         | 527/6790 [18:21<3:21:38,  1.93s/it]
  8%|▊         | 528/6790 [18:23<3:23:52,  1.95s/it]
                                                    
{'loss': 1.5256, 'learning_rate': 0.0003959740109755635, 'epoch': 0.08}

  8%|▊         | 528/6790 [18:23<3:23:52,  1.95s/it]
  8%|▊         | 529/6790 [18:25<3:34:26,  2.06s/it]
                                                    
{'loss': 1.7207, 'learning_rate': 0.00039595523970849267, 'epoch': 0.08}

  8%|▊         | 529/6790 [18:25<3:34:26,  2.06s/it]
  8%|▊         | 530/6790 [18:27<3:27:12,  1.99s/it]
                                                    
{'loss': 1.4946, 'learning_rate': 0.00039593642522942036, 'epoch': 0.08}

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  8%|▊         | 531/6790 [18:29<3:30:13,  2.02s/it]
                                                    
{'loss': 1.4288, 'learning_rate': 0.00039591756754249545, 'epoch': 0.08}

  8%|▊         | 531/6790 [18:29<3:30:13,  2.02s/it]
  8%|▊         | 532/6790 [18:31<3:28:34,  2.00s/it]
                                                    
{'loss': 1.6372, 'learning_rate': 0.0003958986666518765, 'epoch': 0.08}

  8%|▊         | 532/6790 [18:31<3:28:34,  2.00s/it]
  8%|▊         | 533/6790 [18:33<3:31:01,  2.02s/it]
                                                    
{'loss': 1.586, 'learning_rate': 0.0003958797225617316, 'epoch': 0.08}

  8%|▊         | 533/6790 [18:33<3:31:01,  2.02s/it]
  8%|▊         | 534/6790 [18:35<3:21:35,  1.93s/it]
                                                    
{'loss': 1.2555, 'learning_rate': 0.0003958607352762381, 'epoch': 0.08}

  8%|▊         | 534/6790 [18:35<3:21:35,  1.93s/it]
  8%|▊         | 535/6790 [18:37<3:24:00,  1.96s/it]
                                                    
{'loss': 1.7151, 'learning_rate': 0.00039584170479958325, 'epoch': 0.08}

  8%|▊         | 535/6790 [18:37<3:24:00,  1.96s/it]
  8%|▊         | 536/6790 [18:39<3:52:54,  2.23s/it]
                                                    
{'loss': 1.7707, 'learning_rate': 0.0003958226311359636, 'epoch': 0.08}

  8%|▊         | 536/6790 [18:39<3:52:54,  2.23s/it]
  8%|▊         | 537/6790 [18:41<3:45:05,  2.16s/it]
                                                    
{'loss': 1.5752, 'learning_rate': 0.0003958035142895852, 'epoch': 0.08}

  8%|▊         | 537/6790 [18:41<3:45:05,  2.16s/it]
  8%|▊         | 538/6790 [18:43<3:39:24,  2.11s/it]
                                                    
{'loss': 1.5623, 'learning_rate': 0.0003957843542646638, 'epoch': 0.08}

  8%|▊         | 538/6790 [18:43<3:39:24,  2.11s/it]
  8%|▊         | 539/6790 [18:45<3:38:36,  2.10s/it]
                                                    
{'loss': 1.6971, 'learning_rate': 0.00039576515106542445, 'epoch': 0.08}

  8%|▊         | 539/6790 [18:45<3:38:36,  2.10s/it]
  8%|▊         | 540/6790 [18:48<3:49:53,  2.21s/it]
                                                    
{'loss': 1.4505, 'learning_rate': 0.0003957459046961019, 'epoch': 0.08}

  8%|▊         | 540/6790 [18:48<3:49:53,  2.21s/it]
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{'loss': 1.4605, 'learning_rate': 0.0003957266151609404, 'epoch': 0.08}

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  8%|▊         | 542/6790 [18:52<3:33:33,  2.05s/it]
                                                    
{'loss': 1.7238, 'learning_rate': 0.0003957072824641936, 'epoch': 0.08}

  8%|▊         | 542/6790 [18:52<3:33:33,  2.05s/it]
  8%|▊         | 543/6790 [18:54<3:37:47,  2.09s/it]
                                                    
{'loss': 1.5428, 'learning_rate': 0.00039568790661012474, 'epoch': 0.08}

  8%|▊         | 543/6790 [18:54<3:37:47,  2.09s/it]
  8%|▊         | 544/6790 [18:56<3:47:16,  2.18s/it]
                                                    
{'loss': 1.5456, 'learning_rate': 0.00039566848760300664, 'epoch': 0.08}

  8%|▊         | 544/6790 [18:56<3:47:16,  2.18s/it]
  8%|▊         | 545/6790 [18:58<3:41:10,  2.13s/it]
                                                    
{'loss': 1.4786, 'learning_rate': 0.0003956490254471215, 'epoch': 0.08}

  8%|▊         | 545/6790 [18:58<3:41:10,  2.13s/it]
  8%|▊         | 546/6790 [19:00<3:33:33,  2.05s/it]
                                                    
{'loss': 1.7559, 'learning_rate': 0.00039562952014676116, 'epoch': 0.08}

  8%|▊         | 546/6790 [19:00<3:33:33,  2.05s/it]
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{'loss': 1.772, 'learning_rate': 0.0003956099717062269, 'epoch': 0.08}

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{'loss': 1.4457, 'learning_rate': 0.00039559038012982955, 'epoch': 0.08}

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  8%|▊         | 549/6790 [19:07<3:41:01,  2.12s/it]
                                                    
{'loss': 1.5248, 'learning_rate': 0.0003955707454218894, 'epoch': 0.08}

  8%|▊         | 549/6790 [19:07<3:41:01,  2.12s/it]
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{'loss': 1.5311, 'learning_rate': 0.0003955510675867364, 'epoch': 0.08}

  8%|▊         | 550/6790 [19:09<3:39:15,  2.11s/it]
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{'loss': 1.4755, 'learning_rate': 0.0003955313466287098, 'epoch': 0.08}

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{'loss': 1.4659, 'learning_rate': 0.00039551158255215845, 'epoch': 0.08}

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{'loss': 1.6177, 'learning_rate': 0.00039549177536144084, 'epoch': 0.08}

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{'loss': 1.7363, 'learning_rate': 0.0003954719250609247, 'epoch': 0.08}

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{'loss': 1.7455, 'learning_rate': 0.0003954520316549875, 'epoch': 0.08}

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{'loss': 1.313, 'learning_rate': 0.0003954320951480161, 'epoch': 0.08}

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{'loss': 1.589, 'learning_rate': 0.00039541211554440693, 'epoch': 0.08}

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{'loss': 1.7506, 'learning_rate': 0.00039539209284856586, 'epoch': 0.08}

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{'loss': 1.5365, 'learning_rate': 0.00039537202706490827, 'epoch': 0.08}

  8%|▊         | 559/6790 [19:28<3:38:28,  2.10s/it]
  8%|▊         | 560/6790 [19:30<3:34:43,  2.07s/it]
                                                    
{'loss': 1.5052, 'learning_rate': 0.00039535191819785906, 'epoch': 0.08}

  8%|▊         | 560/6790 [19:30<3:34:43,  2.07s/it]
  8%|▊         | 561/6790 [19:32<3:37:49,  2.10s/it]
                                                    
{'loss': 1.4812, 'learning_rate': 0.00039533176625185267, 'epoch': 0.08}

  8%|▊         | 561/6790 [19:32<3:37:49,  2.10s/it]
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{'loss': 1.503, 'learning_rate': 0.000395311571231333, 'epoch': 0.08}

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{'loss': 1.6071, 'learning_rate': 0.0003952913331407534, 'epoch': 0.08}

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{'loss': 1.6373, 'learning_rate': 0.0003952710519845768, 'epoch': 0.08}

  8%|▊         | 564/6790 [19:38<3:22:52,  1.96s/it]
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{'loss': 1.7429, 'learning_rate': 0.0003952507277672757, 'epoch': 0.08}

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{'loss': 1.6952, 'learning_rate': 0.0003952303604933318, 'epoch': 0.08}

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{'loss': 1.5997, 'learning_rate': 0.0003952099501672366, 'epoch': 0.08}

  8%|▊         | 567/6790 [19:44<3:36:47,  2.09s/it]
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{'loss': 1.4028, 'learning_rate': 0.00039518949679349095, 'epoch': 0.08}

  8%|▊         | 568/6790 [19:47<3:48:15,  2.20s/it]
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{'loss': 1.3166, 'learning_rate': 0.0003951690003766053, 'epoch': 0.08}

  8%|▊         | 569/6790 [19:49<3:43:25,  2.15s/it]
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{'loss': 1.654, 'learning_rate': 0.00039514846092109936, 'epoch': 0.08}

  8%|▊         | 570/6790 [19:51<3:42:32,  2.15s/it]
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{'loss': 1.5074, 'learning_rate': 0.00039512787843150256, 'epoch': 0.08}

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{'loss': 1.624, 'learning_rate': 0.00039510725291235383, 'epoch': 0.08}

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{'loss': 1.4702, 'learning_rate': 0.00039508658436820146, 'epoch': 0.08}

  8%|▊         | 573/6790 [19:57<3:21:05,  1.94s/it]
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{'loss': 1.6578, 'learning_rate': 0.00039506587280360315, 'epoch': 0.08}

  8%|▊         | 574/6790 [19:59<3:23:14,  1.96s/it]
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{'loss': 1.5257, 'learning_rate': 0.00039504511822312634, 'epoch': 0.08}

  8%|▊         | 575/6790 [20:01<3:26:08,  1.99s/it]
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{'loss': 1.6093, 'learning_rate': 0.0003950243206313478, 'epoch': 0.08}

  8%|▊         | 576/6790 [20:03<3:28:44,  2.02s/it]
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{'loss': 1.6823, 'learning_rate': 0.00039500348003285385, 'epoch': 0.08}

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{'loss': 1.5242, 'learning_rate': 0.00039498259643224007, 'epoch': 0.09}

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{'loss': 1.6566, 'learning_rate': 0.00039496166983411194, 'epoch': 0.09}

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{'loss': 1.7802, 'learning_rate': 0.00039494070024308404, 'epoch': 0.09}

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{'loss': 1.5347, 'learning_rate': 0.00039491968766378066, 'epoch': 0.09}

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{'loss': 1.5615, 'learning_rate': 0.0003948986321008355, 'epoch': 0.09}

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{'loss': 1.5319, 'learning_rate': 0.0003948775335588916, 'epoch': 0.09}

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{'loss': 1.6137, 'learning_rate': 0.0003948563920426017, 'epoch': 0.09}

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{'loss': 1.4292, 'learning_rate': 0.00039483520755662793, 'epoch': 0.09}

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{'loss': 1.3204, 'learning_rate': 0.00039481398010564187, 'epoch': 0.09}

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{'loss': 1.7767, 'learning_rate': 0.00039479270969432456, 'epoch': 0.09}

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{'loss': 1.4207, 'learning_rate': 0.00039477139632736663, 'epoch': 0.09}

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{'loss': 1.5523, 'learning_rate': 0.000394750040009468, 'epoch': 0.09}

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{'loss': 1.7062, 'learning_rate': 0.00039472864074533825, 'epoch': 0.09}

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{'loss': 1.5417, 'learning_rate': 0.00039470719853969624, 'epoch': 0.09}

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{'loss': 1.682, 'learning_rate': 0.0003946857133972705, 'epoch': 0.09}

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{'loss': 1.7556, 'learning_rate': 0.00039466418532279886, 'epoch': 0.09}

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{'loss': 1.6422, 'learning_rate': 0.0003946426143210287, 'epoch': 0.09}

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{'loss': 1.5993, 'learning_rate': 0.00039462100039671684, 'epoch': 0.09}

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{'loss': 1.4091, 'learning_rate': 0.0003945993435546296, 'epoch': 0.09}

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{'loss': 1.4334, 'learning_rate': 0.0003945776437995428, 'epoch': 0.09}

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{'loss': 1.5028, 'learning_rate': 0.0003945559011362415, 'epoch': 0.09}

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{'loss': 1.5019, 'learning_rate': 0.00039453411556952063, 'epoch': 0.09}

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{'loss': 1.4702, 'learning_rate': 0.0003945122871041841, 'epoch': 0.09}

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{'loss': 1.3659, 'learning_rate': 0.00039449041574504565, 'epoch': 0.09}

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{'loss': 1.4598, 'learning_rate': 0.0003944685014969284, 'epoch': 0.09}

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{'loss': 1.4831, 'learning_rate': 0.0003944465443646647, 'epoch': 0.09}

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{'loss': 1.5262, 'learning_rate': 0.00039442454435309655, 'epoch': 0.09}

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{'loss': 1.4696, 'learning_rate': 0.0003944025014670755, 'epoch': 0.09}

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{'loss': 1.2458, 'learning_rate': 0.0003943804157114625, 'epoch': 0.09}

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{'loss': 1.5858, 'learning_rate': 0.00039435828709112765, 'epoch': 0.09}

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{'loss': 1.3698, 'learning_rate': 0.000394336115610951, 'epoch': 0.09}

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{'loss': 1.6065, 'learning_rate': 0.0003943139012758217, 'epoch': 0.09}

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{'loss': 1.5268, 'learning_rate': 0.00039429164409063836, 'epoch': 0.09}

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{'loss': 1.5227, 'learning_rate': 0.00039426934406030926, 'epoch': 0.09}

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{'loss': 1.6872, 'learning_rate': 0.00039424700118975193, 'epoch': 0.09}

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{'loss': 1.5023, 'learning_rate': 0.0003942246154838935, 'epoch': 0.09}

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{'loss': 1.726, 'learning_rate': 0.0003942021869476703, 'epoch': 0.09}

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{'loss': 1.6059, 'learning_rate': 0.00039417971558602835, 'epoch': 0.09}

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{'loss': 1.5997, 'learning_rate': 0.0003941572014039231, 'epoch': 0.09}

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{'loss': 1.8913, 'learning_rate': 0.0003941346444063193, 'epoch': 0.09}

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{'loss': 1.4707, 'learning_rate': 0.0003941120445981912, 'epoch': 0.09}

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{'loss': 1.5097, 'learning_rate': 0.0003940894019845225, 'epoch': 0.09}

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{'loss': 1.698, 'learning_rate': 0.00039406671657030645, 'epoch': 0.09}

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{'loss': 1.6767, 'learning_rate': 0.00039404398836054543, 'epoch': 0.09}

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{'loss': 1.5162, 'learning_rate': 0.0003940212173602517, 'epoch': 0.09}

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{'loss': 1.478, 'learning_rate': 0.00039399840357444654, 'epoch': 0.09}

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{'loss': 1.4401, 'learning_rate': 0.0003939755470081609, 'epoch': 0.09}

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{'loss': 1.3641, 'learning_rate': 0.0003939526476664351, 'epoch': 0.09}

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{'loss': 1.7617, 'learning_rate': 0.0003939297055543189, 'epoch': 0.09}

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{'loss': 1.6983, 'learning_rate': 0.0003939067206768715, 'epoch': 0.09}

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{'loss': 1.5936, 'learning_rate': 0.0003938836930391615, 'epoch': 0.09}

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{'loss': 1.6239, 'learning_rate': 0.00039386062264626696, 'epoch': 0.09}

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{'loss': 1.7184, 'learning_rate': 0.0003938375095032754, 'epoch': 0.09}

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{'loss': 1.5136, 'learning_rate': 0.00039381435361528363, 'epoch': 0.09}

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{'loss': 1.6812, 'learning_rate': 0.000393791154987398, 'epoch': 0.09}

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{'loss': 1.5531, 'learning_rate': 0.00039376791362473435, 'epoch': 0.09}

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{'loss': 1.7029, 'learning_rate': 0.00039374462953241775, 'epoch': 0.09}

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{'loss': 1.3812, 'learning_rate': 0.0003937213027155829, 'epoch': 0.09}

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{'loss': 1.6323, 'learning_rate': 0.00039369793317937376, 'epoch': 0.09}

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{'loss': 1.6777, 'learning_rate': 0.0003936745209289438, 'epoch': 0.09}

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{'loss': 1.5442, 'learning_rate': 0.0003936510659694559, 'epoch': 0.09}

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{'loss': 1.549, 'learning_rate': 0.0003936275683060823, 'epoch': 0.09}

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{'loss': 1.4644, 'learning_rate': 0.00039360402794400473, 'epoch': 0.09}

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{'loss': 1.6107, 'learning_rate': 0.00039358044488841423, 'epoch': 0.09}

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{'loss': 1.5302, 'learning_rate': 0.0003935568191445115, 'epoch': 0.09}

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{'loss': 1.749, 'learning_rate': 0.00039353315071750635, 'epoch': 0.09}

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{'loss': 1.5518, 'learning_rate': 0.0003935094396126181, 'epoch': 0.09}

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{'loss': 1.672, 'learning_rate': 0.0003934856858350757, 'epoch': 0.09}

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{'loss': 1.4871, 'learning_rate': 0.00039346188939011706, 'epoch': 0.1}

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{'loss': 1.5179, 'learning_rate': 0.00039343805028299003, 'epoch': 0.1}

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{'loss': 1.4641, 'learning_rate': 0.0003934141685189514, 'epoch': 0.1}

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{'loss': 1.4858, 'learning_rate': 0.0003933902441032677, 'epoch': 0.1}

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{'loss': 1.4716, 'learning_rate': 0.0003933662770412147, 'epoch': 0.1}

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{'loss': 1.5734, 'learning_rate': 0.00039334226733807765, 'epoch': 0.1}

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{'loss': 1.4555, 'learning_rate': 0.00039331821499915106, 'epoch': 0.1}

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{'loss': 1.6127, 'learning_rate': 0.000393294120029739, 'epoch': 0.1}

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{'loss': 1.498, 'learning_rate': 0.00039326998243515495, 'epoch': 0.1}

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{'loss': 1.3582, 'learning_rate': 0.00039324580222072157, 'epoch': 0.1}

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{'loss': 1.5743, 'learning_rate': 0.00039322157939177124, 'epoch': 0.1}

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{'loss': 1.6453, 'learning_rate': 0.0003931973139536455, 'epoch': 0.1}

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{'loss': 1.6836, 'learning_rate': 0.00039317300591169537, 'epoch': 0.1}

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{'loss': 1.2926, 'learning_rate': 0.0003931486552712812, 'epoch': 0.1}

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{'loss': 1.5307, 'learning_rate': 0.0003931242620377729, 'epoch': 0.1}

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{'loss': 1.4516, 'learning_rate': 0.00039309982621654955, 'epoch': 0.1}

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{'loss': 1.6667, 'learning_rate': 0.0003930753478129998, 'epoch': 0.1}

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{'loss': 1.529, 'learning_rate': 0.0003930508268325216, 'epoch': 0.1}

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{'loss': 1.4201, 'learning_rate': 0.00039302626328052237, 'epoch': 0.1}

 10%|▉         | 664/6790 [23:04<3:59:52,  2.35s/it]
 10%|▉         | 665/6790 [23:06<3:55:59,  2.31s/it]
                                                    
{'loss': 1.3482, 'learning_rate': 0.00039300165716241864, 'epoch': 0.1}

 10%|▉         | 665/6790 [23:06<3:55:59,  2.31s/it]
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{'loss': 1.6872, 'learning_rate': 0.00039297700848363684, 'epoch': 0.1}

 10%|▉         | 666/6790 [23:08<3:47:38,  2.23s/it]
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{'loss': 1.4205, 'learning_rate': 0.0003929523172496123, 'epoch': 0.1}

 10%|▉         | 667/6790 [23:11<3:53:42,  2.29s/it]
 10%|▉         | 668/6790 [23:13<3:53:47,  2.29s/it]
                                                    
{'loss': 1.4811, 'learning_rate': 0.00039292758346579, 'epoch': 0.1}

 10%|▉         | 668/6790 [23:13<3:53:47,  2.29s/it]
 10%|▉         | 669/6790 [23:15<3:35:41,  2.11s/it]
                                                    
{'loss': 1.5839, 'learning_rate': 0.0003929028071376242, 'epoch': 0.1}

 10%|▉         | 669/6790 [23:15<3:35:41,  2.11s/it]
 10%|▉         | 670/6790 [23:16<3:30:54,  2.07s/it]
                                                    
{'loss': 1.693, 'learning_rate': 0.0003928779882705785, 'epoch': 0.1}

 10%|▉         | 670/6790 [23:16<3:30:54,  2.07s/it]
 10%|▉         | 671/6790 [23:19<3:33:42,  2.10s/it]
                                                    
{'loss': 1.535, 'learning_rate': 0.0003928531268701261, 'epoch': 0.1}

 10%|▉         | 671/6790 [23:19<3:33:42,  2.10s/it]
 10%|▉         | 672/6790 [23:21<3:42:38,  2.18s/it]
                                                    
{'loss': 1.542, 'learning_rate': 0.00039282822294174933, 'epoch': 0.1}

 10%|▉         | 672/6790 [23:21<3:42:38,  2.18s/it]
 10%|▉         | 673/6790 [23:23<3:50:49,  2.26s/it]
                                                    
{'loss': 1.5841, 'learning_rate': 0.00039280327649094006, 'epoch': 0.1}

 10%|▉         | 673/6790 [23:23<3:50:49,  2.26s/it]
 10%|▉         | 674/6790 [23:26<3:45:48,  2.22s/it]
                                                    
{'loss': 1.5136, 'learning_rate': 0.0003927782875231994, 'epoch': 0.1}

 10%|▉         | 674/6790 [23:26<3:45:48,  2.22s/it]
 10%|▉         | 675/6790 [23:28<3:44:54,  2.21s/it]
                                                    
{'loss': 1.5974, 'learning_rate': 0.000392753256044038, 'epoch': 0.1}

 10%|▉         | 675/6790 [23:28<3:44:54,  2.21s/it]
 10%|▉         | 676/6790 [23:30<3:33:45,  2.10s/it]
                                                    
{'loss': 1.5085, 'learning_rate': 0.0003927281820589757, 'epoch': 0.1}

 10%|▉         | 676/6790 [23:30<3:33:45,  2.10s/it]
 10%|▉         | 677/6790 [23:31<3:21:38,  1.98s/it]
                                                    
{'loss': 1.6081, 'learning_rate': 0.0003927030655735418, 'epoch': 0.1}

 10%|▉         | 677/6790 [23:31<3:21:38,  1.98s/it]
 10%|▉         | 678/6790 [23:33<3:18:18,  1.95s/it]
                                                    
{'loss': 1.5931, 'learning_rate': 0.0003926779065932752, 'epoch': 0.1}

 10%|▉         | 678/6790 [23:33<3:18:18,  1.95s/it]
 10%|█         | 679/6790 [23:35<3:19:59,  1.96s/it]
                                                    
{'loss': 1.3269, 'learning_rate': 0.00039265270512372363, 'epoch': 0.1}

 10%|█         | 679/6790 [23:35<3:19:59,  1.96s/it]
 10%|█         | 680/6790 [23:37<3:22:25,  1.99s/it]
                                                    
{'loss': 1.4248, 'learning_rate': 0.00039262746117044476, 'epoch': 0.1}

 10%|█         | 680/6790 [23:37<3:22:25,  1.99s/it]
 10%|█         | 681/6790 [23:39<3:21:33,  1.98s/it]
                                                    
{'loss': 1.5001, 'learning_rate': 0.00039260217473900525, 'epoch': 0.1}

 10%|█         | 681/6790 [23:39<3:21:33,  1.98s/it]
 10%|█         | 682/6790 [23:41<3:18:30,  1.95s/it]
                                                    
{'loss': 1.5468, 'learning_rate': 0.0003925768458349813, 'epoch': 0.1}

 10%|█         | 682/6790 [23:41<3:18:30,  1.95s/it]
 10%|█         | 683/6790 [23:43<3:29:38,  2.06s/it]
                                                    
{'loss': 1.5619, 'learning_rate': 0.00039255147446395845, 'epoch': 0.1}

 10%|█         | 683/6790 [23:43<3:29:38,  2.06s/it]
 10%|█         | 684/6790 [23:45<3:20:11,  1.97s/it]
                                                    
{'loss': 1.6709, 'learning_rate': 0.00039252606063153156, 'epoch': 0.1}

 10%|█         | 684/6790 [23:45<3:20:11,  1.97s/it]
 10%|█         | 685/6790 [23:48<3:37:23,  2.14s/it]
                                                    
{'loss': 1.4961, 'learning_rate': 0.0003925006043433049, 'epoch': 0.1}

 10%|█         | 685/6790 [23:48<3:37:23,  2.14s/it]
 10%|█         | 686/6790 [23:49<3:25:04,  2.02s/it]
                                                    
{'loss': 1.4908, 'learning_rate': 0.0003924751056048921, 'epoch': 0.1}

 10%|█         | 686/6790 [23:49<3:25:04,  2.02s/it]
 10%|█         | 687/6790 [23:51<3:23:50,  2.00s/it]
                                                    
{'loss': 1.5729, 'learning_rate': 0.00039244956442191606, 'epoch': 0.1}

 10%|█         | 687/6790 [23:51<3:23:50,  2.00s/it]
 10%|█         | 688/6790 [23:53<3:23:22,  2.00s/it]
                                                    
{'loss': 1.3864, 'learning_rate': 0.00039242398080000917, 'epoch': 0.1}

 10%|█         | 688/6790 [23:53<3:23:22,  2.00s/it]
 10%|█         | 689/6790 [23:56<3:30:43,  2.07s/it]
                                                    
{'loss': 1.6019, 'learning_rate': 0.0003923983547448132, 'epoch': 0.1}

 10%|█         | 689/6790 [23:56<3:30:43,  2.07s/it]
 10%|█         | 690/6790 [23:58<3:31:29,  2.08s/it]
                                                    
{'loss': 1.5368, 'learning_rate': 0.00039237268626197904, 'epoch': 0.1}

 10%|█         | 690/6790 [23:58<3:31:29,  2.08s/it]
 10%|█         | 691/6790 [23:59<3:21:34,  1.98s/it]
                                                    
{'loss': 1.5732, 'learning_rate': 0.0003923469753571672, 'epoch': 0.1}

 10%|█         | 691/6790 [23:59<3:21:34,  1.98s/it]
 10%|█         | 692/6790 [24:01<3:19:48,  1.97s/it]
                                                    
{'loss': 1.7633, 'learning_rate': 0.0003923212220360474, 'epoch': 0.1}

 10%|█         | 692/6790 [24:01<3:19:48,  1.97s/it]
 10%|█         | 693/6790 [24:03<3:15:05,  1.92s/it]
                                                    
{'loss': 1.6119, 'learning_rate': 0.00039229542630429885, 'epoch': 0.1}

 10%|█         | 693/6790 [24:03<3:15:05,  1.92s/it]
 10%|█         | 694/6790 [24:05<3:13:53,  1.91s/it]
                                                    
{'loss': 1.7213, 'learning_rate': 0.00039226958816760993, 'epoch': 0.1}

 10%|█         | 694/6790 [24:05<3:13:53,  1.91s/it]
 10%|█         | 695/6790 [24:07<3:23:24,  2.00s/it]
                                                    
{'loss': 1.5098, 'learning_rate': 0.0003922437076316785, 'epoch': 0.1}

 10%|█         | 695/6790 [24:07<3:23:24,  2.00s/it]
 10%|█         | 696/6790 [24:09<3:26:03,  2.03s/it]
                                                    
{'loss': 1.609, 'learning_rate': 0.0003922177847022116, 'epoch': 0.1}

 10%|█         | 696/6790 [24:09<3:26:03,  2.03s/it]
 10%|█         | 697/6790 [24:11<3:20:52,  1.98s/it]
                                                    
{'loss': 1.4105, 'learning_rate': 0.0003921918193849259, 'epoch': 0.1}

 10%|█         | 697/6790 [24:11<3:20:52,  1.98s/it]
 10%|█         | 698/6790 [24:13<3:13:21,  1.90s/it]
                                                    
{'loss': 1.568, 'learning_rate': 0.0003921658116855473, 'epoch': 0.1}

 10%|█         | 698/6790 [24:13<3:13:21,  1.90s/it]
 10%|█         | 699/6790 [24:15<3:17:03,  1.94s/it]
                                                    
{'loss': 1.6352, 'learning_rate': 0.00039213976160981087, 'epoch': 0.1}

 10%|█         | 699/6790 [24:15<3:17:03,  1.94s/it]
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{'loss': 1.3287, 'learning_rate': 0.0003921136691634612, 'epoch': 0.1}

 10%|█         | 700/6790 [24:17<3:11:13,  1.88s/it]
 10%|█         | 701/6790 [24:19<3:26:09,  2.03s/it]
                                                    
{'loss': 1.4389, 'learning_rate': 0.0003920875343522523, 'epoch': 0.1}

 10%|█         | 701/6790 [24:19<3:26:09,  2.03s/it]
 10%|█         | 702/6790 [24:21<3:20:51,  1.98s/it]
                                                    
{'loss': 1.3886, 'learning_rate': 0.00039206135718194724, 'epoch': 0.1}

 10%|█         | 702/6790 [24:21<3:20:51,  1.98s/it]
 10%|█         | 703/6790 [24:23<3:18:06,  1.95s/it]
                                                    
{'loss': 1.5077, 'learning_rate': 0.0003920351376583187, 'epoch': 0.1}

 10%|█         | 703/6790 [24:23<3:18:06,  1.95s/it]
 10%|█         | 704/6790 [24:25<3:19:00,  1.96s/it]
                                                    
{'loss': 1.6164, 'learning_rate': 0.0003920088757871487, 'epoch': 0.1}

 10%|█         | 704/6790 [24:25<3:19:00,  1.96s/it]
 10%|█         | 705/6790 [24:27<3:22:51,  2.00s/it]
                                                    
{'loss': 1.5735, 'learning_rate': 0.0003919825715742283, 'epoch': 0.1}

 10%|█         | 705/6790 [24:27<3:22:51,  2.00s/it]
 10%|█         | 706/6790 [24:29<3:28:04,  2.05s/it]
                                                    
{'loss': 1.7722, 'learning_rate': 0.00039195622502535826, 'epoch': 0.1}

 10%|█         | 706/6790 [24:29<3:28:04,  2.05s/it]
 10%|█         | 707/6790 [24:31<3:31:17,  2.08s/it]
                                                    
{'loss': 1.7663, 'learning_rate': 0.00039192983614634835, 'epoch': 0.1}

 10%|█         | 707/6790 [24:31<3:31:17,  2.08s/it]
 10%|█         | 708/6790 [24:33<3:32:15,  2.09s/it]
                                                    
{'loss': 1.7443, 'learning_rate': 0.00039190340494301806, 'epoch': 0.1}

 10%|█         | 708/6790 [24:33<3:32:15,  2.09s/it]
 10%|█         | 709/6790 [24:36<3:43:11,  2.20s/it]
                                                    
{'loss': 1.6344, 'learning_rate': 0.0003918769314211958, 'epoch': 0.1}

 10%|█         | 709/6790 [24:36<3:43:11,  2.20s/it]
 10%|█         | 710/6790 [24:38<3:46:41,  2.24s/it]
                                                    
{'loss': 1.5701, 'learning_rate': 0.0003918504155867196, 'epoch': 0.1}

 10%|█         | 710/6790 [24:38<3:46:41,  2.24s/it]
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{'loss': 1.7835, 'learning_rate': 0.0003918238574454367, 'epoch': 0.1}

 10%|█         | 711/6790 [24:40<3:33:48,  2.11s/it]
 10%|█         | 712/6790 [24:42<3:39:53,  2.17s/it]
                                                    
{'loss': 1.5671, 'learning_rate': 0.0003917972570032037, 'epoch': 0.1}

 10%|█         | 712/6790 [24:42<3:39:53,  2.17s/it]
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{'loss': 1.5934, 'learning_rate': 0.0003917706142658865, 'epoch': 0.11}

 11%|█         | 713/6790 [24:44<3:40:13,  2.17s/it]
 11%|█         | 714/6790 [24:47<3:35:52,  2.13s/it]
                                                    
{'loss': 1.7197, 'learning_rate': 0.00039174392923936043, 'epoch': 0.11}

 11%|█         | 714/6790 [24:47<3:35:52,  2.13s/it]
 11%|█         | 715/6790 [24:49<3:32:01,  2.09s/it]
                                                    
{'loss': 1.5164, 'learning_rate': 0.00039171720192951, 'epoch': 0.11}

 11%|█         | 715/6790 [24:49<3:32:01,  2.09s/it]
 11%|█         | 716/6790 [24:51<3:32:35,  2.10s/it]
                                                    
{'loss': 1.7022, 'learning_rate': 0.00039169043234222906, 'epoch': 0.11}

 11%|█         | 716/6790 [24:51<3:32:35,  2.10s/it]
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{'loss': 1.4995, 'learning_rate': 0.0003916636204834209, 'epoch': 0.11}

 11%|█         | 717/6790 [24:53<3:30:08,  2.08s/it]
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{'loss': 1.3458, 'learning_rate': 0.0003916367663589981, 'epoch': 0.11}

 11%|█         | 718/6790 [24:55<3:23:24,  2.01s/it]
 11%|█         | 719/6790 [24:57<3:26:20,  2.04s/it]
                                                    
{'loss': 1.6065, 'learning_rate': 0.0003916098699748824, 'epoch': 0.11}

 11%|█         | 719/6790 [24:57<3:26:20,  2.04s/it]
 11%|█         | 720/6790 [24:59<3:25:06,  2.03s/it]
                                                    
{'loss': 1.4139, 'learning_rate': 0.00039158293133700504, 'epoch': 0.11}

 11%|█         | 720/6790 [24:59<3:25:06,  2.03s/it]
 11%|█         | 721/6790 [25:01<3:22:09,  2.00s/it]
                                                    
{'loss': 1.6033, 'learning_rate': 0.0003915559504513066, 'epoch': 0.11}

 11%|█         | 721/6790 [25:01<3:22:09,  2.00s/it]
 11%|█         | 722/6790 [25:03<3:38:43,  2.16s/it]
                                                    
{'loss': 1.487, 'learning_rate': 0.0003915289273237369, 'epoch': 0.11}

 11%|█         | 722/6790 [25:03<3:38:43,  2.16s/it]
 11%|█         | 723/6790 [25:05<3:29:48,  2.07s/it]
                                                    
{'loss': 1.4691, 'learning_rate': 0.00039150186196025495, 'epoch': 0.11}

 11%|█         | 723/6790 [25:05<3:29:48,  2.07s/it]
 11%|█         | 724/6790 [25:07<3:19:18,  1.97s/it]
                                                    
{'loss': 1.408, 'learning_rate': 0.0003914747543668293, 'epoch': 0.11}

 11%|█         | 724/6790 [25:07<3:19:18,  1.97s/it]
 11%|█         | 725/6790 [25:09<3:18:59,  1.97s/it]
                                                    
{'loss': 1.5066, 'learning_rate': 0.0003914476045494376, 'epoch': 0.11}

 11%|█         | 725/6790 [25:09<3:18:59,  1.97s/it]
 11%|█         | 726/6790 [25:11<3:20:25,  1.98s/it]
                                                    
{'loss': 1.6618, 'learning_rate': 0.0003914204125140671, 'epoch': 0.11}

 11%|█         | 726/6790 [25:11<3:20:25,  1.98s/it]
 11%|█         | 727/6790 [25:13<3:17:01,  1.95s/it]
                                                    
{'loss': 1.5172, 'learning_rate': 0.000391393178266714, 'epoch': 0.11}

 11%|█         | 727/6790 [25:13<3:17:01,  1.95s/it]
 11%|█         | 728/6790 [25:15<3:17:07,  1.95s/it]
                                                    
{'loss': 1.6508, 'learning_rate': 0.0003913659018133841, 'epoch': 0.11}

 11%|█         | 728/6790 [25:15<3:17:07,  1.95s/it]
 11%|█         | 729/6790 [25:17<3:28:46,  2.07s/it]
                                                    
{'loss': 1.4165, 'learning_rate': 0.00039133858316009235, 'epoch': 0.11}

 11%|█         | 729/6790 [25:17<3:28:46,  2.07s/it]
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{'loss': 1.6862, 'learning_rate': 0.00039131122231286303, 'epoch': 0.11}

 11%|█         | 730/6790 [25:19<3:24:55,  2.03s/it]
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{'loss': 1.5169, 'learning_rate': 0.00039128381927772983, 'epoch': 0.11}

 11%|█         | 731/6790 [25:21<3:25:21,  2.03s/it]
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{'loss': 1.7404, 'learning_rate': 0.00039125637406073555, 'epoch': 0.11}

 11%|█         | 732/6790 [25:23<3:26:12,  2.04s/it]
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{'loss': 1.6038, 'learning_rate': 0.0003912288866679325, 'epoch': 0.11}

 11%|█         | 733/6790 [25:25<3:26:56,  2.05s/it]
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{'loss': 1.5247, 'learning_rate': 0.0003912013571053822, 'epoch': 0.11}

 11%|█         | 734/6790 [25:27<3:18:50,  1.97s/it]
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{'loss': 1.5959, 'learning_rate': 0.00039117378537915535, 'epoch': 0.11}

 11%|█         | 735/6790 [25:29<3:23:51,  2.02s/it]
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{'loss': 1.3927, 'learning_rate': 0.0003911461714953322, 'epoch': 0.11}

 11%|█         | 736/6790 [25:31<3:20:42,  1.99s/it]
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{'loss': 1.6331, 'learning_rate': 0.0003911185154600021, 'epoch': 0.11}

 11%|█         | 737/6790 [25:33<3:18:54,  1.97s/it]
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{'loss': 1.347, 'learning_rate': 0.00039109081727926366, 'epoch': 0.11}

 11%|█         | 738/6790 [25:35<3:12:55,  1.91s/it]
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{'loss': 1.5514, 'learning_rate': 0.00039106307695922494, 'epoch': 0.11}

 11%|█         | 739/6790 [25:36<3:10:15,  1.89s/it]
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{'loss': 1.6877, 'learning_rate': 0.0003910352945060033, 'epoch': 0.11}

 11%|█         | 740/6790 [25:39<3:20:00,  1.98s/it]
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{'loss': 1.6682, 'learning_rate': 0.00039100746992572525, 'epoch': 0.11}

 11%|█         | 741/6790 [25:41<3:23:01,  2.01s/it]
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{'loss': 1.6385, 'learning_rate': 0.0003909796032245267, 'epoch': 0.11}

 11%|█         | 742/6790 [25:42<3:15:48,  1.94s/it]
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{'loss': 1.4982, 'learning_rate': 0.00039095169440855275, 'epoch': 0.11}

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{'loss': 1.5717, 'learning_rate': 0.0003909237434839579, 'epoch': 0.11}

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{'loss': 1.7718, 'learning_rate': 0.0003908957504569058, 'epoch': 0.11}

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{'loss': 1.5193, 'learning_rate': 0.0003908677153335696, 'epoch': 0.11}

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{'loss': 1.4813, 'learning_rate': 0.00039083963812013147, 'epoch': 0.11}

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{'loss': 1.522, 'learning_rate': 0.0003908115188227831, 'epoch': 0.11}

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{'loss': 1.4607, 'learning_rate': 0.00039078335744772524, 'epoch': 0.11}

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{'loss': 1.5857, 'learning_rate': 0.00039075515400116805, 'epoch': 0.11}

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{'loss': 1.5042, 'learning_rate': 0.00039072690848933106, 'epoch': 0.11}

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{'loss': 1.3573, 'learning_rate': 0.00039069862091844283, 'epoch': 0.11}

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{'loss': 1.5034, 'learning_rate': 0.0003906702912947414, 'epoch': 0.11}

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{'loss': 1.4025, 'learning_rate': 0.000390641919624474, 'epoch': 0.11}

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{'loss': 1.5555, 'learning_rate': 0.00039061350591389714, 'epoch': 0.11}

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{'loss': 1.4453, 'learning_rate': 0.0003905850501692766, 'epoch': 0.11}

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{'loss': 1.5924, 'learning_rate': 0.0003905565523968874, 'epoch': 0.11}

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{'loss': 1.5903, 'learning_rate': 0.00039052801260301397, 'epoch': 0.11}

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{'loss': 1.7131, 'learning_rate': 0.00039049943079394976, 'epoch': 0.11}

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{'loss': 1.3069, 'learning_rate': 0.0003904708069759977, 'epoch': 0.11}

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{'loss': 1.4272, 'learning_rate': 0.0003904421411554699, 'epoch': 0.11}

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{'loss': 1.6243, 'learning_rate': 0.00039041343333868773, 'epoch': 0.11}

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{'loss': 1.5816, 'learning_rate': 0.00039038468353198185, 'epoch': 0.11}

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{'loss': 1.6701, 'learning_rate': 0.00039035589174169215, 'epoch': 0.11}

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{'loss': 1.8287, 'learning_rate': 0.0003903270579741678, 'epoch': 0.11}

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{'loss': 1.6725, 'learning_rate': 0.00039029818223576714, 'epoch': 0.11}

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{'loss': 1.4517, 'learning_rate': 0.0003902692645328579, 'epoch': 0.11}

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{'loss': 1.5178, 'learning_rate': 0.00039024030487181706, 'epoch': 0.11}

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{'loss': 1.4759, 'learning_rate': 0.00039021130325903074, 'epoch': 0.11}

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{'loss': 1.6269, 'learning_rate': 0.00039018225970089435, 'epoch': 0.11}

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{'loss': 1.524, 'learning_rate': 0.00039015317420381263, 'epoch': 0.11}

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{'loss': 1.4536, 'learning_rate': 0.0003901240467741994, 'epoch': 0.11}

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{'loss': 1.6024, 'learning_rate': 0.00039009487741847794, 'epoch': 0.11}

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{'loss': 1.4983, 'learning_rate': 0.0003900656661430806, 'epoch': 0.11}

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{'loss': 1.4915, 'learning_rate': 0.00039003641295444914, 'epoch': 0.11}

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{'loss': 1.429, 'learning_rate': 0.0003900071178590343, 'epoch': 0.11}

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{'loss': 1.5219, 'learning_rate': 0.00038997778086329645, 'epoch': 0.11}

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{'loss': 1.5938, 'learning_rate': 0.0003899484019737048, 'epoch': 0.11}

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{'loss': 1.5891, 'learning_rate': 0.00038991898119673796, 'epoch': 0.11}

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{'loss': 1.4167, 'learning_rate': 0.0003898895185388839, 'epoch': 0.11}

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{'loss': 1.3507, 'learning_rate': 0.0003898600140066397, 'epoch': 0.12}

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{'loss': 1.6376, 'learning_rate': 0.00038983046760651175, 'epoch': 0.12}

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{'loss': 1.4203, 'learning_rate': 0.0003898008793450154, 'epoch': 0.12}

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{'loss': 1.3416, 'learning_rate': 0.0003897712492286757, 'epoch': 0.12}

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{'loss': 1.3448, 'learning_rate': 0.00038974157726402644, 'epoch': 0.12}

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{'loss': 1.2945, 'learning_rate': 0.00038971186345761107, 'epoch': 0.12}

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{'loss': 1.4655, 'learning_rate': 0.00038968210781598197, 'epoch': 0.12}

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{'loss': 1.4959, 'learning_rate': 0.00038965231034570084, 'epoch': 0.12}

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{'loss': 1.5594, 'learning_rate': 0.0003896224710533387, 'epoch': 0.12}

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{'loss': 1.5035, 'learning_rate': 0.00038959258994547563, 'epoch': 0.12}

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{'loss': 1.5386, 'learning_rate': 0.000389562667028701, 'epoch': 0.12}

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{'loss': 1.663, 'learning_rate': 0.0003895327023096135, 'epoch': 0.12}

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{'loss': 1.5536, 'learning_rate': 0.00038950269579482075, 'epoch': 0.12}

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{'loss': 1.5191, 'learning_rate': 0.00038947264749094, 'epoch': 0.12}

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{'loss': 1.5997, 'learning_rate': 0.00038944255740459735, 'epoch': 0.12}

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{'loss': 1.5596, 'learning_rate': 0.0003894124255424283, 'epoch': 0.12}

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{'loss': 1.5056, 'learning_rate': 0.0003893822519110775, 'epoch': 0.12}

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{'loss': 1.5979, 'learning_rate': 0.0003893520365171989, 'epoch': 0.12}

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{'loss': 1.5391, 'learning_rate': 0.0003893217793674555, 'epoch': 0.12}

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{'loss': 1.4412, 'learning_rate': 0.0003892914804685197, 'epoch': 0.12}

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{'loss': 1.4203, 'learning_rate': 0.00038926113982707284, 'epoch': 0.12}

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{'loss': 1.6794, 'learning_rate': 0.00038923075744980585, 'epoch': 0.12}

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{'loss': 1.4631, 'learning_rate': 0.0003892003333434185, 'epoch': 0.12}

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{'loss': 1.7884, 'learning_rate': 0.0003891698675146199, 'epoch': 0.12}

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{'loss': 1.6744, 'learning_rate': 0.0003891393599701284, 'epoch': 0.12}

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{'loss': 1.6197, 'learning_rate': 0.0003891088107166716, 'epoch': 0.12}

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{'loss': 1.604, 'learning_rate': 0.0003890782197609861, 'epoch': 0.12}

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{'loss': 1.6152, 'learning_rate': 0.0003890475871098178, 'epoch': 0.12}

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{'loss': 1.4371, 'learning_rate': 0.00038901691276992193, 'epoch': 0.12}

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{'loss': 1.5547, 'learning_rate': 0.00038898619674806274, 'epoch': 0.12}

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{'loss': 1.5128, 'learning_rate': 0.0003889554390510136, 'epoch': 0.12}

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{'loss': 1.6002, 'learning_rate': 0.00038892463968555726, 'epoch': 0.12}

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{'loss': 1.6069, 'learning_rate': 0.0003888937986584857, 'epoch': 0.12}

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{'loss': 1.6332, 'learning_rate': 0.0003888629159765998, 'epoch': 0.12}

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{'loss': 1.434, 'learning_rate': 0.00038883199164670997, 'epoch': 0.12}

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{'loss': 1.3753, 'learning_rate': 0.0003888010256756355, 'epoch': 0.12}

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{'loss': 1.3606, 'learning_rate': 0.00038877001807020503, 'epoch': 0.12}

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{'loss': 1.4982, 'learning_rate': 0.0003887389688372564, 'epoch': 0.12}

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{'loss': 1.6248, 'learning_rate': 0.00038870787798363655, 'epoch': 0.12}

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{'loss': 1.5323, 'learning_rate': 0.00038867674551620163, 'epoch': 0.12}

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{'loss': 1.5982, 'learning_rate': 0.00038864557144181695, 'epoch': 0.12}

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{'loss': 1.4366, 'learning_rate': 0.00038861435576735705, 'epoch': 0.12}

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{'loss': 1.6845, 'learning_rate': 0.00038858309849970553, 'epoch': 0.12}

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{'loss': 1.7337, 'learning_rate': 0.00038855179964575527, 'epoch': 0.12}

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{'loss': 1.5676, 'learning_rate': 0.00038852045921240833, 'epoch': 0.12}

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{'loss': 1.5175, 'learning_rate': 0.0003883946818234145, 'epoch': 0.12}

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{'loss': 1.7237, 'learning_rate': 0.0003882047695371166, 'epoch': 0.12}

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{'loss': 1.7124, 'learning_rate': 0.00038817297218856007, 'epoch': 0.12}

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{'loss': 1.3732, 'learning_rate': 0.0003881411333441458, 'epoch': 0.12}

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{'loss': 1.5546, 'learning_rate': 0.0003881092530108947, 'epoch': 0.12}

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{'loss': 1.4159, 'learning_rate': 0.00038807733119583727, 'epoch': 0.12}

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{'loss': 1.3383, 'learning_rate': 0.00038804536790601273, 'epoch': 0.12}

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{'loss': 1.4674, 'learning_rate': 0.0003880133631484697, 'epoch': 0.12}

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{'loss': 1.4487, 'learning_rate': 0.000387949229258468, 'epoch': 0.12}

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{'loss': 1.5378, 'learning_rate': 0.00038791710014015213, 'epoch': 0.12}

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{'loss': 1.5824, 'learning_rate': 0.00038788492958240326, 'epoch': 0.12}

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{'loss': 1.7137, 'learning_rate': 0.0003878527175923157, 'epoch': 0.12}

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{'loss': 1.3204, 'learning_rate': 0.00038778816934354724, 'epoch': 0.12}

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{'loss': 1.5142, 'learning_rate': 0.0003876910364057356, 'epoch': 0.13}

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{'loss': 1.5938, 'learning_rate': 0.00038739740333003917, 'epoch': 0.13}

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{'loss': 1.5879, 'learning_rate': 0.00038733169677715077, 'epoch': 0.13}

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{'loss': 1.5241, 'learning_rate': 0.000387298781531572, 'epoch': 0.13}

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{'loss': 1.3767, 'learning_rate': 0.0003871667075911635, 'epoch': 0.13}

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{'loss': 1.5917, 'learning_rate': 0.00038713358590294417, 'epoch': 0.13}

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{'loss': 1.5287, 'learning_rate': 0.00038706721873386083, 'epoch': 0.13}

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{'loss': 1.4225, 'learning_rate': 0.00038703397326763213, 'epoch': 0.13}

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{'loss': 1.5645, 'learning_rate': 0.0003870006865567174, 'epoch': 0.13}

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{'loss': 1.395, 'learning_rate': 0.00038680010056452033, 'epoch': 0.13}

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{'loss': 1.5661, 'learning_rate': 0.0003867329089434576, 'epoch': 0.13}

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{'loss': 1.7218, 'learning_rate': 0.0003866992513617766, 'epoch': 0.13}

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{'loss': 1.5151, 'learning_rate': 0.0003866655526092224, 'epoch': 0.13}

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{'loss': 1.5566, 'learning_rate': 0.0003866318126932262, 'epoch': 0.13}

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{'loss': 1.4699, 'learning_rate': 0.00038659803162122836, 'epoch': 0.13}

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{'loss': 1.5088, 'learning_rate': 0.0003865642094006782, 'epoch': 0.13}

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{'loss': 1.6382, 'learning_rate': 0.00038653034603903434, 'epoch': 0.13}

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{'loss': 1.7748, 'learning_rate': 0.0003864964415437641, 'epoch': 0.13}

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{'loss': 1.5273, 'learning_rate': 0.00038646249592234433, 'epoch': 0.13}

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{'loss': 1.6275, 'learning_rate': 0.00038642850918226045, 'epoch': 0.13}

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{'loss': 1.4923, 'learning_rate': 0.00038639448133100747, 'epoch': 0.13}

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{'loss': 1.6912, 'learning_rate': 0.00038636041237608904, 'epoch': 0.13}

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{'loss': 1.3766, 'learning_rate': 0.00038632630232501803, 'epoch': 0.13}

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{'loss': 1.555, 'learning_rate': 0.00038629215118531643, 'epoch': 0.13}

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{'loss': 1.3095, 'learning_rate': 0.00038625795896451526, 'epoch': 0.13}

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{'loss': 1.4821, 'learning_rate': 0.0003862237256701546, 'epoch': 0.13}

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{'loss': 1.3768, 'learning_rate': 0.00038618945130978343, 'epoch': 0.13}

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{'loss': 1.7245, 'learning_rate': 0.0003861551358909601, 'epoch': 0.13}

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{'loss': 1.5492, 'learning_rate': 0.00038612077942125177, 'epoch': 0.13}

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{'loss': 1.1945, 'learning_rate': 0.0003860863819082347, 'epoch': 0.13}

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{'loss': 1.3454, 'learning_rate': 0.00038605194335949414, 'epoch': 0.13}

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{'loss': 1.5728, 'learning_rate': 0.00038601746378262466, 'epoch': 0.13}

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{'loss': 1.6285, 'learning_rate': 0.00038598294318522956, 'epoch': 0.13}

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{'loss': 1.4612, 'learning_rate': 0.00038594838157492134, 'epoch': 0.13}

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{'loss': 1.7561, 'learning_rate': 0.00038591377895932146, 'epoch': 0.13}

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{'loss': 1.6683, 'learning_rate': 0.0003858791353460606, 'epoch': 0.13}

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{'loss': 1.6568, 'learning_rate': 0.0003858444507427783, 'epoch': 0.13}

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{'loss': 1.4502, 'learning_rate': 0.0003858097251571232, 'epoch': 0.13}

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{'loss': 1.3934, 'learning_rate': 0.00038577495859675294, 'epoch': 0.13}

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{'loss': 1.4471, 'learning_rate': 0.0003857401510693343, 'epoch': 0.13}

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{'loss': 1.4266, 'learning_rate': 0.00038570530258254303, 'epoch': 0.13}

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{'loss': 1.3095, 'learning_rate': 0.00038567041314406384, 'epoch': 0.13}

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{'loss': 1.8519, 'learning_rate': 0.0003856354827615905, 'epoch': 0.13}

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{'loss': 1.5989, 'learning_rate': 0.00038560051144282607, 'epoch': 0.13}

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{'loss': 1.7732, 'learning_rate': 0.0003855654991954822, 'epoch': 0.13}

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{'loss': 1.7127, 'learning_rate': 0.0003855304460272799, 'epoch': 0.13}

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{'loss': 1.506, 'learning_rate': 0.00038549535194594897, 'epoch': 0.13}

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{'loss': 1.7999, 'learning_rate': 0.00038546021695922854, 'epoch': 0.14}

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{'loss': 1.3227, 'learning_rate': 0.00038542504107486633, 'epoch': 0.14}

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{'loss': 1.5, 'learning_rate': 0.0003853898243006195, 'epoch': 0.14}

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{'loss': 1.5511, 'learning_rate': 0.000385354566644254, 'epoch': 0.14}

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{'loss': 1.7017, 'learning_rate': 0.0003853192681135448, 'epoch': 0.14}

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{'loss': 1.5159, 'learning_rate': 0.0003852839287162759, 'epoch': 0.14}

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{'loss': 1.3174, 'learning_rate': 0.0003852485484602404, 'epoch': 0.14}

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{'loss': 1.3017, 'learning_rate': 0.00038521312735324034, 'epoch': 0.14}

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{'loss': 1.543, 'learning_rate': 0.0003851776654030868, 'epoch': 0.14}

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{'loss': 1.3168, 'learning_rate': 0.00038514216261759977, 'epoch': 0.14}

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{'loss': 1.6602, 'learning_rate': 0.00038510661900460834, 'epoch': 0.14}

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{'loss': 1.496, 'learning_rate': 0.00038507103457195057, 'epoch': 0.14}

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{'loss': 1.763, 'learning_rate': 0.0003850354093274735, 'epoch': 0.14}

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{'loss': 1.6829, 'learning_rate': 0.00038499974327903334, 'epoch': 0.14}

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{'loss': 1.6362, 'learning_rate': 0.00038496403643449497, 'epoch': 0.14}

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{'loss': 1.749, 'learning_rate': 0.0003849282888017327, 'epoch': 0.14}

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{'loss': 1.4259, 'learning_rate': 0.00038489250038862925, 'epoch': 0.14}

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{'loss': 1.678, 'learning_rate': 0.000384856671203077, 'epoch': 0.14}

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{'loss': 1.6668, 'learning_rate': 0.0003848208012529768, 'epoch': 0.14}

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{'loss': 1.5049, 'learning_rate': 0.00038478489054623874, 'epoch': 0.14}

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{'loss': 1.5108, 'learning_rate': 0.00038474893909078183, 'epoch': 0.14}

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{'loss': 1.5255, 'learning_rate': 0.0003847129468945341, 'epoch': 0.14}

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{'loss': 1.5504, 'learning_rate': 0.0003846769139654325, 'epoch': 0.14}

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{'loss': 1.7083, 'learning_rate': 0.00038464084031142304, 'epoch': 0.14}

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{'loss': 1.6054, 'learning_rate': 0.00038460472594046066, 'epoch': 0.14}

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{'loss': 1.7159, 'learning_rate': 0.00038456857086050926, 'epoch': 0.14}

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{'loss': 1.6767, 'learning_rate': 0.0003845323750795418, 'epoch': 0.14}

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{'loss': 1.5226, 'learning_rate': 0.00038449613860554014, 'epoch': 0.14}

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{'loss': 1.5709, 'learning_rate': 0.00038445986144649516, 'epoch': 0.14}

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{'loss': 1.4384, 'learning_rate': 0.00038442354361040664, 'epoch': 0.14}

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{'loss': 1.636, 'learning_rate': 0.00038438718510528345, 'epoch': 0.14}

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{'loss': 1.7387, 'learning_rate': 0.0003843507859391433, 'epoch': 0.14}

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{'loss': 1.6422, 'learning_rate': 0.00038431434612001293, 'epoch': 0.14}

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{'loss': 1.3665, 'learning_rate': 0.0003842778656559281, 'epoch': 0.14}

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{'loss': 1.6488, 'learning_rate': 0.0003842413445549334, 'epoch': 0.14}

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{'loss': 1.3922, 'learning_rate': 0.00038420478282508256, 'epoch': 0.14}

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{'loss': 1.5908, 'learning_rate': 0.000384168180474438, 'epoch': 0.14}

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{'loss': 1.6259, 'learning_rate': 0.0003841315375110713, 'epoch': 0.14}

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{'loss': 1.5613, 'learning_rate': 0.0003840948539430631, 'epoch': 0.14}

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{'loss': 1.6568, 'learning_rate': 0.0003840581297785028, 'epoch': 0.14}

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{'loss': 1.6794, 'learning_rate': 0.0003840213650254887, 'epoch': 0.14}

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{'loss': 1.5772, 'learning_rate': 0.0003839845596921282, 'epoch': 0.14}

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{'loss': 1.5506, 'learning_rate': 0.0003839477137865376, 'epoch': 0.14}

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{'loss': 1.7379, 'learning_rate': 0.0003839108273168422, 'epoch': 0.14}

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{'loss': 1.5639, 'learning_rate': 0.0003838739002911762, 'epoch': 0.14}

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{'loss': 1.6277, 'learning_rate': 0.00038383693271768263, 'epoch': 0.14}

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{'loss': 1.4198, 'learning_rate': 0.0003837999246045137, 'epoch': 0.14}

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{'loss': 1.3602, 'learning_rate': 0.0003837628759598304, 'epoch': 0.14}

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{'loss': 1.5063, 'learning_rate': 0.0003837257867918026, 'epoch': 0.14}

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{'loss': 1.4172, 'learning_rate': 0.0003836886571086093, 'epoch': 0.14}

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{'loss': 1.4566, 'learning_rate': 0.0003836514869184383, 'epoch': 0.14}

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{'loss': 1.6195, 'learning_rate': 0.0003836142762294863, 'epoch': 0.14}

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{'loss': 1.6053, 'learning_rate': 0.00038357702504995903, 'epoch': 0.14}

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{'loss': 1.5727, 'learning_rate': 0.0003835397333880711, 'epoch': 0.14}

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{'loss': 1.4643, 'learning_rate': 0.00038350240125204616, 'epoch': 0.14}

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{'loss': 1.3032, 'learning_rate': 0.00038346502865011656, 'epoch': 0.14}

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{'loss': 1.4967, 'learning_rate': 0.00038342761559052375, 'epoch': 0.14}

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{'loss': 1.4863, 'learning_rate': 0.00038339016208151797, 'epoch': 0.14}

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{'loss': 1.5244, 'learning_rate': 0.0003833526681313586, 'epoch': 0.14}

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{'loss': 1.4189, 'learning_rate': 0.0003833151337483137, 'epoch': 0.14}

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{'loss': 1.5719, 'learning_rate': 0.00038327755894066037, 'epoch': 0.14}

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{'loss': 1.4684, 'learning_rate': 0.00038323994371668456, 'epoch': 0.14}

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{'loss': 1.4409, 'learning_rate': 0.0003832022880846813, 'epoch': 0.14}

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{'loss': 1.5544, 'learning_rate': 0.00038316459205295415, 'epoch': 0.14}

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{'loss': 1.4396, 'learning_rate': 0.0003831268556298161, 'epoch': 0.14}

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{'loss': 1.5764, 'learning_rate': 0.00038308907882358864, 'epoch': 0.14}

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{'loss': 1.5976, 'learning_rate': 0.0003830512616426023, 'epoch': 0.14}

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{'loss': 1.4563, 'learning_rate': 0.00038301340409519657, 'epoch': 0.14}

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{'loss': 1.6701, 'learning_rate': 0.00038297550618971967, 'epoch': 0.15}

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{'loss': 1.7124, 'learning_rate': 0.000382937567934529, 'epoch': 0.15}

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{'loss': 1.4785, 'learning_rate': 0.0003828995893379906, 'epoch': 0.15}

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{'loss': 1.3263, 'learning_rate': 0.00038286157040847953, 'epoch': 0.15}

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{'loss': 1.4567, 'learning_rate': 0.0003828235111543797, 'epoch': 0.15}

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{'loss': 1.6926, 'learning_rate': 0.0003827854115840839, 'epoch': 0.15}

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{'loss': 1.4308, 'learning_rate': 0.00038274727170599387, 'epoch': 0.15}

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{'loss': 1.4724, 'learning_rate': 0.0003827090915285202, 'epoch': 0.15}

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{'loss': 1.5799, 'learning_rate': 0.00038267087106008235, 'epoch': 0.15}

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{'loss': 1.7164, 'learning_rate': 0.0003826326103091088, 'epoch': 0.15}

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{'loss': 1.4576, 'learning_rate': 0.00038259430928403663, 'epoch': 0.15}

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{'loss': 1.5785, 'learning_rate': 0.0003825559679933121, 'epoch': 0.15}

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{'loss': 1.5316, 'learning_rate': 0.0003825175864453902, 'epoch': 0.15}

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{'loss': 1.4658, 'learning_rate': 0.00038247916464873477, 'epoch': 0.15}

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{'loss': 1.6844, 'learning_rate': 0.0003824407026118186, 'epoch': 0.15}

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{'loss': 1.5687, 'learning_rate': 0.0003824022003431234, 'epoch': 0.15}

 15%|█▍        | 1000/6790 [34:41<3:41:56,  2.30s/it]/home/aiops/duanky/miniconda3/envs/lora/lib/python3.11/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
  warnings.warn(

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{'loss': 1.6936, 'learning_rate': 0.0003823636578511396, 'epoch': 0.15}

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{'loss': 1.5446, 'learning_rate': 0.00038232507514436657, 'epoch': 0.15}

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{'loss': 1.4437, 'learning_rate': 0.00038228645223131253, 'epoch': 0.15}

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{'loss': 1.7204, 'learning_rate': 0.00038224778912049475, 'epoch': 0.15}

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{'loss': 1.6179, 'learning_rate': 0.0003822090858204391, 'epoch': 0.15}

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{'loss': 1.617, 'learning_rate': 0.00038217034233968035, 'epoch': 0.15}

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{'loss': 1.6622, 'learning_rate': 0.00038213155868676234, 'epoch': 0.15}

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{'loss': 1.4657, 'learning_rate': 0.0003820927348702376, 'epoch': 0.15}

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{'loss': 1.3275, 'learning_rate': 0.0003820538708986675, 'epoch': 0.15}

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{'loss': 1.5408, 'learning_rate': 0.00038201496678062227, 'epoch': 0.15}

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{'loss': 1.721, 'learning_rate': 0.0003819760225246812, 'epoch': 0.15}

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{'loss': 1.5027, 'learning_rate': 0.0003819370381394322, 'epoch': 0.15}

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{'loss': 1.55, 'learning_rate': 0.00038189801363347194, 'epoch': 0.15}

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{'loss': 1.4115, 'learning_rate': 0.00038185894901540636, 'epoch': 0.15}

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{'loss': 1.6737, 'learning_rate': 0.00038181984429384977, 'epoch': 0.15}

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{'loss': 1.6877, 'learning_rate': 0.0003817806994774256, 'epoch': 0.15}

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{'loss': 1.6392, 'learning_rate': 0.00038174151457476616, 'epoch': 0.15}

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{'loss': 1.4671, 'learning_rate': 0.0003817022895945123, 'epoch': 0.15}

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{'loss': 1.4058, 'learning_rate': 0.00038166302454531405, 'epoch': 0.15}

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{'loss': 1.5628, 'learning_rate': 0.00038162371943583007, 'epoch': 0.15}

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{'loss': 1.6404, 'learning_rate': 0.00038158437427472793, 'epoch': 0.15}

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{'loss': 1.4427, 'learning_rate': 0.000381544989070684, 'epoch': 0.15}

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{'loss': 1.5979, 'learning_rate': 0.0003815055638323835, 'epoch': 0.15}

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{'loss': 1.4039, 'learning_rate': 0.0003814660985685205, 'epoch': 0.15}

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{'loss': 1.472, 'learning_rate': 0.0003814265932877978, 'epoch': 0.15}

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{'loss': 1.7841, 'learning_rate': 0.0003813870479989273, 'epoch': 0.15}

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{'loss': 1.6543, 'learning_rate': 0.0003813474627106292, 'epoch': 0.15}

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{'loss': 1.6881, 'learning_rate': 0.0003813078374316331, 'epoch': 0.15}

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{'loss': 1.5648, 'learning_rate': 0.00038126817217067695, 'epoch': 0.15}

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{'loss': 1.6453, 'learning_rate': 0.0003812284669365079, 'epoch': 0.15}

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{'loss': 1.8837, 'learning_rate': 0.00038118872173788167, 'epoch': 0.15}

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{'loss': 1.6244, 'learning_rate': 0.00038114893658356287, 'epoch': 0.15}

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{'loss': 1.3797, 'learning_rate': 0.00038110911148232486, 'epoch': 0.15}

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{'loss': 1.5755, 'learning_rate': 0.00038106924644294997, 'epoch': 0.15}

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{'loss': 1.4411, 'learning_rate': 0.0003810293414742291, 'epoch': 0.15}

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{'loss': 1.6374, 'learning_rate': 0.00038098939658496217, 'epoch': 0.15}

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{'loss': 1.486, 'learning_rate': 0.00038094941178395784, 'epoch': 0.15}

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{'loss': 1.5887, 'learning_rate': 0.0003809093870800334, 'epoch': 0.15}

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{'loss': 1.5433, 'learning_rate': 0.00038086932248201526, 'epoch': 0.15}

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{'loss': 1.4956, 'learning_rate': 0.00038082921799873843, 'epoch': 0.15}

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{'loss': 1.7396, 'learning_rate': 0.0003807890736390466, 'epoch': 0.15}

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{'loss': 1.7505, 'learning_rate': 0.00038074888941179257, 'epoch': 0.15}

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{'loss': 1.6796, 'learning_rate': 0.00038070866532583766, 'epoch': 0.15}

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{'loss': 1.456, 'learning_rate': 0.0003806684013900521, 'epoch': 0.15}

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{'loss': 1.3975, 'learning_rate': 0.00038062809761331477, 'epoch': 0.15}

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{'loss': 1.6633, 'learning_rate': 0.0003805877540045137, 'epoch': 0.15}

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{'loss': 1.6674, 'learning_rate': 0.00038054737057254527, 'epoch': 0.15}

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{'loss': 1.4519, 'learning_rate': 0.00038050694732631485, 'epoch': 0.15}

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{'loss': 1.6183, 'learning_rate': 0.0003804664842747365, 'epoch': 0.15}

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{'loss': 1.6019, 'learning_rate': 0.0003804259814267333, 'epoch': 0.15}

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{'loss': 1.6785, 'learning_rate': 0.0003803854387912368, 'epoch': 0.15}

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{'loss': 1.6016, 'learning_rate': 0.0003803448563771875, 'epoch': 0.15}

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{'loss': 1.5112, 'learning_rate': 0.00038030423419353456, 'epoch': 0.16}

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{'loss': 1.5265, 'learning_rate': 0.0003802635722492361, 'epoch': 0.16}

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{'loss': 1.3899, 'learning_rate': 0.0003802228705532587, 'epoch': 0.16}

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{'loss': 1.5856, 'learning_rate': 0.000380182129114578, 'epoch': 0.16}

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{'loss': 1.655, 'learning_rate': 0.00038014134794217834, 'epoch': 0.16}

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{'loss': 1.5073, 'learning_rate': 0.0003801005270450527, 'epoch': 0.16}

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{'loss': 1.3617, 'learning_rate': 0.00038005966643220285, 'epoch': 0.16}

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{'loss': 1.4509, 'learning_rate': 0.0003800187661126395, 'epoch': 0.16}

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{'loss': 1.4197, 'learning_rate': 0.00037997782609538186, 'epoch': 0.16}

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{'loss': 1.46, 'learning_rate': 0.0003799368463894581, 'epoch': 0.16}

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{'loss': 1.4538, 'learning_rate': 0.0003798958270039049, 'epoch': 0.16}

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{'loss': 1.6198, 'learning_rate': 0.00037985476794776804, 'epoch': 0.16}

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{'loss': 1.4197, 'learning_rate': 0.00037981366923010173, 'epoch': 0.16}

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{'loss': 1.6124, 'learning_rate': 0.00037977253085996906, 'epoch': 0.16}

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{'loss': 1.4463, 'learning_rate': 0.00037973135284644197, 'epoch': 0.16}

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{'loss': 1.6527, 'learning_rate': 0.00037969013519860087, 'epoch': 0.16}

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{'loss': 1.5935, 'learning_rate': 0.0003796488779255351, 'epoch': 0.16}

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{'loss': 1.5764, 'learning_rate': 0.00037960758103634275, 'epoch': 0.16}

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{'loss': 1.4519, 'learning_rate': 0.0003795662445401306, 'epoch': 0.16}

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{'loss': 1.4869, 'learning_rate': 0.00037952486844601416, 'epoch': 0.16}

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{'loss': 1.5615, 'learning_rate': 0.0003794834527631176, 'epoch': 0.16}

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{'loss': 1.6667, 'learning_rate': 0.00037944199750057406, 'epoch': 0.16}

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{'loss': 1.5409, 'learning_rate': 0.00037940050266752507, 'epoch': 0.16}

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{'loss': 1.5145, 'learning_rate': 0.00037935896827312113, 'epoch': 0.16}

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{'loss': 1.6259, 'learning_rate': 0.0003793173943265214, 'epoch': 0.16}

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{'loss': 1.502, 'learning_rate': 0.0003792757808368938, 'epoch': 0.16}

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{'loss': 1.4892, 'learning_rate': 0.00037923412781341485, 'epoch': 0.16}

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{'loss': 1.6301, 'learning_rate': 0.0003791924352652699, 'epoch': 0.16}

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{'loss': 1.7832, 'learning_rate': 0.0003791507032016529, 'epoch': 0.16}

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{'loss': 1.5723, 'learning_rate': 0.00037910893163176676, 'epoch': 0.16}

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{'loss': 1.5799, 'learning_rate': 0.0003790671205648228, 'epoch': 0.16}

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{'loss': 1.54, 'learning_rate': 0.0003790252700100413, 'epoch': 0.16}

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{'loss': 1.6316, 'learning_rate': 0.000378983379976651, 'epoch': 0.16}

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{'loss': 1.6247, 'learning_rate': 0.0003789414504738896, 'epoch': 0.16}

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{'loss': 1.623, 'learning_rate': 0.00037889948151100325, 'epoch': 0.16}

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{'loss': 1.69, 'learning_rate': 0.0003788574730972471, 'epoch': 0.16}

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{'loss': 1.4626, 'learning_rate': 0.00037881542524188474, 'epoch': 0.16}

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{'loss': 1.487, 'learning_rate': 0.0003787733379541885, 'epoch': 0.16}

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{'loss': 1.4927, 'learning_rate': 0.0003787312112434395, 'epoch': 0.16}

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{'loss': 1.6588, 'learning_rate': 0.00037868904511892767, 'epoch': 0.16}

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{'loss': 1.6543, 'learning_rate': 0.0003786468395899513, 'epoch': 0.16}

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{'loss': 1.387, 'learning_rate': 0.0003786045946658175, 'epoch': 0.16}

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{'loss': 1.5381, 'learning_rate': 0.0003785623103558422, 'epoch': 0.16}

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{'loss': 1.4175, 'learning_rate': 0.00037851998666934997, 'epoch': 0.16}

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{'loss': 1.5178, 'learning_rate': 0.00037847762361567397, 'epoch': 0.16}

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{'loss': 1.3961, 'learning_rate': 0.00037843522120415606, 'epoch': 0.16}

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{'loss': 1.7324, 'learning_rate': 0.00037839277944414683, 'epoch': 0.16}

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{'loss': 1.7115, 'learning_rate': 0.0003783502983450055, 'epoch': 0.16}

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{'loss': 1.5103, 'learning_rate': 0.00037830777791610006, 'epoch': 0.16}

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{'loss': 1.3496, 'learning_rate': 0.00037826521816680713, 'epoch': 0.16}

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{'loss': 1.4635, 'learning_rate': 0.0003782226191065118, 'epoch': 0.16}

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{'loss': 1.5867, 'learning_rate': 0.0003781799807446082, 'epoch': 0.16}

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{'loss': 1.495, 'learning_rate': 0.00037813730309049884, 'epoch': 0.16}

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{'loss': 1.4524, 'learning_rate': 0.00037809458615359494, 'epoch': 0.16}

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{'loss': 1.6328, 'learning_rate': 0.00037805182994331656, 'epoch': 0.16}

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{'loss': 1.5589, 'learning_rate': 0.00037800903446909214, 'epoch': 0.16}

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{'loss': 1.6192, 'learning_rate': 0.000377966199740359, 'epoch': 0.16}

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{'loss': 1.4888, 'learning_rate': 0.0003779233257665631, 'epoch': 0.16}

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{'loss': 1.7047, 'learning_rate': 0.0003778804125571589, 'epoch': 0.16}

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{'loss': 1.4217, 'learning_rate': 0.00037783746012160966, 'epoch': 0.16}

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{'loss': 1.5148, 'learning_rate': 0.00037779446846938723, 'epoch': 0.16}

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{'loss': 1.5127, 'learning_rate': 0.00037775143760997214, 'epoch': 0.16}

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{'loss': 1.5641, 'learning_rate': 0.0003777083675528535, 'epoch': 0.16}

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{'loss': 1.5974, 'learning_rate': 0.0003776652583075292, 'epoch': 0.16}

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{'loss': 1.5172, 'learning_rate': 0.00037762210988350554, 'epoch': 0.16}

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{'loss': 1.7894, 'learning_rate': 0.0003775789222902977, 'epoch': 0.16}

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{'loss': 1.5603, 'learning_rate': 0.0003775356955374294, 'epoch': 0.16}

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{'loss': 1.5561, 'learning_rate': 0.0003774924296344329, 'epoch': 0.16}

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{'loss': 1.5745, 'learning_rate': 0.00037744912459084927, 'epoch': 0.17}

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{'loss': 1.5125, 'learning_rate': 0.0003774057804162281, 'epoch': 0.17}

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{'loss': 1.5103, 'learning_rate': 0.00037736239712012764, 'epoch': 0.17}

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{'loss': 1.3298, 'learning_rate': 0.00037731897471211486, 'epoch': 0.17}

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{'loss': 1.6215, 'learning_rate': 0.00037727551320176515, 'epoch': 0.17}

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{'loss': 1.2994, 'learning_rate': 0.00037723201259866253, 'epoch': 0.17}

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{'loss': 1.6481, 'learning_rate': 0.0003771012763288087, 'epoch': 0.17}

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{'loss': 1.3731, 'learning_rate': 0.00037701392352790556, 'epoch': 0.17}

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{'loss': 1.2586, 'learning_rate': 0.00037697018857003547, 'epoch': 0.17}

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{'loss': 1.5202, 'learning_rate': 0.0003769264145867426, 'epoch': 0.17}

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{'loss': 1.9012, 'learning_rate': 0.0003768826015876802, 'epoch': 0.17}

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{'loss': 1.5443, 'learning_rate': 0.00037679485858090154, 'epoch': 0.17}

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{'loss': 1.5964, 'learning_rate': 0.00037670695962709565, 'epoch': 0.17}

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{'loss': 1.559, 'learning_rate': 0.00037661890480379634, 'epoch': 0.17}

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{'loss': 1.5645, 'learning_rate': 0.00037657481896535356, 'epoch': 0.17}

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{'loss': 1.4451, 'learning_rate': 0.00037653069418867494, 'epoch': 0.17}

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{'loss': 1.5922, 'learning_rate': 0.00037648653048349083, 'epoch': 0.17}

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{'loss': 1.6469, 'learning_rate': 0.00037644232785954024, 'epoch': 0.17}

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{'loss': 1.4667, 'learning_rate': 0.00037639808632657063, 'epoch': 0.17}

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{'loss': 1.6246, 'learning_rate': 0.00037635380589433825, 'epoch': 0.17}

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{'loss': 1.4398, 'learning_rate': 0.00037630948657260774, 'epoch': 0.17}

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{'loss': 1.6503, 'learning_rate': 0.00037626512837115233, 'epoch': 0.17}

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{'loss': 1.7182, 'learning_rate': 0.000376220731299754, 'epoch': 0.17}

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{'loss': 1.6444, 'learning_rate': 0.00037617629536820313, 'epoch': 0.17}

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{'loss': 1.4967, 'learning_rate': 0.00037613182058629865, 'epoch': 0.17}

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{'loss': 1.5361, 'learning_rate': 0.00037608730696384827, 'epoch': 0.17}

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{'loss': 1.512, 'learning_rate': 0.000376042754510668, 'epoch': 0.17}

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{'loss': 1.4509, 'learning_rate': 0.0003759981632365826, 'epoch': 0.17}

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{'loss': 1.5315, 'learning_rate': 0.0003759535331514254, 'epoch': 0.17}

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{'loss': 1.4581, 'learning_rate': 0.00037590886426503806, 'epoch': 0.17}

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{'loss': 1.5873, 'learning_rate': 0.000375864156587271, 'epoch': 0.17}

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{'loss': 1.5601, 'learning_rate': 0.0003758194101279831, 'epoch': 0.17}

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{'loss': 1.3178, 'learning_rate': 0.00037577462489704204, 'epoch': 0.17}

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{'loss': 1.4805, 'learning_rate': 0.00037568493815971256, 'epoch': 0.17}

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{'loss': 1.6381, 'learning_rate': 0.00037564003667310195, 'epoch': 0.17}

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{'loss': 1.5416, 'learning_rate': 0.0003755050998603319, 'epoch': 0.17}

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{'loss': 1.6204, 'learning_rate': 0.000375460043504825, 'epoch': 0.17}

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{'loss': 1.5336, 'learning_rate': 0.00037541494845691226, 'epoch': 0.17}

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{'loss': 1.3669, 'learning_rate': 0.00037395153723538153, 'epoch': 0.18}

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{'loss': 1.595, 'learning_rate': 0.000373905170967798, 'epoch': 0.18}

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{'loss': 1.5423, 'learning_rate': 0.00037381232339428667, 'epoch': 0.18}

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{'loss': 1.524, 'learning_rate': 0.00037376584210883375, 'epoch': 0.18}

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{'loss': 1.6132, 'learning_rate': 0.0003737193225045798, 'epoch': 0.18}

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{'loss': 1.7726, 'learning_rate': 0.00037367276459178336, 'epoch': 0.18}

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{'loss': 1.4751, 'learning_rate': 0.0003736261683807114, 'epoch': 0.18}

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{'loss': 1.544, 'learning_rate': 0.0003735795338816393, 'epoch': 0.18}

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{'loss': 1.7398, 'learning_rate': 0.00037353286110485077, 'epoch': 0.18}

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{'loss': 1.6588, 'learning_rate': 0.00037348615006063825, 'epoch': 0.18}

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{'loss': 1.7667, 'learning_rate': 0.00037343940075930236, 'epoch': 0.18}

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{'loss': 1.7481, 'learning_rate': 0.00037339261321115227, 'epoch': 0.18}

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{'loss': 1.766, 'learning_rate': 0.00037334578742650553, 'epoch': 0.18}

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{'loss': 1.4553, 'learning_rate': 0.00037329892341568814, 'epoch': 0.18}

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{'loss': 1.729, 'learning_rate': 0.00037325202118903465, 'epoch': 0.18}

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{'loss': 1.6388, 'learning_rate': 0.00037320508075688776, 'epoch': 0.18}

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{'loss': 1.5526, 'learning_rate': 0.00037315810212959884, 'epoch': 0.18}

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{'loss': 1.5791, 'learning_rate': 0.00037311108531752765, 'epoch': 0.18}

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{'loss': 1.5116, 'learning_rate': 0.0003730640303310423, 'epoch': 0.18}

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{'loss': 1.4654, 'learning_rate': 0.00037301693718051933, 'epoch': 0.18}

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{'loss': 1.4998, 'learning_rate': 0.0003729698058763437, 'epoch': 0.18}

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{'loss': 1.4402, 'learning_rate': 0.0003729226364289088, 'epoch': 0.18}

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{'loss': 1.5967, 'learning_rate': 0.00037287542884861645, 'epoch': 0.18}

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{'loss': 1.421, 'learning_rate': 0.0003728281831458768, 'epoch': 0.18}

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{'loss': 1.5213, 'learning_rate': 0.00037278089933110846, 'epoch': 0.18}

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{'loss': 1.4941, 'learning_rate': 0.00037273357741473857, 'epoch': 0.18}

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{'loss': 1.3927, 'learning_rate': 0.00037268621740720243, 'epoch': 0.18}

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{'loss': 1.5854, 'learning_rate': 0.0003726388193189439, 'epoch': 0.18}

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{'loss': 1.5014, 'learning_rate': 0.00037259138316041515, 'epoch': 0.18}

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{'loss': 1.5268, 'learning_rate': 0.0003725439089420768, 'epoch': 0.18}

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{'loss': 1.6163, 'learning_rate': 0.0003724963966743979, 'epoch': 0.18}

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{'loss': 1.7086, 'learning_rate': 0.0003724488463678558, 'epoch': 0.18}

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{'loss': 1.4929, 'learning_rate': 0.00037240125803293634, 'epoch': 0.18}

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{'loss': 1.8659, 'learning_rate': 0.0003723536316801336, 'epoch': 0.18}

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{'loss': 1.6829, 'learning_rate': 0.00037230596731995024, 'epoch': 0.18}

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{'loss': 1.556, 'learning_rate': 0.00037225826496289704, 'epoch': 0.18}

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{'loss': 1.6121, 'learning_rate': 0.0003722105246194935, 'epoch': 0.18}

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{'loss': 1.388, 'learning_rate': 0.0003721627463002672, 'epoch': 0.18}

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{'loss': 1.4163, 'learning_rate': 0.00037211493001575413, 'epoch': 0.18}

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{'loss': 1.5268, 'learning_rate': 0.00037206707577649886, 'epoch': 0.18}

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{'loss': 1.6322, 'learning_rate': 0.0003720191835930542, 'epoch': 0.18}

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{'loss': 1.6626, 'learning_rate': 0.0003719712534759812, 'epoch': 0.18}

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{'loss': 1.6476, 'learning_rate': 0.0003719232854358495, 'epoch': 0.18}

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{'loss': 1.6349, 'learning_rate': 0.00037187527948323693, 'epoch': 0.18}

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{'loss': 1.5598, 'learning_rate': 0.00037182723562872983, 'epoch': 0.18}

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{'loss': 1.72, 'learning_rate': 0.00037177915388292277, 'epoch': 0.18}

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{'loss': 1.4893, 'learning_rate': 0.00037173103425641876, 'epoch': 0.18}

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{'loss': 1.7027, 'learning_rate': 0.00037168287675982904, 'epoch': 0.18}

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{'loss': 1.5054, 'learning_rate': 0.00037163468140377333, 'epoch': 0.18}

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{'loss': 1.6118, 'learning_rate': 0.00037158644819887973, 'epoch': 0.18}

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{'loss': 1.4623, 'learning_rate': 0.0003715381771557846, 'epoch': 0.18}

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{'loss': 1.3675, 'learning_rate': 0.00037148986828513256, 'epoch': 0.18}

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{'loss': 1.4767, 'learning_rate': 0.0003714415215975767, 'epoch': 0.18}

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{'loss': 1.3789, 'learning_rate': 0.0003713931371037785, 'epoch': 0.18}

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{'loss': 1.516, 'learning_rate': 0.00037134471481440766, 'epoch': 0.18}

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{'loss': 1.5761, 'learning_rate': 0.00037129625474014225, 'epoch': 0.18}

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{'loss': 1.7002, 'learning_rate': 0.0003712477568916686, 'epoch': 0.18}

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{'loss': 1.6042, 'learning_rate': 0.00037119922127968154, 'epoch': 0.19}

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{'loss': 1.7997, 'learning_rate': 0.0003711506479148841, 'epoch': 0.19}

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{'loss': 1.706, 'learning_rate': 0.00037110203680798765, 'epoch': 0.19}

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{'loss': 1.6641, 'learning_rate': 0.00037105338796971195, 'epoch': 0.19}

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{'loss': 1.8492, 'learning_rate': 0.00037100470141078495, 'epoch': 0.19}

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{'loss': 1.6639, 'learning_rate': 0.00037095597714194306, 'epoch': 0.19}

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{'loss': 1.4025, 'learning_rate': 0.00037090721517393094, 'epoch': 0.19}

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{'loss': 1.5787, 'learning_rate': 0.00037085841551750154, 'epoch': 0.19}

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{'loss': 1.7868, 'learning_rate': 0.0003708095781834162, 'epoch': 0.19}

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{'loss': 1.6314, 'learning_rate': 0.0003707607031824444, 'epoch': 0.19}

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{'loss': 1.4819, 'learning_rate': 0.00037071179052536416, 'epoch': 0.19}

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{'loss': 1.7012, 'learning_rate': 0.00037066284022296164, 'epoch': 0.19}

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{'loss': 1.7116, 'learning_rate': 0.00037061385228603135, 'epoch': 0.19}

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{'loss': 1.6364, 'learning_rate': 0.0003705648267253762, 'epoch': 0.19}

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{'loss': 1.5436, 'learning_rate': 0.00037051576355180704, 'epoch': 0.19}

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{'loss': 1.6093, 'learning_rate': 0.00037046666277614355, 'epoch': 0.19}

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{'loss': 1.5463, 'learning_rate': 0.00037041752440921327, 'epoch': 0.19}

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{'loss': 1.3867, 'learning_rate': 0.0003703683484618522, 'epoch': 0.19}

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{'loss': 1.6792, 'learning_rate': 0.0003703191349449046, 'epoch': 0.19}

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{'loss': 1.4267, 'learning_rate': 0.00037026988386922304, 'epoch': 0.19}

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{'loss': 1.408, 'learning_rate': 0.0003702205952456684, 'epoch': 0.19}

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{'loss': 1.3557, 'learning_rate': 0.0003701712690851097, 'epoch': 0.19}

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{'loss': 1.548, 'learning_rate': 0.0003701219053984244, 'epoch': 0.19}

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{'loss': 1.3556, 'learning_rate': 0.00037007250419649813, 'epoch': 0.19}

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{'loss': 1.6956, 'learning_rate': 0.00037002306549022493, 'epoch': 0.19}

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{'loss': 1.3649, 'learning_rate': 0.00036997358929050686, 'epoch': 0.19}

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{'loss': 1.3267, 'learning_rate': 0.0003699240756082545, 'epoch': 0.19}

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{'loss': 1.5276, 'learning_rate': 0.0003698745244543866, 'epoch': 0.19}

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{'loss': 1.5458, 'learning_rate': 0.00036982493583983004, 'epoch': 0.19}

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{'loss': 1.8774, 'learning_rate': 0.00036977530977552026, 'epoch': 0.19}

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{'loss': 1.5676, 'learning_rate': 0.0003697256462724007, 'epoch': 0.19}

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{'loss': 1.5357, 'learning_rate': 0.0003696759453414232, 'epoch': 0.19}

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{'loss': 1.434, 'learning_rate': 0.0003696262069935477, 'epoch': 0.19}

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{'loss': 1.2697, 'learning_rate': 0.0003695764312397426, 'epoch': 0.19}

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{'loss': 1.4826, 'learning_rate': 0.00036952661809098433, 'epoch': 0.19}

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{'loss': 1.4385, 'learning_rate': 0.0003694767675582577, 'epoch': 0.19}

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{'loss': 1.5539, 'learning_rate': 0.0003694268796525559, 'epoch': 0.19}

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{'loss': 1.4703, 'learning_rate': 0.00036937695438487986, 'epoch': 0.19}

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{'loss': 1.674, 'learning_rate': 0.0003693269917662394, 'epoch': 0.19}

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{'loss': 1.3136, 'learning_rate': 0.0003692769918076522, 'epoch': 0.19}

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{'loss': 1.4451, 'learning_rate': 0.0003692269545201441, 'epoch': 0.19}

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{'loss': 1.6257, 'learning_rate': 0.00036917687991474944, 'epoch': 0.19}

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{'loss': 1.6366, 'learning_rate': 0.0003691267680025106, 'epoch': 0.19}

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{'loss': 1.6149, 'learning_rate': 0.00036907661879447825, 'epoch': 0.19}

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{'loss': 1.592, 'learning_rate': 0.00036902643230171136, 'epoch': 0.19}

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{'loss': 1.7654, 'learning_rate': 0.00036897620853527696, 'epoch': 0.19}

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{'loss': 1.4664, 'learning_rate': 0.0003689259475062503, 'epoch': 0.19}

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{'loss': 1.6115, 'learning_rate': 0.0003688756492257152, 'epoch': 0.19}

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{'loss': 1.4684, 'learning_rate': 0.00036882531370476316, 'epoch': 0.19}

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{'loss': 1.4256, 'learning_rate': 0.00036877494095449427, 'epoch': 0.19}

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{'loss': 1.7153, 'learning_rate': 0.0003687245309860167, 'epoch': 0.19}

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{'loss': 1.5289, 'learning_rate': 0.0003686740838104469, 'epoch': 0.19}

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{'loss': 1.3527, 'learning_rate': 0.0003686235994389093, 'epoch': 0.19}

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{'loss': 1.4315, 'learning_rate': 0.0003685730778825369, 'epoch': 0.19}

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{'loss': 1.6948, 'learning_rate': 0.0003685225191524706, 'epoch': 0.19}

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{'loss': 1.5163, 'learning_rate': 0.0003684719232598596, 'epoch': 0.19}

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{'loss': 1.4228, 'learning_rate': 0.00036842129021586134, 'epoch': 0.19}

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{'loss': 1.6637, 'learning_rate': 0.0003683706200316414, 'epoch': 0.19}

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{'loss': 1.5528, 'learning_rate': 0.0003683199127183735, 'epoch': 0.19}

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{'loss': 1.4112, 'learning_rate': 0.0003682691682872396, 'epoch': 0.19}

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{'loss': 1.4752, 'learning_rate': 0.0003682183867494299, 'epoch': 0.19}

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{'loss': 1.3504, 'learning_rate': 0.00036816756811614275, 'epoch': 0.19}

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{'loss': 1.7084, 'learning_rate': 0.0003681167123985846, 'epoch': 0.19}

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{'loss': 1.3865, 'learning_rate': 0.00036806581960797025, 'epoch': 0.19}

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{'loss': 1.5428, 'learning_rate': 0.0003680148897555224, 'epoch': 0.19}

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{'loss': 1.6284, 'learning_rate': 0.0003679639228524722, 'epoch': 0.19}

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{'loss': 1.7597, 'learning_rate': 0.00036791291891005885, 'epoch': 0.19}

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{'loss': 1.7886, 'learning_rate': 0.0003678618779395297, 'epoch': 0.19}

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{'loss': 1.5232, 'learning_rate': 0.00036781079995214027, 'epoch': 0.2}

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{'loss': 1.6027, 'learning_rate': 0.00036770853297184375, 'epoch': 0.2}

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{'loss': 1.5724, 'learning_rate': 0.00036765734400148845, 'epoch': 0.2}

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{'loss': 1.4172, 'learning_rate': 0.00036760611805937676, 'epoch': 0.2}

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{'loss': 1.5565, 'learning_rate': 0.0003675548551568049, 'epoch': 0.2}

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{'loss': 1.3935, 'learning_rate': 0.00036750355530507735, 'epoch': 0.2}

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{'loss': 1.6847, 'learning_rate': 0.0003674522185155068, 'epoch': 0.2}

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{'loss': 1.5088, 'learning_rate': 0.000367400844799414, 'epoch': 0.2}

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{'loss': 1.3365, 'learning_rate': 0.0003673494341681279, 'epoch': 0.2}

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{'loss': 1.6474, 'learning_rate': 0.0003672979866329854, 'epoch': 0.2}

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{'loss': 1.5749, 'learning_rate': 0.00036724650220533195, 'epoch': 0.2}

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{'loss': 1.4968, 'learning_rate': 0.00036719498089652074, 'epoch': 0.2}

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{'loss': 1.6377, 'learning_rate': 0.00036714342271791325, 'epoch': 0.2}

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{'loss': 1.5236, 'learning_rate': 0.00036709182768087913, 'epoch': 0.2}

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{'loss': 1.6009, 'learning_rate': 0.000367040195796796, 'epoch': 0.2}

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{'loss': 1.5603, 'learning_rate': 0.00036698852707704976, 'epoch': 0.2}

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{'loss': 1.5035, 'learning_rate': 0.0003669368215330344, 'epoch': 0.2}

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{'loss': 1.4445, 'learning_rate': 0.000366885079176152, 'epoch': 0.2}

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{'loss': 1.4949, 'learning_rate': 0.00036683330001781284, 'epoch': 0.2}

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{'loss': 1.4307, 'learning_rate': 0.0003667296313424454, 'epoch': 0.2}

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{'loss': 1.3752, 'learning_rate': 0.00036667774184827816, 'epoch': 0.2}

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{'loss': 1.5014, 'learning_rate': 0.00036646981642880885, 'epoch': 0.2}

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{'loss': 1.5917, 'learning_rate': 0.000366417743270556, 'epoch': 0.2}

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{'loss': 1.5419, 'learning_rate': 0.00036636563341390315, 'epoch': 0.2}

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{'loss': 1.4968, 'learning_rate': 0.000333476775373299, 'epoch': 0.28}

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{'loss': 1.5314, 'learning_rate': 0.0003334068178291443, 'epoch': 0.28}

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{'loss': 1.5624, 'learning_rate': 0.00033333683086615083, 'epoch': 0.28}

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{'loss': 1.4159, 'learning_rate': 0.00033326681449975196, 'epoch': 0.28}

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{'loss': 1.5174, 'learning_rate': 0.00033319676874538784, 'epoch': 0.28}

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{'loss': 1.4717, 'learning_rate': 0.0003331266936185048, 'epoch': 0.28}

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{'loss': 1.4379, 'learning_rate': 0.00033305658913455595, 'epoch': 0.28}

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{'loss': 1.465, 'learning_rate': 0.0003329864553090006, 'epoch': 0.28}

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{'loss': 1.2932, 'learning_rate': 0.00033291629215730464, 'epoch': 0.28}

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{'loss': 1.5493, 'learning_rate': 0.0003328460996949405, 'epoch': 0.28}

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{'loss': 1.4994, 'learning_rate': 0.0003327758779373869, 'epoch': 0.28}

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{'loss': 1.5171, 'learning_rate': 0.00033270562690012923, 'epoch': 0.28}

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{'loss': 1.4099, 'learning_rate': 0.0003326353465986592, 'epoch': 0.28}

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{'loss': 1.6249, 'learning_rate': 0.0003325650370484749, 'epoch': 0.28}

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{'loss': 1.6828, 'learning_rate': 0.0003324946982650812, 'epoch': 0.28}

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{'loss': 1.6698, 'learning_rate': 0.000332424330263989, 'epoch': 0.28}

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{'loss': 1.5492, 'learning_rate': 0.0003323539330607159, 'epoch': 0.28}

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{'loss': 1.451, 'learning_rate': 0.0003322835066707859, 'epoch': 0.28}

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{'loss': 1.4611, 'learning_rate': 0.00033221305110972934, 'epoch': 0.28}

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{'loss': 1.4244, 'learning_rate': 0.0003321425663930831, 'epoch': 0.28}

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{'loss': 1.6112, 'learning_rate': 0.0003320720525363905, 'epoch': 0.28}

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{'loss': 1.622, 'learning_rate': 0.00033200150955520116, 'epoch': 0.28}

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{'loss': 1.5114, 'learning_rate': 0.0003319309374650712, 'epoch': 0.28}

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{'loss': 1.5238, 'learning_rate': 0.0003318603362815632, 'epoch': 0.28}

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{'loss': 1.6671, 'learning_rate': 0.0003317897060202462, 'epoch': 0.28}

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{'loss': 1.518, 'learning_rate': 0.0003317190466966954, 'epoch': 0.28}

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{'loss': 1.4391, 'learning_rate': 0.0003316483583264927, 'epoch': 0.28}

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{'loss': 1.5168, 'learning_rate': 0.00033157764092522625, 'epoch': 0.28}

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{'loss': 1.5339, 'learning_rate': 0.0003315068945084906, 'epoch': 0.28}

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{'loss': 1.5525, 'learning_rate': 0.00033143611909188675, 'epoch': 0.28}

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{'loss': 1.3056, 'learning_rate': 0.00033136531469102207, 'epoch': 0.28}

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{'loss': 1.5997, 'learning_rate': 0.0003312944813215103, 'epoch': 0.28}

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{'loss': 1.7574, 'learning_rate': 0.0003312236189989717, 'epoch': 0.28}

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{'loss': 1.5668, 'learning_rate': 0.00033115272773903275, 'epoch': 0.28}

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{'loss': 1.473, 'learning_rate': 0.00033108180755732635, 'epoch': 0.28}

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{'loss': 1.6924, 'learning_rate': 0.0003310108584694919, 'epoch': 0.28}

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{'loss': 1.5389, 'learning_rate': 0.00033093988049117485, 'epoch': 0.28}

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{'loss': 1.4801, 'learning_rate': 0.00033086887363802754, 'epoch': 0.28}

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{'loss': 1.7996, 'learning_rate': 0.0003307978379257081, 'epoch': 0.28}

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{'loss': 1.5307, 'learning_rate': 0.0003307267733698816, 'epoch': 0.28}

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{'loss': 1.326, 'learning_rate': 0.000330655679986219, 'epoch': 0.28}

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{'loss': 1.1977, 'learning_rate': 0.0003305845577903977, 'epoch': 0.28}

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{'loss': 1.6035, 'learning_rate': 0.00033051340679810177, 'epoch': 0.28}

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{'loss': 1.4315, 'learning_rate': 0.0003304422270250213, 'epoch': 0.28}

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{'loss': 1.539, 'learning_rate': 0.0003303710184868528, 'epoch': 0.28}

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{'loss': 1.5311, 'learning_rate': 0.00033029978119929925, 'epoch': 0.28}

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{'loss': 1.3792, 'learning_rate': 0.00033022851517806987, 'epoch': 0.28}

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{'loss': 1.4335, 'learning_rate': 0.0003301572204388801, 'epoch': 0.29}

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{'loss': 1.4464, 'learning_rate': 0.00033008589699745205, 'epoch': 0.29}

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{'loss': 1.5223, 'learning_rate': 0.0003300145448695137, 'epoch': 0.29}

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{'loss': 1.2805, 'learning_rate': 0.00032994316407079983, 'epoch': 0.29}

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{'loss': 1.4169, 'learning_rate': 0.00032987175461705117, 'epoch': 0.29}

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{'loss': 1.4812, 'learning_rate': 0.000329800316524015, 'epoch': 0.29}

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{'loss': 1.3449, 'learning_rate': 0.00032972884980744474, 'epoch': 0.29}

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{'loss': 1.7321, 'learning_rate': 0.0003296573544831002, 'epoch': 0.29}

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{'loss': 1.6111, 'learning_rate': 0.0003295858305667477, 'epoch': 0.29}

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{'loss': 1.4845, 'learning_rate': 0.00032951427807415955, 'epoch': 0.29}

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{'loss': 1.6439, 'learning_rate': 0.00032944269702111443, 'epoch': 0.29}

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{'loss': 1.4245, 'learning_rate': 0.00032937108742339753, 'epoch': 0.29}

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{'loss': 1.5163, 'learning_rate': 0.00032929944929680003, 'epoch': 0.29}

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{'loss': 1.5479, 'learning_rate': 0.0003292277826571196, 'epoch': 0.29}

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{'loss': 1.7732, 'learning_rate': 0.00032915608752016016, 'epoch': 0.29}

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{'loss': 1.573, 'learning_rate': 0.00032908436390173193, 'epoch': 0.29}

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{'loss': 1.6828, 'learning_rate': 0.00032901261181765134, 'epoch': 0.29}

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{'loss': 1.6977, 'learning_rate': 0.0003289408312837412, 'epoch': 0.29}

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{'loss': 1.4149, 'learning_rate': 0.00032886902231583047, 'epoch': 0.29}

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{'loss': 1.7386, 'learning_rate': 0.0003287971849297545, 'epoch': 0.29}

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{'loss': 1.2628, 'learning_rate': 0.0003287253191413548, 'epoch': 0.29}

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{'loss': 1.6759, 'learning_rate': 0.0003286534249664792, 'epoch': 0.29}

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{'loss': 1.3769, 'learning_rate': 0.00032858150242098187, 'epoch': 0.29}

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{'loss': 1.3409, 'learning_rate': 0.000328509551520723, 'epoch': 0.29}

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{'loss': 1.6713, 'learning_rate': 0.00032843757228156936, 'epoch': 0.29}

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{'loss': 1.5391, 'learning_rate': 0.0003283655647193937, 'epoch': 0.29}

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{'loss': 1.3437, 'learning_rate': 0.00032829352885007507, 'epoch': 0.29}

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{'loss': 1.6157, 'learning_rate': 0.0003282214646894989, 'epoch': 0.29}

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 29%|██▉       | 1964/6790 [1:08:06<2:43:22,  2.03s/it]
                                                       
{'loss': 1.6936, 'learning_rate': 0.0003281493722535567, 'epoch': 0.29}

 29%|██▉       | 1964/6790 [1:08:06<2:43:22,  2.03s/it]
 29%|██▉       | 1965/6790 [1:08:08<2:41:41,  2.01s/it]
                                                       
{'loss': 1.7196, 'learning_rate': 0.0003280772515581463, 'epoch': 0.29}

 29%|██▉       | 1965/6790 [1:08:08<2:41:41,  2.01s/it]
 29%|██▉       | 1966/6790 [1:08:10<2:38:34,  1.97s/it]
                                                       
{'loss': 1.6345, 'learning_rate': 0.00032800510261917176, 'epoch': 0.29}

 29%|██▉       | 1966/6790 [1:08:10<2:38:34,  1.97s/it]
 29%|██▉       | 1967/6790 [1:08:11<2:33:41,  1.91s/it]
                                                       
{'loss': 1.6095, 'learning_rate': 0.0003279329254525433, 'epoch': 0.29}

 29%|██▉       | 1967/6790 [1:08:11<2:33:41,  1.91s/it]
 29%|██▉       | 1968/6790 [1:08:13<2:35:52,  1.94s/it]
                                                       
{'loss': 1.4927, 'learning_rate': 0.00032786072007417734, 'epoch': 0.29}

 29%|██▉       | 1968/6790 [1:08:14<2:35:52,  1.94s/it]
 29%|██▉       | 1969/6790 [1:08:15<2:34:19,  1.92s/it]
                                                       
{'loss': 1.4369, 'learning_rate': 0.0003277884864999968, 'epoch': 0.29}

 29%|██▉       | 1969/6790 [1:08:15<2:34:19,  1.92s/it]
 29%|██▉       | 1970/6790 [1:08:17<2:37:46,  1.96s/it]
                                                       
{'loss': 1.4614, 'learning_rate': 0.0003277162247459304, 'epoch': 0.29}

 29%|██▉       | 1970/6790 [1:08:17<2:37:46,  1.96s/it]
 29%|██▉       | 1971/6790 [1:08:19<2:38:28,  1.97s/it]
                                                       
{'loss': 1.5591, 'learning_rate': 0.0003276439348279134, 'epoch': 0.29}

 29%|██▉       | 1971/6790 [1:08:19<2:38:28,  1.97s/it]
 29%|██▉       | 1972/6790 [1:08:22<2:45:29,  2.06s/it]
                                                       
{'loss': 1.5774, 'learning_rate': 0.0003275716167618871, 'epoch': 0.29}

 29%|██▉       | 1972/6790 [1:08:22<2:45:29,  2.06s/it]
 29%|██▉       | 1973/6790 [1:08:24<2:46:28,  2.07s/it]
                                                       
{'loss': 1.5112, 'learning_rate': 0.0003274992705637992, 'epoch': 0.29}

 29%|██▉       | 1973/6790 [1:08:24<2:46:28,  2.07s/it]
 29%|██▉       | 1974/6790 [1:08:26<2:50:42,  2.13s/it]
                                                       
{'loss': 1.6582, 'learning_rate': 0.00032742689624960325, 'epoch': 0.29}

 29%|██▉       | 1974/6790 [1:08:26<2:50:42,  2.13s/it]
 29%|██▉       | 1975/6790 [1:08:28<2:54:04,  2.17s/it]
                                                       
{'loss': 1.5631, 'learning_rate': 0.00032735449383525933, 'epoch': 0.29}

 29%|██▉       | 1975/6790 [1:08:28<2:54:04,  2.17s/it]
 29%|██▉       | 1976/6790 [1:08:30<2:51:37,  2.14s/it]
                                                       
{'loss': 1.6436, 'learning_rate': 0.00032728206333673356, 'epoch': 0.29}

 29%|██▉       | 1976/6790 [1:08:30<2:51:37,  2.14s/it]
 29%|██▉       | 1977/6790 [1:08:32<2:45:57,  2.07s/it]
                                                       
{'loss': 1.5109, 'learning_rate': 0.0003272096047699984, 'epoch': 0.29}

 29%|██▉       | 1977/6790 [1:08:32<2:45:57,  2.07s/it]
 29%|██▉       | 1978/6790 [1:08:34<2:45:39,  2.07s/it]
                                                       
{'loss': 1.5519, 'learning_rate': 0.0003271371181510323, 'epoch': 0.29}

 29%|██▉       | 1978/6790 [1:08:34<2:45:39,  2.07s/it]
 29%|██▉       | 1979/6790 [1:08:36<2:39:56,  1.99s/it]
                                                       
{'loss': 1.4462, 'learning_rate': 0.00032706460349582, 'epoch': 0.29}

 29%|██▉       | 1979/6790 [1:08:36<2:39:56,  1.99s/it]
 29%|██▉       | 1980/6790 [1:08:38<2:44:01,  2.05s/it]
                                                       
{'loss': 1.7354, 'learning_rate': 0.0003269920608203525, 'epoch': 0.29}

 29%|██▉       | 1980/6790 [1:08:38<2:44:01,  2.05s/it]
 29%|██▉       | 1981/6790 [1:08:42<3:17:55,  2.47s/it]
                                                       
{'loss': 1.3683, 'learning_rate': 0.00032691949014062677, 'epoch': 0.29}

 29%|██▉       | 1981/6790 [1:08:42<3:17:55,  2.47s/it]
 29%|██▉       | 1982/6790 [1:08:44<3:10:04,  2.37s/it]
                                                       
{'loss': 1.3323, 'learning_rate': 0.00032684689147264613, 'epoch': 0.29}

 29%|██▉       | 1982/6790 [1:08:44<3:10:04,  2.37s/it]
 29%|██▉       | 1983/6790 [1:08:46<2:56:41,  2.21s/it]
                                                       
{'loss': 1.2685, 'learning_rate': 0.0003267742648324201, 'epoch': 0.29}

 29%|██▉       | 1983/6790 [1:08:46<2:56:41,  2.21s/it]
 29%|██▉       | 1984/6790 [1:08:48<2:53:39,  2.17s/it]
                                                       
{'loss': 1.4312, 'learning_rate': 0.00032670161023596407, 'epoch': 0.29}

 29%|██▉       | 1984/6790 [1:08:48<2:53:39,  2.17s/it]
 29%|██▉       | 1985/6790 [1:08:50<2:44:54,  2.06s/it]
                                                       
{'loss': 1.3586, 'learning_rate': 0.00032662892769930006, 'epoch': 0.29}

 29%|██▉       | 1985/6790 [1:08:50<2:44:54,  2.06s/it]
 29%|██▉       | 1986/6790 [1:08:52<2:46:51,  2.08s/it]
                                                       
{'loss': 1.5895, 'learning_rate': 0.00032655621723845583, 'epoch': 0.29}

 29%|██▉       | 1986/6790 [1:08:52<2:46:51,  2.08s/it]
 29%|██▉       | 1987/6790 [1:08:54<2:45:51,  2.07s/it]
                                                       
{'loss': 1.5359, 'learning_rate': 0.00032648347886946564, 'epoch': 0.29}

 29%|██▉       | 1987/6790 [1:08:54<2:45:51,  2.07s/it]
 29%|██▉       | 1988/6790 [1:08:56<2:41:18,  2.02s/it]
                                                       
{'loss': 1.712, 'learning_rate': 0.00032641071260836957, 'epoch': 0.29}

 29%|██▉       | 1988/6790 [1:08:56<2:41:18,  2.02s/it]
 29%|██▉       | 1989/6790 [1:08:58<2:43:07,  2.04s/it]
                                                       
{'loss': 1.4663, 'learning_rate': 0.0003263379184712141, 'epoch': 0.29}

 29%|██▉       | 1989/6790 [1:08:58<2:43:07,  2.04s/it]
 29%|██▉       | 1990/6790 [1:09:00<2:41:48,  2.02s/it]
                                                       
{'loss': 1.4356, 'learning_rate': 0.0003262650964740518, 'epoch': 0.29}

 29%|██▉       | 1990/6790 [1:09:00<2:41:48,  2.02s/it]
 29%|██▉       | 1991/6790 [1:09:02<2:40:35,  2.01s/it]
                                                       
{'loss': 1.5134, 'learning_rate': 0.0003261922466329413, 'epoch': 0.29}

 29%|██▉       | 1991/6790 [1:09:02<2:40:35,  2.01s/it]
 29%|██▉       | 1992/6790 [1:09:04<2:47:58,  2.10s/it]
                                                       
{'loss': 1.5289, 'learning_rate': 0.00032611936896394743, 'epoch': 0.29}

 29%|██▉       | 1992/6790 [1:09:04<2:47:58,  2.10s/it]
 29%|██▉       | 1993/6790 [1:09:06<2:48:33,  2.11s/it]
                                                       
{'loss': 1.6237, 'learning_rate': 0.0003260464634831412, 'epoch': 0.29}

 29%|██▉       | 1993/6790 [1:09:06<2:48:33,  2.11s/it]
 29%|██▉       | 1994/6790 [1:09:08<2:46:57,  2.09s/it]
                                                       
{'loss': 1.4875, 'learning_rate': 0.00032597353020659967, 'epoch': 0.29}

 29%|██▉       | 1994/6790 [1:09:08<2:46:57,  2.09s/it]
 29%|██▉       | 1995/6790 [1:09:10<2:46:21,  2.08s/it]
                                                       
{'loss': 1.7081, 'learning_rate': 0.0003259005691504061, 'epoch': 0.29}

 29%|██▉       | 1995/6790 [1:09:10<2:46:21,  2.08s/it]
 29%|██▉       | 1996/6790 [1:09:12<2:43:58,  2.05s/it]
                                                       
{'loss': 1.3447, 'learning_rate': 0.00032582758033064985, 'epoch': 0.29}

 29%|██▉       | 1996/6790 [1:09:12<2:43:58,  2.05s/it]
 29%|██▉       | 1997/6790 [1:09:14<2:43:41,  2.05s/it]
                                                       
{'loss': 1.4183, 'learning_rate': 0.0003257545637634264, 'epoch': 0.29}

 29%|██▉       | 1997/6790 [1:09:14<2:43:41,  2.05s/it]
 29%|██▉       | 1998/6790 [1:09:16<2:38:20,  1.98s/it]
                                                       
{'loss': 1.5849, 'learning_rate': 0.0003256815194648373, 'epoch': 0.29}

 29%|██▉       | 1998/6790 [1:09:16<2:38:20,  1.98s/it]
 29%|██▉       | 1999/6790 [1:09:18<2:41:21,  2.02s/it]
                                                       
{'loss': 1.6191, 'learning_rate': 0.00032560844745099023, 'epoch': 0.29}

 29%|██▉       | 1999/6790 [1:09:18<2:41:21,  2.02s/it]
 29%|██▉       | 2000/6790 [1:09:20<2:38:11,  1.98s/it]
                                                       
{'loss': 1.4454, 'learning_rate': 0.0003255353477379991, 'epoch': 0.29}

 29%|██▉       | 2000/6790 [1:09:20<2:38:11,  1.98s/it]/home/aiops/duanky/miniconda3/envs/lora/lib/python3.11/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
  warnings.warn(

 29%|██▉       | 2001/6790 [1:09:24<3:11:47,  2.40s/it]
                                                       
{'loss': 1.603, 'learning_rate': 0.0003254622203419838, 'epoch': 0.29}

 29%|██▉       | 2001/6790 [1:09:24<3:11:47,  2.40s/it]
 29%|██▉       | 2002/6790 [1:09:25<2:59:21,  2.25s/it]
                                                       
{'loss': 1.3977, 'learning_rate': 0.0003253890652790704, 'epoch': 0.29}

 29%|██▉       | 2002/6790 [1:09:25<2:59:21,  2.25s/it]
 29%|██▉       | 2003/6790 [1:09:28<2:54:47,  2.19s/it]
                                                       
{'loss': 1.473, 'learning_rate': 0.000325315882565391, 'epoch': 0.29}

 29%|██▉       | 2003/6790 [1:09:28<2:54:47,  2.19s/it]
 30%|██▉       | 2004/6790 [1:09:30<2:50:35,  2.14s/it]
                                                       
{'loss': 1.3753, 'learning_rate': 0.00032524267221708376, 'epoch': 0.3}

 30%|██▉       | 2004/6790 [1:09:30<2:50:35,  2.14s/it]
 30%|██▉       | 2005/6790 [1:09:31<2:45:09,  2.07s/it]
                                                       
{'loss': 1.5265, 'learning_rate': 0.0003251694342502932, 'epoch': 0.3}

 30%|██▉       | 2005/6790 [1:09:31<2:45:09,  2.07s/it]
 30%|██▉       | 2006/6790 [1:09:34<2:51:49,  2.15s/it]
                                                       
{'loss': 1.3411, 'learning_rate': 0.0003250961686811696, 'epoch': 0.3}

 30%|██▉       | 2006/6790 [1:09:34<2:51:49,  2.15s/it]
 30%|██▉       | 2007/6790 [1:09:36<2:48:18,  2.11s/it]
                                                       
{'loss': 1.2354, 'learning_rate': 0.0003250228755258695, 'epoch': 0.3}

 30%|██▉       | 2007/6790 [1:09:36<2:48:18,  2.11s/it]
 30%|██▉       | 2008/6790 [1:09:38<2:40:25,  2.01s/it]
                                                       
{'loss': 1.5504, 'learning_rate': 0.0003249495548005554, 'epoch': 0.3}

 30%|██▉       | 2008/6790 [1:09:38<2:40:25,  2.01s/it]
 30%|██▉       | 2009/6790 [1:09:39<2:34:56,  1.94s/it]
                                                       
{'loss': 1.5988, 'learning_rate': 0.00032487620652139616, 'epoch': 0.3}

 30%|██▉       | 2009/6790 [1:09:39<2:34:56,  1.94s/it]
 30%|██▉       | 2010/6790 [1:09:41<2:36:59,  1.97s/it]
                                                       
{'loss': 1.5573, 'learning_rate': 0.00032480283070456645, 'epoch': 0.3}

 30%|██▉       | 2010/6790 [1:09:41<2:36:59,  1.97s/it]
 30%|██▉       | 2011/6790 [1:09:43<2:37:10,  1.97s/it]
                                                       
{'loss': 1.4763, 'learning_rate': 0.0003247294273662469, 'epoch': 0.3}

 30%|██▉       | 2011/6790 [1:09:43<2:37:10,  1.97s/it]
 30%|██▉       | 2012/6790 [1:09:46<2:44:41,  2.07s/it]
                                                       
{'loss': 1.7562, 'learning_rate': 0.0003246559965226246, 'epoch': 0.3}

 30%|██▉       | 2012/6790 [1:09:46<2:44:41,  2.07s/it]
 30%|██▉       | 2013/6790 [1:09:48<2:40:48,  2.02s/it]
                                                       
{'loss': 1.6251, 'learning_rate': 0.0003245825381898925, 'epoch': 0.3}

 30%|██▉       | 2013/6790 [1:09:48<2:40:48,  2.02s/it]
 30%|██▉       | 2014/6790 [1:09:50<2:43:40,  2.06s/it]
                                                       
{'loss': 1.6166, 'learning_rate': 0.0003245090523842496, 'epoch': 0.3}

 30%|██▉       | 2014/6790 [1:09:50<2:43:40,  2.06s/it]
 30%|██▉       | 2015/6790 [1:09:53<3:03:44,  2.31s/it]
                                                       
{'loss': 1.3551, 'learning_rate': 0.0003244355391219009, 'epoch': 0.3}

 30%|██▉       | 2015/6790 [1:09:53<3:03:44,  2.31s/it]
 30%|██▉       | 2016/6790 [1:09:55<3:02:11,  2.29s/it]
                                                       
{'loss': 1.5131, 'learning_rate': 0.0003243619984190575, 'epoch': 0.3}

 30%|██▉       | 2016/6790 [1:09:55<3:02:11,  2.29s/it]
 30%|██▉       | 2017/6790 [1:09:57<2:57:13,  2.23s/it]
                                                       
{'loss': 1.6308, 'learning_rate': 0.00032428843029193673, 'epoch': 0.3}

 30%|██▉       | 2017/6790 [1:09:57<2:57:13,  2.23s/it]
 30%|██▉       | 2018/6790 [1:09:59<2:55:33,  2.21s/it]
                                                       
{'loss': 1.6082, 'learning_rate': 0.0003242148347567617, 'epoch': 0.3}

 30%|██▉       | 2018/6790 [1:09:59<2:55:33,  2.21s/it]
 30%|██▉       | 2019/6790 [1:10:01<2:56:30,  2.22s/it]
                                                       
{'loss': 1.4506, 'learning_rate': 0.0003241412118297617, 'epoch': 0.3}

 30%|██▉       | 2019/6790 [1:10:01<2:56:30,  2.22s/it]
 30%|██▉       | 2020/6790 [1:10:04<2:59:43,  2.26s/it]
                                                       
{'loss': 1.3692, 'learning_rate': 0.00032406756152717197, 'epoch': 0.3}

 30%|██▉       | 2020/6790 [1:10:04<2:59:43,  2.26s/it]
 30%|██▉       | 2021/6790 [1:10:06<2:55:15,  2.20s/it]
                                                       
{'loss': 1.5878, 'learning_rate': 0.000323993883865234, 'epoch': 0.3}

 30%|██▉       | 2021/6790 [1:10:06<2:55:15,  2.20s/it]
 30%|██▉       | 2022/6790 [1:10:08<2:55:42,  2.21s/it]
                                                       
{'loss': 1.6522, 'learning_rate': 0.00032392017886019516, 'epoch': 0.3}

 30%|██▉       | 2022/6790 [1:10:08<2:55:42,  2.21s/it]
 30%|██▉       | 2023/6790 [1:10:10<2:48:51,  2.13s/it]
                                                       
{'loss': 1.708, 'learning_rate': 0.0003238464465283087, 'epoch': 0.3}

 30%|██▉       | 2023/6790 [1:10:10<2:48:51,  2.13s/it]
 30%|██▉       | 2024/6790 [1:10:12<2:41:50,  2.04s/it]
                                                       
{'loss': 1.689, 'learning_rate': 0.00032377268688583424, 'epoch': 0.3}

 30%|██▉       | 2024/6790 [1:10:12<2:41:50,  2.04s/it]
 30%|██▉       | 2025/6790 [1:10:14<2:38:08,  1.99s/it]
                                                       
{'loss': 1.6841, 'learning_rate': 0.0003236988999490371, 'epoch': 0.3}

 30%|██▉       | 2025/6790 [1:10:14<2:38:08,  1.99s/it]
 30%|██▉       | 2026/6790 [1:10:16<2:44:20,  2.07s/it]
                                                       
{'loss': 1.4976, 'learning_rate': 0.0003236250857341888, 'epoch': 0.3}

 30%|██▉       | 2026/6790 [1:10:16<2:44:20,  2.07s/it]
 30%|██▉       | 2027/6790 [1:10:18<2:41:55,  2.04s/it]
                                                       
{'loss': 1.5996, 'learning_rate': 0.00032355124425756696, 'epoch': 0.3}

 30%|██▉       | 2027/6790 [1:10:18<2:41:55,  2.04s/it]
 30%|██▉       | 2028/6790 [1:10:20<2:39:02,  2.00s/it]
                                                       
{'loss': 1.4894, 'learning_rate': 0.00032347737553545486, 'epoch': 0.3}

 30%|██▉       | 2028/6790 [1:10:20<2:39:02,  2.00s/it]
 30%|██▉       | 2029/6790 [1:10:22<2:51:19,  2.16s/it]
                                                       
{'loss': 1.4708, 'learning_rate': 0.00032340347958414214, 'epoch': 0.3}

 30%|██▉       | 2029/6790 [1:10:22<2:51:19,  2.16s/it]
 30%|██▉       | 2030/6790 [1:10:24<2:51:39,  2.16s/it]
                                                       
{'loss': 1.6562, 'learning_rate': 0.0003233295564199243, 'epoch': 0.3}

 30%|██▉       | 2030/6790 [1:10:24<2:51:39,  2.16s/it]
 30%|██▉       | 2031/6790 [1:10:27<2:48:06,  2.12s/it]
                                                       
{'loss': 1.6137, 'learning_rate': 0.0003232556060591029, 'epoch': 0.3}

 30%|██▉       | 2031/6790 [1:10:27<2:48:06,  2.12s/it]
 30%|██▉       | 2032/6790 [1:10:28<2:41:31,  2.04s/it]
                                                       
{'loss': 1.3795, 'learning_rate': 0.00032318162851798535, 'epoch': 0.3}

 30%|██▉       | 2032/6790 [1:10:28<2:41:31,  2.04s/it]
 30%|██▉       | 2033/6790 [1:10:30<2:36:01,  1.97s/it]
                                                       
{'loss': 1.4064, 'learning_rate': 0.00032310762381288524, 'epoch': 0.3}

 30%|██▉       | 2033/6790 [1:10:30<2:36:01,  1.97s/it]
 30%|██▉       | 2034/6790 [1:10:32<2:37:43,  1.99s/it]
                                                       
{'loss': 1.5622, 'learning_rate': 0.0003230335919601221, 'epoch': 0.3}

 30%|██▉       | 2034/6790 [1:10:32<2:37:43,  1.99s/it]
 30%|██▉       | 2035/6790 [1:10:34<2:41:10,  2.03s/it]
                                                       
{'loss': 1.5003, 'learning_rate': 0.0003229595329760214, 'epoch': 0.3}

 30%|██▉       | 2035/6790 [1:10:34<2:41:10,  2.03s/it]
 30%|██▉       | 2036/6790 [1:10:37<2:53:35,  2.19s/it]
                                                       
{'loss': 1.4169, 'learning_rate': 0.00032288544687691446, 'epoch': 0.3}

 30%|██▉       | 2036/6790 [1:10:37<2:53:35,  2.19s/it]
 30%|███       | 2037/6790 [1:10:39<2:49:24,  2.14s/it]
                                                       
{'loss': 1.4235, 'learning_rate': 0.0003228113336791389, 'epoch': 0.3}

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{'loss': 1.4268, 'learning_rate': 0.00024305101791070624, 'epoch': 0.44}

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{'loss': 1.4291, 'learning_rate': 0.00024295929576857148, 'epoch': 0.44}

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{'loss': 1.229, 'learning_rate': 0.00024286756415306329, 'epoch': 0.44}

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{'loss': 1.4693, 'learning_rate': 0.00024277582308441034, 'epoch': 0.44}

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{'loss': 1.4342, 'learning_rate': 0.00024268407258284334, 'epoch': 0.44}

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{'loss': 1.4482, 'learning_rate': 0.00024259231266859517, 'epoch': 0.44}

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{'loss': 1.516, 'learning_rate': 0.00024250054336190054, 'epoch': 0.44}

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{'loss': 1.493, 'learning_rate': 0.00024240876468299653, 'epoch': 0.44}

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{'loss': 1.5149, 'learning_rate': 0.00024231697665212215, 'epoch': 0.44}

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{'loss': 1.5165, 'learning_rate': 0.00024222517928951836, 'epoch': 0.44}

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{'loss': 1.3016, 'learning_rate': 0.0002421333726154284, 'epoch': 0.44}

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{'loss': 1.3659, 'learning_rate': 0.00024204155665009746, 'epoch': 0.44}

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{'loss': 1.4883, 'learning_rate': 0.00024194973141377268, 'epoch': 0.44}

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{'loss': 1.335, 'learning_rate': 0.00024185789692670334, 'epoch': 0.44}

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{'loss': 1.497, 'learning_rate': 0.00024176605320914095, 'epoch': 0.44}

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{'loss': 1.4529, 'learning_rate': 0.00024167420028133862, 'epoch': 0.44}

 44%|████▍     | 3000/6790 [1:44:06<2:02:09,  1.93s/it]/home/aiops/duanky/miniconda3/envs/lora/lib/python3.11/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
  warnings.warn(

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{'loss': 1.4569, 'learning_rate': 0.00024158233816355185, 'epoch': 0.44}

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{'loss': 1.5477, 'learning_rate': 0.00024149046687603812, 'epoch': 0.44}

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{'loss': 1.5344, 'learning_rate': 0.0002413985864390567, 'epoch': 0.44}

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{'loss': 1.3418, 'learning_rate': 0.00024130669687286922, 'epoch': 0.44}

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{'loss': 1.3364, 'learning_rate': 0.00024121479819773898, 'epoch': 0.44}

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{'loss': 1.4736, 'learning_rate': 0.00024112289043393158, 'epoch': 0.44}

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{'loss': 1.3519, 'learning_rate': 0.0002410309736017144, 'epoch': 0.44}

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{'loss': 1.4704, 'learning_rate': 0.00024093904772135697, 'epoch': 0.44}

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{'loss': 1.4928, 'learning_rate': 0.0002408471128131308, 'epoch': 0.44}

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{'loss': 1.5044, 'learning_rate': 0.00024075516889730927, 'epoch': 0.44}

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{'loss': 1.6997, 'learning_rate': 0.00024066321599416787, 'epoch': 0.44}

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{'loss': 1.7503, 'learning_rate': 0.000240571254123984, 'epoch': 0.44}

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{'loss': 1.2193, 'learning_rate': 0.00024047928330703716, 'epoch': 0.44}

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{'loss': 1.5995, 'learning_rate': 0.0002403873035636086, 'epoch': 0.44}

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{'loss': 1.4333, 'learning_rate': 0.00024029531491398182, 'epoch': 0.44}

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{'loss': 1.6454, 'learning_rate': 0.00024020331737844197, 'epoch': 0.44}

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{'loss': 1.4701, 'learning_rate': 0.00024011131097727645, 'epoch': 0.44}

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{'loss': 1.5253, 'learning_rate': 0.00024001929573077448, 'epoch': 0.44}

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{'loss': 1.458, 'learning_rate': 0.00023992727165922717, 'epoch': 0.44}

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{'loss': 1.4487, 'learning_rate': 0.00023983523878292774, 'epoch': 0.44}

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{'loss': 1.2825, 'learning_rate': 0.00023974319712217112, 'epoch': 0.44}

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{'loss': 1.6549, 'learning_rate': 0.00023965114669725445, 'epoch': 0.45}

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{'loss': 1.4405, 'learning_rate': 0.0002395590875284766, 'epoch': 0.45}

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{'loss': 1.5857, 'learning_rate': 0.00023946701963613843, 'epoch': 0.45}

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{'loss': 1.7165, 'learning_rate': 0.0002393749430405428, 'epoch': 0.45}

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{'loss': 1.5218, 'learning_rate': 0.00023928285776199433, 'epoch': 0.45}

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{'loss': 1.5721, 'learning_rate': 0.0002391907638207997, 'epoch': 0.45}

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{'loss': 1.7981, 'learning_rate': 0.0002390986612372674, 'epoch': 0.45}

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{'loss': 1.4553, 'learning_rate': 0.0002390065500317079, 'epoch': 0.45}

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{'loss': 1.3479, 'learning_rate': 0.00023891443022443354, 'epoch': 0.45}

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{'loss': 1.3771, 'learning_rate': 0.00023882230183575848, 'epoch': 0.45}

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{'loss': 1.4485, 'learning_rate': 0.00023873016488599896, 'epoch': 0.45}

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{'loss': 1.5249, 'learning_rate': 0.00023863801939547302, 'epoch': 0.45}

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{'loss': 1.4589, 'learning_rate': 0.00023854586538450044, 'epoch': 0.45}

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{'loss': 1.4931, 'learning_rate': 0.00023845370287340302, 'epoch': 0.45}

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{'loss': 1.4388, 'learning_rate': 0.00023836153188250454, 'epoch': 0.45}

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{'loss': 1.5325, 'learning_rate': 0.0002382693524321304, 'epoch': 0.45}

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{'loss': 1.4863, 'learning_rate': 0.00023817716454260803, 'epoch': 0.45}

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{'loss': 1.4181, 'learning_rate': 0.0002380849682342667, 'epoch': 0.45}

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{'loss': 1.4422, 'learning_rate': 0.00023799276352743745, 'epoch': 0.45}

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{'loss': 1.1962, 'learning_rate': 0.00023790055044245332, 'epoch': 0.45}

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{'loss': 1.555, 'learning_rate': 0.00023780832899964903, 'epoch': 0.45}

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{'loss': 1.3105, 'learning_rate': 0.00023771609921936136, 'epoch': 0.45}

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{'loss': 1.5665, 'learning_rate': 0.00023762386112192866, 'epoch': 0.45}

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{'loss': 1.6334, 'learning_rate': 0.00023753161472769136, 'epoch': 0.45}

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{'loss': 1.4255, 'learning_rate': 0.00023743936005699153, 'epoch': 0.45}

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{'loss': 1.7019, 'learning_rate': 0.00023734709713017313, 'epoch': 0.45}

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{'loss': 1.5316, 'learning_rate': 0.00023725482596758207, 'epoch': 0.45}

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{'loss': 1.4862, 'learning_rate': 0.0002371625465895659, 'epoch': 0.45}

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{'loss': 1.583, 'learning_rate': 0.00023707025901647405, 'epoch': 0.45}

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{'loss': 1.4929, 'learning_rate': 0.00023697796326865774, 'epoch': 0.45}

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{'loss': 1.4452, 'learning_rate': 0.00023688565936647003, 'epoch': 0.45}

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{'loss': 1.3471, 'learning_rate': 0.00023679334733026574, 'epoch': 0.45}

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{'loss': 1.5554, 'learning_rate': 0.00023670102718040153, 'epoch': 0.45}

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{'loss': 1.3459, 'learning_rate': 0.00023660869893723577, 'epoch': 0.45}

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{'loss': 1.3999, 'learning_rate': 0.000149189364275622, 'epoch': 0.59}

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{'loss': 1.4095, 'learning_rate': 0.00014873531674201022, 'epoch': 0.59}

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{'loss': 1.546, 'learning_rate': 0.0001486445410698253, 'epoch': 0.59}

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  warnings.warn(

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{'loss': 1.4721, 'learning_rate': 0.0001485537767225337, 'epoch': 0.59}

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{'loss': 1.5146, 'learning_rate': 0.00014846302372015054, 'epoch': 0.59}

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{'loss': 1.3026, 'learning_rate': 0.00014837228208268893, 'epoch': 0.59}

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{'loss': 1.3127, 'learning_rate': 0.00014828155183015888, 'epoch': 0.59}

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{'loss': 1.4777, 'learning_rate': 0.00014800942958222493, 'epoch': 0.59}

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{'loss': 1.525, 'learning_rate': 0.0001479187450694748, 'epoch': 0.59}

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{'loss': 1.4217, 'learning_rate': 0.00014782807204167023, 'epoch': 0.59}

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{'loss': 1.3679, 'learning_rate': 0.00014773741051880653, 'epoch': 0.59}

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{'loss': 1.4404, 'learning_rate': 0.00014764676052087618, 'epoch': 0.59}

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{'loss': 1.4544, 'learning_rate': 0.00014755612206786945, 'epoch': 0.59}

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{'loss': 1.4064, 'learning_rate': 0.00014746549517977378, 'epoch': 0.59}

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{'loss': 1.3097, 'learning_rate': 0.00014737487987657438, 'epoch': 0.59}

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{'loss': 1.3996, 'learning_rate': 0.0001472842761782535, 'epoch': 0.59}

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{'loss': 1.2374, 'learning_rate': 0.00014719368410479118, 'epoch': 0.59}

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{'loss': 1.2583, 'learning_rate': 0.00014710310367616468, 'epoch': 0.59}

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{'loss': 1.689, 'learning_rate': 0.00014701253491234884, 'epoch': 0.59}

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{'loss': 1.3779, 'learning_rate': 0.00014692197783331584, 'epoch': 0.59}

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{'loss': 1.501, 'learning_rate': 0.0001468314324590353, 'epoch': 0.59}

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{'loss': 1.4598, 'learning_rate': 0.00014674089880947424, 'epoch': 0.59}

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{'loss': 1.475, 'learning_rate': 0.00014665037690459717, 'epoch': 0.59}

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{'loss': 1.5337, 'learning_rate': 0.0001465598667643659, 'epoch': 0.59}

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{'loss': 1.2012, 'learning_rate': 0.00014646936840873975, 'epoch': 0.59}

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{'loss': 1.5735, 'learning_rate': 0.00014637888185767533, 'epoch': 0.59}

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{'loss': 1.5754, 'learning_rate': 0.0001462884071311268, 'epoch': 0.59}

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{'loss': 1.5419, 'learning_rate': 0.00014619794424904558, 'epoch': 0.59}

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{'loss': 1.363, 'learning_rate': 0.00014610749323138055, 'epoch': 0.59}

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{'loss': 1.355, 'learning_rate': 0.00014601705409807793, 'epoch': 0.59}

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{'loss': 1.4101, 'learning_rate': 0.0001459266268690813, 'epoch': 0.59}

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{'loss': 1.3874, 'learning_rate': 0.00014583621156433172, 'epoch': 0.59}

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{'loss': 1.5682, 'learning_rate': 0.00014574580820376747, 'epoch': 0.59}

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{'loss': 1.519, 'learning_rate': 0.00014565541680732435, 'epoch': 0.59}

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{'loss': 1.3361, 'learning_rate': 0.00014556503739493538, 'epoch': 0.59}

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{'loss': 1.4448, 'learning_rate': 0.0001454746699865311, 'epoch': 0.59}

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{'loss': 1.5179, 'learning_rate': 0.00014538431460203914, 'epoch': 0.59}

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{'loss': 1.1576, 'learning_rate': 0.0001452939712613849, 'epoch': 0.59}

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{'loss': 1.2798, 'learning_rate': 0.0001452036399844906, 'epoch': 0.59}

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{'loss': 1.3621, 'learning_rate': 0.00014511332079127632, 'epoch': 0.59}

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{'loss': 1.5725, 'learning_rate': 0.00014502301370165904, 'epoch': 0.59}

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{'loss': 1.3383, 'learning_rate': 0.00014493271873555337, 'epoch': 0.6}

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{'loss': 1.3511, 'learning_rate': 0.00014484243591287105, 'epoch': 0.6}

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{'loss': 1.5054, 'learning_rate': 0.00014475216525352123, 'epoch': 0.6}

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{'loss': 1.5473, 'learning_rate': 0.00014448142645451836, 'epoch': 0.6}

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{'loss': 1.391, 'learning_rate': 0.00014439120464753642, 'epoch': 0.6}

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{'loss': 1.4206, 'learning_rate': 0.00014430099510339247, 'epoch': 0.6}

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{'loss': 1.2335, 'learning_rate': 0.00014421079784197947, 'epoch': 0.6}

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{'loss': 1.5648, 'learning_rate': 0.0001440304402469046, 'epoch': 0.6}

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{'loss': 1.4569, 'learning_rate': 0.00014394027995301523, 'epoch': 0.6}

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{'loss': 1.626, 'learning_rate': 0.00014385013202140154, 'epoch': 0.6}

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{'loss': 1.3524, 'learning_rate': 0.00014375999647194302, 'epoch': 0.6}

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{'loss': 1.3486, 'learning_rate': 0.00014366987332451632, 'epoch': 0.6}

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{'loss': 1.417, 'learning_rate': 0.00014357976259899536, 'epoch': 0.6}

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{'loss': 1.4001, 'learning_rate': 0.00014348966431525136, 'epoch': 0.6}

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{'loss': 1.4426, 'learning_rate': 0.00014339957849315277, 'epoch': 0.6}

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{'loss': 1.4535, 'learning_rate': 6.785743360691694e-05, 'epoch': 0.73}

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{'loss': 1.34, 'learning_rate': 6.778694889027071e-05, 'epoch': 0.73}

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{'loss': 1.4885, 'learning_rate': 6.74349629515251e-05, 'epoch': 0.73}

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{'loss': 1.4104, 'learning_rate': 6.715390030505959e-05, 'epoch': 0.74}

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{'loss': 1.4037, 'learning_rate': 6.694341086544407e-05, 'epoch': 0.74}

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{'loss': 1.503, 'learning_rate': 6.687330638149523e-05, 'epoch': 0.74}

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{'loss': 1.5119, 'learning_rate': 6.680323125461214e-05, 'epoch': 0.74}

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{'loss': 1.0325, 'learning_rate': 6.673318550024806e-05, 'epoch': 0.74}

 74%|███████▎  | 5000/6790 [2:53:16<59:58,  2.01s/it]/home/aiops/duanky/miniconda3/envs/lora/lib/python3.11/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
  warnings.warn(

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{'loss': 1.3127, 'learning_rate': 6.666316913384923e-05, 'epoch': 0.74}

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{'loss': 1.4711, 'learning_rate': 6.64532965168122e-05, 'epoch': 0.74}

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{'loss': 1.4947, 'learning_rate': 6.638339785660972e-05, 'epoch': 0.74}

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{'loss': 1.4244, 'learning_rate': 6.624368894691351e-05, 'epoch': 0.74}

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{'loss': 1.4157, 'learning_rate': 6.610409802084679e-05, 'epoch': 0.74}

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{'loss': 1.3126, 'learning_rate': 6.603434684015661e-05, 'epoch': 0.74}

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{'loss': 1.3973, 'learning_rate': 6.596462520153964e-05, 'epoch': 0.74}

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{'loss': 1.4431, 'learning_rate': 6.589493312037063e-05, 'epoch': 0.74}

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{'loss': 1.4702, 'learning_rate': 6.582527061201817e-05, 'epoch': 0.74}

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{'loss': 1.1581, 'learning_rate': 6.540791745086345e-05, 'epoch': 0.74}

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{'loss': 1.4789, 'learning_rate': 6.533846238199588e-05, 'epoch': 0.74}

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{'loss': 1.496, 'learning_rate': 6.526903700865776e-05, 'epoch': 0.74}

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{'loss': 1.3958, 'learning_rate': 6.519964134615856e-05, 'epoch': 0.74}

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{'loss': 1.398, 'learning_rate': 6.513027540980154e-05, 'epoch': 0.74}

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{'loss': 1.2809, 'learning_rate': 6.506093921488304e-05, 'epoch': 0.74}

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{'loss': 1.6676, 'learning_rate': 6.492235611051567e-05, 'epoch': 0.74}

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{'loss': 1.4681, 'learning_rate': 6.485310923162697e-05, 'epoch': 0.74}

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{'loss': 1.5825, 'learning_rate': 6.478389215529756e-05, 'epoch': 0.74}

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{'loss': 1.5408, 'learning_rate': 6.471470489679117e-05, 'epoch': 0.74}

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{'loss': 1.2668, 'learning_rate': 6.443825434604021e-05, 'epoch': 0.74}

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{'loss': 1.3426, 'learning_rate': 6.436921640537461e-05, 'epoch': 0.74}

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{'loss': 1.501, 'learning_rate': 6.430020837397621e-05, 'epoch': 0.74}

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{'loss': 1.3895, 'learning_rate': 6.423123026706273e-05, 'epoch': 0.74}

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{'loss': 1.6046, 'learning_rate': 6.416228209984507e-05, 'epoch': 0.74}

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{'loss': 1.418, 'learning_rate': 6.395561738837867e-05, 'epoch': 0.74}

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{'loss': 1.473, 'learning_rate': 1.8533901431479483e-05, 'epoch': 0.86}

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{'loss': 1.3003, 'learning_rate': 1.8494436167616503e-05, 'epoch': 0.86}

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{'loss': 1.371, 'learning_rate': 1.8336975454686e-05, 'epoch': 0.87}

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{'loss': 1.2593, 'learning_rate': 1.821930052257439e-05, 'epoch': 0.87}

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{'loss': 1.3768, 'learning_rate': 1.8180155706150236e-05, 'epoch': 0.87}

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{'loss': 1.4153, 'learning_rate': 1.814105098459371e-05, 'epoch': 0.87}

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{'loss': 1.5059, 'learning_rate': 1.8101986366528025e-05, 'epoch': 0.87}

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{'loss': 1.4757, 'learning_rate': 1.8023977475318833e-05, 'epoch': 0.87}

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{'loss': 1.3965, 'learning_rate': 1.779091417956098e-05, 'epoch': 0.87}

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{'loss': 1.2726, 'learning_rate': 1.767492485563349e-05, 'epoch': 0.87}

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{'loss': 1.4149, 'learning_rate': 1.763634214886045e-05, 'epoch': 0.87}

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{'loss': 1.4651, 'learning_rate': 1.7597799656876666e-05, 'epoch': 0.87}

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{'loss': 1.3915, 'learning_rate': 1.755929738818136e-05, 'epoch': 0.87}

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{'loss': 1.4676, 'learning_rate': 1.752083535126521e-05, 'epoch': 0.87}

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{'loss': 1.3886, 'learning_rate': 1.748241355460982e-05, 'epoch': 0.87}

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{'loss': 1.4454, 'learning_rate': 1.7444032006687893e-05, 'epoch': 0.87}

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{'loss': 1.4109, 'learning_rate': 1.740569071596336e-05, 'epoch': 0.87}

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{'loss': 1.2293, 'learning_rate': 1.736738969089122e-05, 'epoch': 0.87}

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{'loss': 1.4001, 'learning_rate': 1.7329128939917648e-05, 'epoch': 0.87}

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{'loss': 1.4678, 'learning_rate': 1.7290908471479805e-05, 'epoch': 0.87}

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{'loss': 1.2687, 'learning_rate': 1.7214588415916145e-05, 'epoch': 0.87}

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{'loss': 1.3937, 'learning_rate': 1.717648884562035e-05, 'epoch': 0.87}

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{'loss': 1.1829, 'learning_rate': 1.71384295915205e-05, 'epoch': 0.87}

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{'loss': 1.5312, 'learning_rate': 1.68731443701839e-05, 'epoch': 0.87}

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{'loss': 1.6534, 'learning_rate': 1.6797711915318758e-05, 'epoch': 0.87}

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{'loss': 1.3479, 'learning_rate': 1.676005628331543e-05, 'epoch': 0.87}

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{'loss': 1.6795, 'learning_rate': 1.6722441059339645e-05, 'epoch': 0.87}

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{'loss': 1.4214, 'learning_rate': 1.4051618425078694e-05, 'epoch': 0.88}

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{'loss': 1.4159, 'learning_rate': 1.4017056814770502e-05, 'epoch': 0.88}

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{'loss': 1.325, 'learning_rate': 1.3982536217375375e-05, 'epoch': 0.88}

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{'loss': 1.2539, 'learning_rate': 1.3948056640505868e-05, 'epoch': 0.88}

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{'loss': 1.619, 'learning_rate': 1.3913618091765347e-05, 'epoch': 0.88}

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{'loss': 1.442, 'learning_rate': 1.3879220578748264e-05, 'epoch': 0.88}

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{'loss': 1.4759, 'learning_rate': 1.3844864109039912e-05, 'epoch': 0.88}

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{'loss': 1.3652, 'learning_rate': 1.3810548690216563e-05, 'epoch': 0.88}

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{'loss': 1.3823, 'learning_rate': 1.377627432984545e-05, 'epoch': 0.88}

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{'loss': 1.1931, 'learning_rate': 1.3742041035484731e-05, 'epoch': 0.88}

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{'loss': 1.296, 'learning_rate': 1.3707848814683611e-05, 'epoch': 0.88}

 88%|████████▊ | 6000/6790 [3:28:00<33:31,  2.55s/it]/home/aiops/duanky/miniconda3/envs/lora/lib/python3.11/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
  warnings.warn(

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{'loss': 1.3183, 'learning_rate': 1.367369767498199e-05, 'epoch': 0.88}

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{'loss': 1.5309, 'learning_rate': 1.3639587623911044e-05, 'epoch': 0.88}

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{'loss': 1.2972, 'learning_rate': 1.3605518668992578e-05, 'epoch': 0.88}

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{'loss': 1.5102, 'learning_rate': 1.357149081773954e-05, 'epoch': 0.88}

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{'loss': 1.4409, 'learning_rate': 1.3537504077655728e-05, 'epoch': 0.88}

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{'loss': 1.2483, 'learning_rate': 1.3503558456235899e-05, 'epoch': 0.88}

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{'loss': 1.3373, 'learning_rate': 1.3469653960965711e-05, 'epoch': 0.88}

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{'loss': 1.1267, 'learning_rate': 1.3435790599321784e-05, 'epoch': 0.88}

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{'loss': 1.5564, 'learning_rate': 1.3401968378771657e-05, 'epoch': 0.88}

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{'loss': 1.3073, 'learning_rate': 1.3368187306773827e-05, 'epoch': 0.89}

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{'loss': 1.5745, 'learning_rate': 1.3334447390777626e-05, 'epoch': 0.89}

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{'loss': 1.2862, 'learning_rate': 1.330074863822337e-05, 'epoch': 0.89}

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{'loss': 1.5602, 'learning_rate': 1.3267091056542425e-05, 'epoch': 0.89}

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{'loss': 1.3022, 'learning_rate': 1.3233474653156808e-05, 'epoch': 0.89}

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{'loss': 1.1716, 'learning_rate': 1.3199899435479678e-05, 'epoch': 0.89}

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{'loss': 1.2029, 'learning_rate': 1.3166365410915004e-05, 'epoch': 0.89}

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{'loss': 1.2752, 'learning_rate': 1.3132872586857736e-05, 'epoch': 0.89}

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{'loss': 1.4809, 'learning_rate': 1.3099420970693654e-05, 'epoch': 0.89}

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{'loss': 1.4996, 'learning_rate': 1.3066010569799503e-05, 'epoch': 0.89}

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{'loss': 1.4317, 'learning_rate': 1.3032641391542987e-05, 'epoch': 0.89}

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{'loss': 1.3436, 'learning_rate': 1.2999313443282646e-05, 'epoch': 0.89}

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{'loss': 1.3565, 'learning_rate': 1.2966026732367887e-05, 'epoch': 0.89}

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{'loss': 1.5771, 'learning_rate': 1.2932781266139216e-05, 'epoch': 0.89}

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{'loss': 1.3886, 'learning_rate': 1.2899577051927814e-05, 'epoch': 0.89}

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{'loss': 1.2588, 'learning_rate': 1.2866414097055913e-05, 'epoch': 0.89}

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{'loss': 1.5249, 'learning_rate': 1.2833292408836528e-05, 'epoch': 0.89}

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{'loss': 1.4005, 'learning_rate': 1.2800211994573752e-05, 'epoch': 0.89}

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{'loss': 1.5441, 'learning_rate': 1.2767172861562394e-05, 'epoch': 0.89}

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{'loss': 1.2481, 'learning_rate': 1.2734175017088245e-05, 'epoch': 0.89}

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{'loss': 1.3557, 'learning_rate': 1.2701218468428e-05, 'epoch': 0.89}

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{'loss': 1.4935, 'learning_rate': 1.2668303222849242e-05, 'epoch': 0.89}

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{'loss': 1.3847, 'learning_rate': 1.2635429287610434e-05, 'epoch': 0.89}

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{'loss': 1.2128, 'learning_rate': 1.2602596669960843e-05, 'epoch': 0.89}

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{'loss': 1.2198, 'learning_rate': 1.2569805377140854e-05, 'epoch': 0.89}

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{'loss': 1.3439, 'learning_rate': 1.253705541638146e-05, 'epoch': 0.89}

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{'loss': 1.3738, 'learning_rate': 1.2504346794904753e-05, 'epoch': 0.89}

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{'loss': 1.5013, 'learning_rate': 1.2471679519923608e-05, 'epoch': 0.89}

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{'loss': 1.5349, 'learning_rate': 1.2439053598641837e-05, 'epoch': 0.89}

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{'loss': 1.5457, 'learning_rate': 1.2406469038254021e-05, 'epoch': 0.89}

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{'loss': 1.4353, 'learning_rate': 1.2373925845945766e-05, 'epoch': 0.89}

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{'loss': 1.5722, 'learning_rate': 1.2341424028893445e-05, 'epoch': 0.89}

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{'loss': 1.304, 'learning_rate': 1.2308963594264434e-05, 'epoch': 0.89}

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{'loss': 1.4227, 'learning_rate': 1.2276544549216806e-05, 'epoch': 0.89}

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{'loss': 1.203, 'learning_rate': 1.2244166900899624e-05, 'epoch': 0.89}

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{'loss': 1.5185, 'learning_rate': 1.2211830656452817e-05, 'epoch': 0.89}

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{'loss': 1.6148, 'learning_rate': 1.2179535823007149e-05, 'epoch': 0.89}

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{'loss': 1.4269, 'learning_rate': 1.214728240768428e-05, 'epoch': 0.89}

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{'loss': 1.4953, 'learning_rate': 1.2115070417596741e-05, 'epoch': 0.89}

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{'loss': 1.3946, 'learning_rate': 1.2082899859847919e-05, 'epoch': 0.89}

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{'loss': 1.5025, 'learning_rate': 1.2050770741532003e-05, 'epoch': 0.89}

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{'loss': 1.214, 'learning_rate': 1.2018683069734126e-05, 'epoch': 0.89}

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{'loss': 1.2567, 'learning_rate': 1.1986636851530275e-05, 'epoch': 0.89}

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{'loss': 1.3292, 'learning_rate': 1.1954632093987284e-05, 'epoch': 0.89}

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{'loss': 1.2677, 'learning_rate': 1.192266880416275e-05, 'epoch': 0.89}

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{'loss': 1.3575, 'learning_rate': 1.1890746989105284e-05, 'epoch': 0.89}

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{'loss': 1.4696, 'learning_rate': 1.1858866655854273e-05, 'epoch': 0.89}

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{'loss': 1.6258, 'learning_rate': 1.1827027811439961e-05, 'epoch': 0.89}

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{'loss': 1.4852, 'learning_rate': 1.1795230462883377e-05, 'epoch': 0.89}

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{'loss': 1.3161, 'learning_rate': 1.1763474617196556e-05, 'epoch': 0.89}

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{'loss': 1.3943, 'learning_rate': 1.1731760281382232e-05, 'epoch': 0.89}

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{'loss': 1.3288, 'learning_rate': 4.3221717153763e-09, 'epoch': 1.0}

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{'loss': 1.3344, 'learning_rate': 3.7267723588030325e-09, 'epoch': 1.0}

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{'loss': 1.5975, 'learning_rate': 3.1754761314450876e-09, 'epoch': 1.0}

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{'loss': 1.6209, 'learning_rate': 2.668283154916296e-09, 'epoch': 1.0}

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{'loss': 1.5006, 'learning_rate': 2.2051935410161152e-09, 'epoch': 1.0}

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{'loss': 1.1915, 'learning_rate': 1.786207391885064e-09, 'epoch': 1.0}

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{'loss': 1.3209, 'learning_rate': 1.411324799915903e-09, 'epoch': 1.0}

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{'loss': 1.5836, 'learning_rate': 1.0805458477980424e-09, 'epoch': 1.0}

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{'loss': 1.5578, 'learning_rate': 7.938706084287262e-10, 'epoch': 1.0}

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{'loss': 1.5099, 'learning_rate': 5.512991450684624e-10, 'epoch': 1.0}

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{'loss': 1.4081, 'learning_rate': 3.528315112077962e-10, 'epoch': 1.0}

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{'loss': 1.3599, 'learning_rate': 1.9846775058951494e-10, 'epoch': 1.0}

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{'train_runtime': 14141.1719, 'train_samples_per_second': 15.365, 'train_steps_per_second': 0.48, 'train_loss': 1.4742020828910007, 'epoch': 1.0}

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wandb: 
wandb: Run history:
wandb:                    train/epoch ▁▁▁▁▂▂▂▂▂▃▃▃▃▃▃▄▄▄▄▄▅▅▅▅▅▅▆▆▆▆▆▇▇▇▇▇▇███
wandb:              train/global_step ▁▁▁▂▂▂▂▂▂▃▃▃▃▃▃▄▄▄▄▄▅▅▅▅▅▅▆▆▆▆▆▇▇▇▇▇▇███
wandb:            train/learning_rate ▅███████▇▇▇▇▇▆▆▆▆▅▅▅▄▄▄▄▃▃▃▃▂▂▂▂▂▁▁▁▁▁▁▁
wandb:                     train/loss █▆▄▆▆▃▇▅▃▆▆▆▅▂▂▃▃█▄▆▄▆▂▆▂▃▂▄▁▂▄▂▂▃▃▅▃▄▂▁
wandb:               train/total_flos ▁
wandb:               train/train_loss ▁
wandb:            train/train_runtime ▁
wandb: train/train_samples_per_second ▁
wandb:   train/train_steps_per_second ▁
wandb: 
wandb: Run summary:
wandb:                    train/epoch 1.0
wandb:              train/global_step 6790
wandb:            train/learning_rate 0.0
wandb:                     train/loss 1.3599
wandb:               train/total_flos 1.229365279469863e+18
wandb:               train/train_loss 1.4742
wandb:            train/train_runtime 14141.1719
wandb: train/train_samples_per_second 15.365
wandb:   train/train_steps_per_second 0.48
wandb: 
wandb: 🚀 View run belle_dolphine-p14 at: https://wandb.ai/nus_keyu/lora-moe/runs/o5uuhyd3
wandb: Synced 6 W&B file(s), 0 media file(s), 0 artifact file(s) and 0 other file(s)
wandb: Find logs at: ./wandb/run-20231229_144811-o5uuhyd3/logs