Upload folder using huggingface_hub
Browse files- .gitattributes +1 -0
- config.json +36 -0
- generation_config.json +9 -0
- logs/rank_0000.log +340 -0
- logs/rank_0001.log +35 -0
- logs/rank_0002.log +35 -0
- logs/rank_0003.log +35 -0
- model-00001-of-00004.safetensors +3 -0
- model-00002-of-00004.safetensors +3 -0
- model-00003-of-00004.safetensors +3 -0
- model-00004-of-00004.safetensors +3 -0
- model.safetensors.index.json +298 -0
- runs/Jan31_02-39-31_sky-e018-bf996-370b-head-9t91s4aj-compute/events.out.tfevents.1738291276.sky-e018-bf996-370b-head-9t91s4aj-compute.10758.0 +3 -0
- special_tokens_map.json +23 -0
- telemetry/devices_info.txt +5 -0
- telemetry/telemetry_callback_metrics_rank0000.json +10 -0
- telemetry/telemetry_callback_rank0000.json +39 -0
- telemetry/telemetry_callback_wandb_rank0000.json +5 -0
- telemetry/training_config.yaml +166 -0
- telemetry/world_size.json +4 -0
- tokenizer.json +3 -0
- tokenizer_config.json +2063 -0
- trainer_state.json +556 -0
- training_args.bin +3 -0
.gitattributes
CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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config.json
ADDED
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{
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"_name_or_path": "meta-llama/Meta-Llama-3.1-8B",
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 128000,
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"eos_token_id": 128001,
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"head_dim": 128,
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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 14336,
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"max_position_embeddings": 131072,
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"mlp_bias": false,
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"model_type": "llama",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"num_key_value_heads": 8,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_scaling": {
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"factor": 8.0,
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"high_freq_factor": 4.0,
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"low_freq_factor": 1.0,
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"original_max_position_embeddings": 8192,
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"rope_type": "llama3"
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},
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"rope_theta": 500000.0,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.45.2",
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"use_cache": false,
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"vocab_size": 128256
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}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 128000,
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"do_sample": true,
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"eos_token_id": 128001,
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"temperature": 0.6,
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"top_p": 0.9,
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"transformers_version": "4.45.2"
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}
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logs/rank_0000.log
ADDED
@@ -0,0 +1,340 @@
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[2025-01-31 02:24:32,670][oumi][rank0][pid:10758][MainThread][INFO]][train.py:144] Resolved 'training.dataloader_num_workers=auto' to 'training.dataloader_num_workers=8'
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+
[2025-01-31 02:24:32,672][oumi][rank0][pid:10758][MainThread][INFO]][train.py:174] TrainingConfig:
|
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+
TrainingConfig(data=DataParams(train=DatasetSplitParams(datasets=[DatasetParams(dataset_name='HuggingFaceH4/ultrachat_200k',
|
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+
dataset_path=None,
|
5 |
+
subset=None,
|
6 |
+
split='train_sft',
|
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+
dataset_kwargs={},
|
8 |
+
sample_count=None,
|
9 |
+
mixture_proportion=None,
|
10 |
+
shuffle=False,
|
11 |
+
seed=None,
|
12 |
+
shuffle_buffer_size=1000,
|
13 |
+
trust_remote_code=True,
|
14 |
+
transform_num_workers=None)],
|
15 |
+
collator_name=None,
|
16 |
+
pack=False,
|
17 |
+
stream=False,
|
18 |
+
target_col=None,
|
19 |
+
mixture_strategy='first_exhausted',
|
20 |
+
seed=None,
|
21 |
+
use_async_dataset=False,
|
22 |
+
use_torchdata=None),
|
23 |
+
test=DatasetSplitParams(datasets=[],
|
24 |
+
collator_name=None,
|
25 |
+
pack=False,
|
26 |
+
stream=False,
|
27 |
+
target_col=None,
|
28 |
+
mixture_strategy='first_exhausted',
|
29 |
+
seed=None,
|
30 |
+
use_async_dataset=False,
|
31 |
+
use_torchdata=None),
|
32 |
+
validation=DatasetSplitParams(datasets=[],
|
33 |
+
collator_name=None,
|
34 |
+
pack=False,
|
35 |
+
stream=False,
|
36 |
+
target_col=None,
|
37 |
+
mixture_strategy='first_exhausted',
|
38 |
+
seed=None,
|
39 |
+
use_async_dataset=False,
|
40 |
+
use_torchdata=None)),
|
41 |
+
model=ModelParams(model_name='meta-llama/Meta-Llama-3.1-8B',
|
42 |
+
adapter_model=None,
|
43 |
+
tokenizer_name=None,
|
44 |
+
tokenizer_pad_token=None,
|
45 |
+
tokenizer_kwargs={},
|
46 |
+
model_max_length=8192,
|
47 |
+
load_pretrained_weights=True,
|
48 |
+
trust_remote_code=True,
|
49 |
+
torch_dtype_str='bfloat16',
|
50 |
+
compile=False,
|
51 |
+
chat_template='llama3-instruct',
|
52 |
+
attn_implementation='flash_attention_2',
|
53 |
+
device_map='auto',
|
54 |
+
model_kwargs={},
|
55 |
+
enable_liger_kernel=True,
|
56 |
+
shard_for_eval=False,
|
57 |
+
freeze_layers=[]),
|
58 |
+
training=TrainingParams(use_peft=False,
|
59 |
+
trainer_type=<TrainerType.TRL_SFT: 'trl_sft'>,
|
60 |
+
enable_gradient_checkpointing=True,
|
61 |
+
gradient_checkpointing_kwargs={'use_reentrant': False},
|
62 |
+
output_dir='output/llama8b-ultrachat',
|
63 |
+
per_device_train_batch_size=1,
|
64 |
+
per_device_eval_batch_size=8,
|
65 |
+
gradient_accumulation_steps=8,
|
66 |
+
max_steps=-1,
|
67 |
+
num_train_epochs=1,
|
68 |
+
save_epoch=False,
|
69 |
+
save_steps=800,
|
70 |
+
save_final_model=True,
|
71 |
+
seed=42,
|
72 |
+
run_name='llama8b-ultrachat.sky-2025-01-30-21-19-10-053582_sky-e018-bf996_1',
|
73 |
+
metrics_function=None,
|
74 |
+
log_level='info',
|
75 |
+
dep_log_level='warning',
|
76 |
+
enable_wandb=True,
|
77 |
+
enable_tensorboard=True,
|
78 |
+
logging_strategy='steps',
|
79 |
+
logging_dir=None,
|
80 |
+
logging_steps=100,
|
81 |
+
logging_first_step=False,
|
82 |
+
eval_strategy='no',
|
83 |
+
eval_steps=500,
|
84 |
+
learning_rate=2e-05,
|
85 |
+
lr_scheduler_type='linear',
|
86 |
+
lr_scheduler_kwargs={},
|
87 |
+
warmup_ratio=None,
|
88 |
+
warmup_steps=None,
|
89 |
+
optimizer='paged_adamw_8bit',
|
90 |
+
weight_decay=0.0,
|
91 |
+
adam_beta1=0.9,
|
92 |
+
adam_beta2=0.999,
|
93 |
+
adam_epsilon=1e-08,
|
94 |
+
sgd_momentum=0.0,
|
95 |
+
mixed_precision_dtype=<MixedPrecisionDtype.NONE: 'none'>,
|
96 |
+
compile=False,
|
97 |
+
include_performance_metrics=True,
|
98 |
+
include_alternative_mfu_metrics=False,
|
99 |
+
log_model_summary=False,
|
100 |
+
resume_from_checkpoint=None,
|
101 |
+
try_resume_from_last_checkpoint=False,
|
102 |
+
dataloader_num_workers=8,
|
103 |
+
dataloader_prefetch_factor=32,
|
104 |
+
dataloader_main_process_only=None,
|
105 |
+
ddp_find_unused_parameters=False,
|
106 |
+
max_grad_norm=1.0,
|
107 |
+
trainer_kwargs={'max_seq_length': 8192},
|
108 |
+
profiler=ProfilerParams(save_dir=None,
|
109 |
+
enable_cpu_profiling=False,
|
110 |
+
enable_cuda_profiling=False,
|
111 |
+
record_shapes=False,
|
112 |
+
profile_memory=False,
|
113 |
+
with_stack=False,
|
114 |
+
with_flops=False,
|
115 |
+
with_modules=False,
|
116 |
+
row_limit=50,
|
117 |
+
schedule=ProfilerScheduleParams(enable_schedule=False,
|
118 |
+
wait=0,
|
119 |
+
warmup=1,
|
120 |
+
active=3,
|
121 |
+
repeat=1,
|
122 |
+
skip_first=1)),
|
123 |
+
telemetry=TelemetryParams(telemetry_dir='telemetry',
|
124 |
+
collect_telemetry_for_all_ranks=False,
|
125 |
+
track_gpu_temperature=False),
|
126 |
+
empty_device_cache_steps=50,
|
127 |
+
nccl_default_timeout_minutes=None),
|
128 |
+
peft=PeftParams(lora_r=8,
|
129 |
+
lora_alpha=8,
|
130 |
+
lora_dropout=0.0,
|
131 |
+
lora_target_modules=None,
|
132 |
+
lora_modules_to_save=None,
|
133 |
+
lora_bias='none',
|
134 |
+
lora_init_weights=<LoraWeightInitialization.DEFAULT: 'default'>,
|
135 |
+
lora_task_type=<TaskType.CAUSAL_LM: 'CAUSAL_LM'>,
|
136 |
+
q_lora=False,
|
137 |
+
q_lora_bits=4,
|
138 |
+
bnb_4bit_quant_type='fp4',
|
139 |
+
use_bnb_nested_quant=False,
|
140 |
+
bnb_4bit_quant_storage='uint8',
|
141 |
+
bnb_4bit_compute_dtype='float32',
|
142 |
+
peft_save_mode=<PeftSaveMode.ADAPTER_ONLY: 'adapter_only'>),
|
143 |
+
fsdp=FSDPParams(enable_fsdp=False,
|
144 |
+
sharding_strategy=<ShardingStrategy.FULL_SHARD: 'FULL_SHARD'>,
|
145 |
+
cpu_offload=False,
|
146 |
+
mixed_precision=None,
|
147 |
+
backward_prefetch=<BackwardPrefetch.BACKWARD_PRE: 'BACKWARD_PRE'>,
|
148 |
+
forward_prefetch=False,
|
149 |
+
use_orig_params=None,
|
150 |
+
state_dict_type=<StateDictType.FULL_STATE_DICT: 'FULL_STATE_DICT'>,
|
151 |
+
auto_wrap_policy=<AutoWrapPolicy.NO_WRAP: 'NO_WRAP'>,
|
152 |
+
min_num_params=100000,
|
153 |
+
transformer_layer_cls=None,
|
154 |
+
sync_module_states=True))
|
155 |
+
[2025-01-31 02:24:33,489][oumi][rank0][pid:10758][MainThread][WARNING]][models.py:412] Undefined pad token. Setting it to `<|finetune_right_pad_id|>`.
|
156 |
+
[2025-01-31 02:24:33,490][oumi][rank0][pid:10758][MainThread][INFO]][models.py:428] Using the chat template 'llama3-instruct' specified in model config!
|
157 |
+
[2025-01-31 02:24:33,490][oumi][rank0][pid:10758][MainThread][INFO]][models.py:180] Building model for distributed training (world_size: 4)...
|
158 |
+
[2025-01-31 02:24:33,490][oumi][rank0][pid:10758][MainThread][INFO]][models.py:185] Building model using device_map: cuda:0 (DeviceRankInfo(world_size=4, rank=0, local_world_size=4, local_rank=0))...
|
159 |
+
[2025-01-31 02:24:33,490][oumi][rank0][pid:10758][MainThread][INFO]][models.py:255] Using model class: <class 'transformers.models.auto.modeling_auto.AutoModelForCausalLM'> to instantiate model.
|
160 |
+
[2025-01-31 02:24:39,738][oumi][rank0][pid:10758][MainThread][INFO]][base_map_dataset.py:68] Creating map dataset (type: UltrachatH4Dataset) dataset_name: 'HuggingFaceH4/ultrachat_200k', dataset_path: 'None'...
|
161 |
+
[2025-01-31 02:25:29,865][oumi][rank0][pid:10758][MainThread][INFO]][base_map_dataset.py:472] Dataset Info:
|
162 |
+
Split: train_sft
|
163 |
+
Version: 0.0.0
|
164 |
+
Dataset size: 3047427114
|
165 |
+
Download size: 1624049723
|
166 |
+
Size: 4671476837 bytes
|
167 |
+
Rows: 207865
|
168 |
+
Columns: ['prompt', 'prompt_id', 'messages']
|
169 |
+
[2025-01-31 02:25:33,367][oumi][rank0][pid:10758][MainThread][INFO]][base_map_dataset.py:411] Loaded DataFrame with shape: (207865, 3). Columns:
|
170 |
+
prompt object
|
171 |
+
prompt_id object
|
172 |
+
messages object
|
173 |
+
dtype: object
|
174 |
+
[2025-01-31 02:25:33,466][oumi][rank0][pid:10758][MainThread][INFO]][base_map_dataset.py:297] UltrachatH4Dataset: features=dict_keys(['input_ids', 'attention_mask'])
|
175 |
+
[2025-01-31 02:39:30,852][oumi][rank0][pid:10758][MainThread][INFO]][base_map_dataset.py:361] Finished transforming dataset (UltrachatH4Dataset)! Speed: 248.23 examples/sec. Examples: 207865. Duration: 837.4 sec. Transform workers: 1.
|
176 |
+
[2025-01-31 02:39:31,449][oumi][rank0][pid:10758][MainThread][INFO]][torch_profiler_utils.py:150] PROF: Torch Profiler disabled!
|
177 |
+
[2025-01-31 02:39:31,449][oumi][rank0][pid:10758][MainThread][WARNING]][callbacks.py:54] MFU logging requires packed datasets. Skipping MFU callbacks.
|
178 |
+
[2025-01-31 02:39:31,499][oumi][rank0][pid:10758][MainThread][INFO]][training.py:49] SFTConfig(output_dir='output/llama8b-ultrachat',
|
179 |
+
overwrite_output_dir=False,
|
180 |
+
do_train=False,
|
181 |
+
do_eval=False,
|
182 |
+
do_predict=False,
|
183 |
+
eval_strategy=<IntervalStrategy.NO: 'no'>,
|
184 |
+
prediction_loss_only=False,
|
185 |
+
per_device_train_batch_size=1,
|
186 |
+
per_device_eval_batch_size=8,
|
187 |
+
per_gpu_train_batch_size=None,
|
188 |
+
per_gpu_eval_batch_size=None,
|
189 |
+
gradient_accumulation_steps=8,
|
190 |
+
eval_accumulation_steps=None,
|
191 |
+
eval_delay=0,
|
192 |
+
torch_empty_cache_steps=50,
|
193 |
+
learning_rate=2e-05,
|
194 |
+
weight_decay=0.0,
|
195 |
+
adam_beta1=0.9,
|
196 |
+
adam_beta2=0.999,
|
197 |
+
adam_epsilon=1e-08,
|
198 |
+
max_grad_norm=1.0,
|
199 |
+
num_train_epochs=1,
|
200 |
+
max_steps=-1,
|
201 |
+
lr_scheduler_type=<SchedulerType.LINEAR: 'linear'>,
|
202 |
+
lr_scheduler_kwargs={},
|
203 |
+
warmup_ratio=0.0,
|
204 |
+
warmup_steps=0,
|
205 |
+
log_level='warning',
|
206 |
+
log_level_replica='warning',
|
207 |
+
log_on_each_node=True,
|
208 |
+
logging_dir='output/llama8b-ultrachat/runs/Jan31_02-39-31_sky-e018-bf996-370b-head-9t91s4aj-compute',
|
209 |
+
logging_strategy=<IntervalStrategy.STEPS: 'steps'>,
|
210 |
+
logging_first_step=False,
|
211 |
+
logging_steps=100,
|
212 |
+
logging_nan_inf_filter=True,
|
213 |
+
save_strategy=<IntervalStrategy.STEPS: 'steps'>,
|
214 |
+
save_steps=800,
|
215 |
+
save_total_limit=None,
|
216 |
+
save_safetensors=True,
|
217 |
+
save_on_each_node=False,
|
218 |
+
save_only_model=False,
|
219 |
+
restore_callback_states_from_checkpoint=False,
|
220 |
+
no_cuda=False,
|
221 |
+
use_cpu=False,
|
222 |
+
use_mps_device=False,
|
223 |
+
seed=42,
|
224 |
+
data_seed=None,
|
225 |
+
jit_mode_eval=False,
|
226 |
+
use_ipex=False,
|
227 |
+
bf16=False,
|
228 |
+
fp16=False,
|
229 |
+
fp16_opt_level='O1',
|
230 |
+
half_precision_backend='auto',
|
231 |
+
bf16_full_eval=False,
|
232 |
+
fp16_full_eval=False,
|
233 |
+
tf32=None,
|
234 |
+
local_rank=0,
|
235 |
+
ddp_backend=None,
|
236 |
+
tpu_num_cores=None,
|
237 |
+
tpu_metrics_debug=False,
|
238 |
+
debug=[],
|
239 |
+
dataloader_drop_last=False,
|
240 |
+
eval_steps=500,
|
241 |
+
dataloader_num_workers=8,
|
242 |
+
dataloader_prefetch_factor=32,
|
243 |
+
past_index=-1,
|
244 |
+
run_name='llama8b-ultrachat.sky-2025-01-30-21-19-10-053582_sky-e018-bf996_1',
|
245 |
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disable_tqdm=False,
|
246 |
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remove_unused_columns=True,
|
247 |
+
label_names=None,
|
248 |
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load_best_model_at_end=False,
|
249 |
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metric_for_best_model=None,
|
250 |
+
greater_is_better=None,
|
251 |
+
ignore_data_skip=False,
|
252 |
+
fsdp=[],
|
253 |
+
fsdp_min_num_params=0,
|
254 |
+
fsdp_config={'min_num_params': 0,
|
255 |
+
'xla': False,
|
256 |
+
'xla_fsdp_grad_ckpt': False,
|
257 |
+
'xla_fsdp_v2': False},
|
258 |
+
fsdp_transformer_layer_cls_to_wrap=None,
|
259 |
+
accelerator_config=AcceleratorConfig(split_batches=False,
|
260 |
+
dispatch_batches=None,
|
261 |
+
even_batches=True,
|
262 |
+
use_seedable_sampler=True,
|
263 |
+
non_blocking=False,
|
264 |
+
gradient_accumulation_kwargs=None,
|
265 |
+
use_configured_state=False),
|
266 |
+
deepspeed=None,
|
267 |
+
label_smoothing_factor=0.0,
|
268 |
+
optim=<OptimizerNames.PAGED_ADAMW_8BIT: 'paged_adamw_8bit'>,
|
269 |
+
optim_args=None,
|
270 |
+
adafactor=False,
|
271 |
+
group_by_length=False,
|
272 |
+
length_column_name='length',
|
273 |
+
report_to=['wandb', 'tensorboard'],
|
274 |
+
ddp_find_unused_parameters=False,
|
275 |
+
ddp_bucket_cap_mb=None,
|
276 |
+
ddp_broadcast_buffers=None,
|
277 |
+
dataloader_pin_memory=True,
|
278 |
+
dataloader_persistent_workers=False,
|
279 |
+
skip_memory_metrics=True,
|
280 |
+
use_legacy_prediction_loop=False,
|
281 |
+
push_to_hub=False,
|
282 |
+
resume_from_checkpoint=None,
|
283 |
+
hub_model_id=None,
|
284 |
+
hub_strategy=<HubStrategy.EVERY_SAVE: 'every_save'>,
|
285 |
+
hub_token=None,
|
286 |
+
hub_private_repo=False,
|
287 |
+
hub_always_push=False,
|
288 |
+
gradient_checkpointing=True,
|
289 |
+
gradient_checkpointing_kwargs={'use_reentrant': False},
|
290 |
+
include_inputs_for_metrics=False,
|
291 |
+
eval_do_concat_batches=True,
|
292 |
+
fp16_backend='auto',
|
293 |
+
evaluation_strategy=None,
|
294 |
+
push_to_hub_model_id=None,
|
295 |
+
push_to_hub_organization=None,
|
296 |
+
push_to_hub_token=None,
|
297 |
+
mp_parameters='',
|
298 |
+
auto_find_batch_size=False,
|
299 |
+
full_determinism=False,
|
300 |
+
torchdynamo=None,
|
301 |
+
ray_scope='last',
|
302 |
+
ddp_timeout=1800,
|
303 |
+
torch_compile=False,
|
304 |
+
torch_compile_backend=None,
|
305 |
+
torch_compile_mode=None,
|
306 |
+
dispatch_batches=None,
|
307 |
+
split_batches=None,
|
308 |
+
include_tokens_per_second=True,
|
309 |
+
include_num_input_tokens_seen=True,
|
310 |
+
neftune_noise_alpha=None,
|
311 |
+
optim_target_modules=None,
|
312 |
+
batch_eval_metrics=False,
|
313 |
+
eval_on_start=False,
|
314 |
+
use_liger_kernel=False,
|
315 |
+
eval_use_gather_object=False,
|
316 |
+
dataset_text_field=None,
|
317 |
+
packing=False,
|
318 |
+
max_seq_length=8192,
|
319 |
+
dataset_num_proc=None,
|
320 |
+
dataset_batch_size=1000,
|
321 |
+
model_init_kwargs=None,
|
322 |
+
dataset_kwargs=None,
|
323 |
+
eval_packing=None,
|
324 |
+
num_of_sequences=1024,
|
325 |
+
chars_per_token=3.6,
|
326 |
+
use_liger=False)
|
327 |
+
[2025-01-31 02:39:31,564][oumi][rank0][pid:10758][MainThread][INFO]][device_utils.py:283] GPU Metrics Before Training: GPU runtime info: NVidiaGpuRuntimeInfo(device_index=0, device_count=4, used_memory_mb=19007.0, temperature=35, fan_speed=None, fan_speeds=None, power_usage_watts=78.83800000000001, power_limit_watts=400.0, gpu_utilization=0, memory_utilization=0, performance_state=0, clock_speed_graphics=1155, clock_speed_sm=1155, clock_speed_memory=1593).
|
328 |
+
[2025-01-31 02:39:31,568][oumi][rank0][pid:10758][MainThread][INFO]][train.py:312] Training init time: 901.293s
|
329 |
+
[2025-01-31 02:39:31,568][oumi][rank0][pid:10758][MainThread][INFO]][train.py:313] Starting training... (TrainerType.TRL_SFT, transformers: 4.45.2)
|
330 |
+
[2025-01-31 13:18:45,137][oumi][rank0][pid:10758][MainThread][INFO]][device_utils.py:283] On epoch end: GPU runtime info: NVidiaGpuRuntimeInfo(device_index=0, device_count=4, used_memory_mb=69213.0, temperature=42, fan_speed=None, fan_speeds=None, power_usage_watts=78.479, power_limit_watts=400.0, gpu_utilization=2, memory_utilization=0, performance_state=0, clock_speed_graphics=1155, clock_speed_sm=1155, clock_speed_memory=1593).
|
331 |
+
[2025-01-31 13:18:45,419][oumi][rank0][pid:10758][MainThread][INFO]][telemetry_callback.py:228] Saving telemetry callback summary to output/llama8b-ultrachat/telemetry/telemetry_callback_rank0000.json...
|
332 |
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[2025-01-31 13:18:45,420][oumi][rank0][pid:10758][MainThread][INFO]][train.py:320] Training is Complete.
|
333 |
+
[2025-01-31 13:18:45,428][oumi][rank0][pid:10758][MainThread][INFO]][device_utils.py:283] GPU Metrics After Training: GPU runtime info: NVidiaGpuRuntimeInfo(device_index=0, device_count=4, used_memory_mb=69213.0, temperature=42, fan_speed=None, fan_speeds=None, power_usage_watts=79.107, power_limit_watts=400.0, gpu_utilization=0, memory_utilization=0, performance_state=0, clock_speed_graphics=1155, clock_speed_sm=1155, clock_speed_memory=1593).
|
334 |
+
[2025-01-31 13:18:45,428][oumi][rank0][pid:10758][MainThread][INFO]][torch_utils.py:117] Peak GPU memory usage: 47.39 GB
|
335 |
+
[2025-01-31 13:18:45,429][oumi][rank0][pid:10758][MainThread][INFO]][train.py:327] Saving final state...
|
336 |
+
[2025-01-31 13:18:45,431][oumi][rank0][pid:10758][MainThread][INFO]][train.py:332] Saving final model...
|
337 |
+
[2025-01-31 13:19:20,486][oumi][rank0][pid:10758][MainThread][INFO]][hf_trainer.py:102] Model has been saved at output/llama8b-ultrachat
|
338 |
+
[2025-01-31 13:19:21,037][oumi][rank0][pid:10758][MainThread][INFO]][train.py:339]
|
339 |
+
|
340 |
+
» We're always looking for feedback. What's one thing we can improve? https://oumi.ai/feedback
|
logs/rank_0001.log
ADDED
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+
[2025-01-31 02:24:32,070][oumi][rank1][pid:10759][MainThread][INFO]][train.py:144] Resolved 'training.dataloader_num_workers=auto' to 'training.dataloader_num_workers=8'
|
2 |
+
[2025-01-31 02:24:33,144][oumi][rank1][pid:10759][MainThread][WARNING]][models.py:412] Undefined pad token. Setting it to `<|finetune_right_pad_id|>`.
|
3 |
+
[2025-01-31 02:24:33,145][oumi][rank1][pid:10759][MainThread][INFO]][models.py:428] Using the chat template 'llama3-instruct' specified in model config!
|
4 |
+
[2025-01-31 02:24:33,145][oumi][rank1][pid:10759][MainThread][INFO]][models.py:180] Building model for distributed training (world_size: 4)...
|
5 |
+
[2025-01-31 02:24:33,145][oumi][rank1][pid:10759][MainThread][INFO]][models.py:185] Building model using device_map: cuda:1 (DeviceRankInfo(world_size=4, rank=1, local_world_size=4, local_rank=1))...
|
6 |
+
[2025-01-31 02:24:33,145][oumi][rank1][pid:10759][MainThread][INFO]][models.py:255] Using model class: <class 'transformers.models.auto.modeling_auto.AutoModelForCausalLM'> to instantiate model.
|
7 |
+
[2025-01-31 02:24:39,500][oumi][rank1][pid:10759][MainThread][INFO]][base_map_dataset.py:68] Creating map dataset (type: UltrachatH4Dataset) dataset_name: 'HuggingFaceH4/ultrachat_200k', dataset_path: 'None'...
|
8 |
+
[2025-01-31 02:25:29,916][oumi][rank1][pid:10759][MainThread][INFO]][base_map_dataset.py:472] Dataset Info:
|
9 |
+
Split: train_sft
|
10 |
+
Version: 0.0.0
|
11 |
+
Dataset size: 3047427114
|
12 |
+
Download size: 1624049723
|
13 |
+
Size: 4671476837 bytes
|
14 |
+
Rows: 207865
|
15 |
+
Columns: ['prompt', 'prompt_id', 'messages']
|
16 |
+
[2025-01-31 02:25:33,428][oumi][rank1][pid:10759][MainThread][INFO]][base_map_dataset.py:411] Loaded DataFrame with shape: (207865, 3). Columns:
|
17 |
+
prompt object
|
18 |
+
prompt_id object
|
19 |
+
messages object
|
20 |
+
dtype: object
|
21 |
+
[2025-01-31 02:25:33,526][oumi][rank1][pid:10759][MainThread][INFO]][base_map_dataset.py:297] UltrachatH4Dataset: features=dict_keys(['input_ids', 'attention_mask'])
|
22 |
+
[2025-01-31 02:39:30,837][oumi][rank1][pid:10759][MainThread][INFO]][base_map_dataset.py:361] Finished transforming dataset (UltrachatH4Dataset)! Speed: 248.25 examples/sec. Examples: 207865. Duration: 837.3 sec. Transform workers: 1.
|
23 |
+
[2025-01-31 02:39:31,439][oumi][rank1][pid:10759][MainThread][INFO]][torch_profiler_utils.py:150] PROF: Torch Profiler disabled!
|
24 |
+
[2025-01-31 02:39:31,440][oumi][rank1][pid:10759][MainThread][WARNING]][callbacks.py:54] MFU logging requires packed datasets. Skipping MFU callbacks.
|
25 |
+
[2025-01-31 02:39:31,567][oumi][rank1][pid:10759][MainThread][INFO]][device_utils.py:283] GPU Metrics Before Training: GPU runtime info: NVidiaGpuRuntimeInfo(device_index=0, device_count=4, used_memory_mb=19007.0, temperature=35, fan_speed=None, fan_speeds=None, power_usage_watts=78.83800000000001, power_limit_watts=400.0, gpu_utilization=0, memory_utilization=0, performance_state=0, clock_speed_graphics=1155, clock_speed_sm=1155, clock_speed_memory=1593).
|
26 |
+
[2025-01-31 02:39:31,568][oumi][rank1][pid:10759][MainThread][INFO]][train.py:312] Training init time: 901.293s
|
27 |
+
[2025-01-31 02:39:31,568][oumi][rank1][pid:10759][MainThread][INFO]][train.py:313] Starting training... (TrainerType.TRL_SFT, transformers: 4.45.2)
|
28 |
+
[2025-01-31 13:18:45,140][oumi][rank1][pid:10759][MainThread][INFO]][train.py:320] Training is Complete.
|
29 |
+
[2025-01-31 13:18:45,163][oumi][rank1][pid:10759][MainThread][INFO]][device_utils.py:283] GPU Metrics After Training: GPU runtime info: NVidiaGpuRuntimeInfo(device_index=0, device_count=4, used_memory_mb=69213.0, temperature=42, fan_speed=None, fan_speeds=None, power_usage_watts=78.479, power_limit_watts=400.0, gpu_utilization=2, memory_utilization=0, performance_state=0, clock_speed_graphics=1155, clock_speed_sm=1155, clock_speed_memory=1593).
|
30 |
+
[2025-01-31 13:18:45,163][oumi][rank1][pid:10759][MainThread][INFO]][torch_utils.py:117] Peak GPU memory usage: 47.39 GB
|
31 |
+
[2025-01-31 13:18:45,163][oumi][rank1][pid:10759][MainThread][INFO]][train.py:327] Saving final state...
|
32 |
+
[2025-01-31 13:18:45,431][oumi][rank1][pid:10759][MainThread][INFO]][train.py:332] Saving final model...
|
33 |
+
[2025-01-31 13:19:21,038][oumi][rank1][pid:10759][MainThread][INFO]][train.py:339]
|
34 |
+
|
35 |
+
» We're always looking for feedback. What's one thing we can improve? https://oumi.ai/feedback
|
logs/rank_0002.log
ADDED
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+
[2025-01-31 02:24:32,067][oumi][rank2][pid:10760][MainThread][INFO]][train.py:144] Resolved 'training.dataloader_num_workers=auto' to 'training.dataloader_num_workers=8'
|
2 |
+
[2025-01-31 02:24:33,575][oumi][rank2][pid:10760][MainThread][WARNING]][models.py:412] Undefined pad token. Setting it to `<|finetune_right_pad_id|>`.
|
3 |
+
[2025-01-31 02:24:33,576][oumi][rank2][pid:10760][MainThread][INFO]][models.py:428] Using the chat template 'llama3-instruct' specified in model config!
|
4 |
+
[2025-01-31 02:24:33,577][oumi][rank2][pid:10760][MainThread][INFO]][models.py:180] Building model for distributed training (world_size: 4)...
|
5 |
+
[2025-01-31 02:24:33,577][oumi][rank2][pid:10760][MainThread][INFO]][models.py:185] Building model using device_map: cuda:2 (DeviceRankInfo(world_size=4, rank=2, local_world_size=4, local_rank=2))...
|
6 |
+
[2025-01-31 02:24:33,577][oumi][rank2][pid:10760][MainThread][INFO]][models.py:255] Using model class: <class 'transformers.models.auto.modeling_auto.AutoModelForCausalLM'> to instantiate model.
|
7 |
+
[2025-01-31 02:24:39,627][oumi][rank2][pid:10760][MainThread][INFO]][base_map_dataset.py:68] Creating map dataset (type: UltrachatH4Dataset) dataset_name: 'HuggingFaceH4/ultrachat_200k', dataset_path: 'None'...
|
8 |
+
[2025-01-31 02:25:29,815][oumi][rank2][pid:10760][MainThread][INFO]][base_map_dataset.py:472] Dataset Info:
|
9 |
+
Split: train_sft
|
10 |
+
Version: 0.0.0
|
11 |
+
Dataset size: 3047427114
|
12 |
+
Download size: 1624049723
|
13 |
+
Size: 4671476837 bytes
|
14 |
+
Rows: 207865
|
15 |
+
Columns: ['prompt', 'prompt_id', 'messages']
|
16 |
+
[2025-01-31 02:25:33,393][oumi][rank2][pid:10760][MainThread][INFO]][base_map_dataset.py:411] Loaded DataFrame with shape: (207865, 3). Columns:
|
17 |
+
prompt object
|
18 |
+
prompt_id object
|
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messages object
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dtype: object
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+
[2025-01-31 02:25:33,490][oumi][rank2][pid:10760][MainThread][INFO]][base_map_dataset.py:297] UltrachatH4Dataset: features=dict_keys(['input_ids', 'attention_mask'])
|
22 |
+
[2025-01-31 02:39:30,854][oumi][rank2][pid:10760][MainThread][INFO]][base_map_dataset.py:361] Finished transforming dataset (UltrachatH4Dataset)! Speed: 248.24 examples/sec. Examples: 207865. Duration: 837.4 sec. Transform workers: 1.
|
23 |
+
[2025-01-31 02:39:31,470][oumi][rank2][pid:10760][MainThread][INFO]][torch_profiler_utils.py:150] PROF: Torch Profiler disabled!
|
24 |
+
[2025-01-31 02:39:31,471][oumi][rank2][pid:10760][MainThread][WARNING]][callbacks.py:54] MFU logging requires packed datasets. Skipping MFU callbacks.
|
25 |
+
[2025-01-31 02:39:31,566][oumi][rank2][pid:10760][MainThread][INFO]][device_utils.py:283] GPU Metrics Before Training: GPU runtime info: NVidiaGpuRuntimeInfo(device_index=0, device_count=4, used_memory_mb=19007.0, temperature=35, fan_speed=None, fan_speeds=None, power_usage_watts=78.83800000000001, power_limit_watts=400.0, gpu_utilization=0, memory_utilization=0, performance_state=0, clock_speed_graphics=1155, clock_speed_sm=1155, clock_speed_memory=1593).
|
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[2025-01-31 02:39:31,568][oumi][rank2][pid:10760][MainThread][INFO]][train.py:312] Training init time: 901.293s
|
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[2025-01-31 02:39:31,568][oumi][rank2][pid:10760][MainThread][INFO]][train.py:313] Starting training... (TrainerType.TRL_SFT, transformers: 4.45.2)
|
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[2025-01-31 13:18:45,140][oumi][rank2][pid:10760][MainThread][INFO]][train.py:320] Training is Complete.
|
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[2025-01-31 13:18:45,163][oumi][rank2][pid:10760][MainThread][INFO]][device_utils.py:283] GPU Metrics After Training: GPU runtime info: NVidiaGpuRuntimeInfo(device_index=0, device_count=4, used_memory_mb=69213.0, temperature=42, fan_speed=None, fan_speeds=None, power_usage_watts=78.479, power_limit_watts=400.0, gpu_utilization=2, memory_utilization=0, performance_state=0, clock_speed_graphics=1155, clock_speed_sm=1155, clock_speed_memory=1593).
|
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+
[2025-01-31 13:18:45,163][oumi][rank2][pid:10760][MainThread][INFO]][torch_utils.py:117] Peak GPU memory usage: 47.38 GB
|
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+
[2025-01-31 13:18:45,163][oumi][rank2][pid:10760][MainThread][INFO]][train.py:327] Saving final state...
|
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+
[2025-01-31 13:18:45,431][oumi][rank2][pid:10760][MainThread][INFO]][train.py:332] Saving final model...
|
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+
[2025-01-31 13:19:21,040][oumi][rank2][pid:10760][MainThread][INFO]][train.py:339]
|
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+
|
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+
» We're always looking for feedback. What's one thing we can improve? https://oumi.ai/feedback
|
logs/rank_0003.log
ADDED
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[2025-01-31 02:24:32,068][oumi][rank3][pid:10761][MainThread][INFO]][train.py:144] Resolved 'training.dataloader_num_workers=auto' to 'training.dataloader_num_workers=8'
|
2 |
+
[2025-01-31 02:24:33,035][oumi][rank3][pid:10761][MainThread][WARNING]][models.py:412] Undefined pad token. Setting it to `<|finetune_right_pad_id|>`.
|
3 |
+
[2025-01-31 02:24:33,036][oumi][rank3][pid:10761][MainThread][INFO]][models.py:428] Using the chat template 'llama3-instruct' specified in model config!
|
4 |
+
[2025-01-31 02:24:33,036][oumi][rank3][pid:10761][MainThread][INFO]][models.py:180] Building model for distributed training (world_size: 4)...
|
5 |
+
[2025-01-31 02:24:33,036][oumi][rank3][pid:10761][MainThread][INFO]][models.py:185] Building model using device_map: cuda:3 (DeviceRankInfo(world_size=4, rank=3, local_world_size=4, local_rank=3))...
|
6 |
+
[2025-01-31 02:24:33,036][oumi][rank3][pid:10761][MainThread][INFO]][models.py:255] Using model class: <class 'transformers.models.auto.modeling_auto.AutoModelForCausalLM'> to instantiate model.
|
7 |
+
[2025-01-31 02:24:39,641][oumi][rank3][pid:10761][MainThread][INFO]][base_map_dataset.py:68] Creating map dataset (type: UltrachatH4Dataset) dataset_name: 'HuggingFaceH4/ultrachat_200k', dataset_path: 'None'...
|
8 |
+
[2025-01-31 02:25:29,800][oumi][rank3][pid:10761][MainThread][INFO]][base_map_dataset.py:472] Dataset Info:
|
9 |
+
Split: train_sft
|
10 |
+
Version: 0.0.0
|
11 |
+
Dataset size: 3047427114
|
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Download size: 1624049723
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Size: 4671476837 bytes
|
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Rows: 207865
|
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Columns: ['prompt', 'prompt_id', 'messages']
|
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+
[2025-01-31 02:25:33,301][oumi][rank3][pid:10761][MainThread][INFO]][base_map_dataset.py:411] Loaded DataFrame with shape: (207865, 3). Columns:
|
17 |
+
prompt object
|
18 |
+
prompt_id object
|
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+
messages object
|
20 |
+
dtype: object
|
21 |
+
[2025-01-31 02:25:33,411][oumi][rank3][pid:10761][MainThread][INFO]][base_map_dataset.py:297] UltrachatH4Dataset: features=dict_keys(['input_ids', 'attention_mask'])
|
22 |
+
[2025-01-31 02:39:30,856][oumi][rank3][pid:10761][MainThread][INFO]][base_map_dataset.py:361] Finished transforming dataset (UltrachatH4Dataset)! Speed: 248.21 examples/sec. Examples: 207865. Duration: 837.4 sec. Transform workers: 1.
|
23 |
+
[2025-01-31 02:39:31,453][oumi][rank3][pid:10761][MainThread][INFO]][torch_profiler_utils.py:150] PROF: Torch Profiler disabled!
|
24 |
+
[2025-01-31 02:39:31,454][oumi][rank3][pid:10761][MainThread][WARNING]][callbacks.py:54] MFU logging requires packed datasets. Skipping MFU callbacks.
|
25 |
+
[2025-01-31 02:39:31,566][oumi][rank3][pid:10761][MainThread][INFO]][device_utils.py:283] GPU Metrics Before Training: GPU runtime info: NVidiaGpuRuntimeInfo(device_index=0, device_count=4, used_memory_mb=19007.0, temperature=35, fan_speed=None, fan_speeds=None, power_usage_watts=78.83800000000001, power_limit_watts=400.0, gpu_utilization=0, memory_utilization=0, performance_state=0, clock_speed_graphics=1155, clock_speed_sm=1155, clock_speed_memory=1593).
|
26 |
+
[2025-01-31 02:39:31,568][oumi][rank3][pid:10761][MainThread][INFO]][train.py:312] Training init time: 901.293s
|
27 |
+
[2025-01-31 02:39:31,568][oumi][rank3][pid:10761][MainThread][INFO]][train.py:313] Starting training... (TrainerType.TRL_SFT, transformers: 4.45.2)
|
28 |
+
[2025-01-31 13:18:45,140][oumi][rank3][pid:10761][MainThread][INFO]][train.py:320] Training is Complete.
|
29 |
+
[2025-01-31 13:18:45,163][oumi][rank3][pid:10761][MainThread][INFO]][device_utils.py:283] GPU Metrics After Training: GPU runtime info: NVidiaGpuRuntimeInfo(device_index=0, device_count=4, used_memory_mb=69213.0, temperature=42, fan_speed=None, fan_speeds=None, power_usage_watts=78.479, power_limit_watts=400.0, gpu_utilization=2, memory_utilization=0, performance_state=0, clock_speed_graphics=1155, clock_speed_sm=1155, clock_speed_memory=1593).
|
30 |
+
[2025-01-31 13:18:45,163][oumi][rank3][pid:10761][MainThread][INFO]][torch_utils.py:117] Peak GPU memory usage: 47.51 GB
|
31 |
+
[2025-01-31 13:18:45,163][oumi][rank3][pid:10761][MainThread][INFO]][train.py:327] Saving final state...
|
32 |
+
[2025-01-31 13:18:45,431][oumi][rank3][pid:10761][MainThread][INFO]][train.py:332] Saving final model...
|
33 |
+
[2025-01-31 13:19:21,035][oumi][rank3][pid:10761][MainThread][INFO]][train.py:339]
|
34 |
+
|
35 |
+
» We're always looking for feedback. What's one thing we can improve? https://oumi.ai/feedback
|
model-00001-of-00004.safetensors
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lr_scheduler_type: linear
|
92 |
+
lr_scheduler_kwargs: {}
|
93 |
+
warmup_ratio: null
|
94 |
+
warmup_steps: null
|
95 |
+
optimizer: paged_adamw_8bit
|
96 |
+
weight_decay: 0.0
|
97 |
+
adam_beta1: 0.9
|
98 |
+
adam_beta2: 0.999
|
99 |
+
adam_epsilon: 1.0e-08
|
100 |
+
sgd_momentum: 0.0
|
101 |
+
mixed_precision_dtype: NONE
|
102 |
+
compile: false
|
103 |
+
include_performance_metrics: true
|
104 |
+
include_alternative_mfu_metrics: false
|
105 |
+
log_model_summary: false
|
106 |
+
resume_from_checkpoint: null
|
107 |
+
try_resume_from_last_checkpoint: false
|
108 |
+
dataloader_num_workers: 8
|
109 |
+
dataloader_prefetch_factor: 32
|
110 |
+
dataloader_main_process_only: null
|
111 |
+
ddp_find_unused_parameters: false
|
112 |
+
max_grad_norm: 1.0
|
113 |
+
trainer_kwargs:
|
114 |
+
max_seq_length: 8192
|
115 |
+
profiler:
|
116 |
+
save_dir: null
|
117 |
+
enable_cpu_profiling: false
|
118 |
+
enable_cuda_profiling: false
|
119 |
+
record_shapes: false
|
120 |
+
profile_memory: false
|
121 |
+
with_stack: false
|
122 |
+
with_flops: false
|
123 |
+
with_modules: false
|
124 |
+
row_limit: 50
|
125 |
+
schedule:
|
126 |
+
enable_schedule: false
|
127 |
+
wait: 0
|
128 |
+
warmup: 1
|
129 |
+
active: 3
|
130 |
+
repeat: 1
|
131 |
+
skip_first: 1
|
132 |
+
telemetry:
|
133 |
+
telemetry_dir: telemetry
|
134 |
+
collect_telemetry_for_all_ranks: false
|
135 |
+
track_gpu_temperature: false
|
136 |
+
empty_device_cache_steps: 50
|
137 |
+
nccl_default_timeout_minutes: null
|
138 |
+
peft:
|
139 |
+
lora_r: 8
|
140 |
+
lora_alpha: 8
|
141 |
+
lora_dropout: 0.0
|
142 |
+
lora_target_modules: null
|
143 |
+
lora_modules_to_save: null
|
144 |
+
lora_bias: none
|
145 |
+
lora_init_weights: DEFAULT
|
146 |
+
lora_task_type: CAUSAL_LM
|
147 |
+
q_lora: false
|
148 |
+
q_lora_bits: 4
|
149 |
+
bnb_4bit_quant_type: fp4
|
150 |
+
use_bnb_nested_quant: false
|
151 |
+
bnb_4bit_quant_storage: uint8
|
152 |
+
bnb_4bit_compute_dtype: float32
|
153 |
+
peft_save_mode: ADAPTER_ONLY
|
154 |
+
fsdp:
|
155 |
+
enable_fsdp: false
|
156 |
+
sharding_strategy: FULL_SHARD
|
157 |
+
cpu_offload: false
|
158 |
+
mixed_precision: null
|
159 |
+
backward_prefetch: BACKWARD_PRE
|
160 |
+
forward_prefetch: false
|
161 |
+
use_orig_params: null
|
162 |
+
state_dict_type: FULL_STATE_DICT
|
163 |
+
auto_wrap_policy: NO_WRAP
|
164 |
+
min_num_params: 100000
|
165 |
+
transformer_layer_cls: null
|
166 |
+
sync_module_states: true
|
telemetry/world_size.json
ADDED
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"LOCAL_WORLD_SIZE": 4,
|
3 |
+
"WORLD_SIZE": 4
|
4 |
+
}
|
tokenizer.json
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:cb956fd3e742594d4410fdb86df5edf0c1b0f1f382117a2fbd877f2372ec158d
|
3 |
+
size 17210019
|
tokenizer_config.json
ADDED
@@ -0,0 +1,2063 @@
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|
1 |
+
{
|
2 |
+
"added_tokens_decoder": {
|
3 |
+
"128000": {
|
4 |
+
"content": "<|begin_of_text|>",
|
5 |
+
"lstrip": false,
|
6 |
+
"normalized": false,
|
7 |
+
"rstrip": false,
|
8 |
+
"single_word": false,
|
9 |
+
"special": true
|
10 |
+
},
|
11 |
+
"128001": {
|
12 |
+
"content": "<|end_of_text|>",
|
13 |
+
"lstrip": false,
|
14 |
+
"normalized": false,
|
15 |
+
"rstrip": false,
|
16 |
+
"single_word": false,
|
17 |
+
"special": true
|
18 |
+
},
|
19 |
+
"128002": {
|
20 |
+
"content": "<|reserved_special_token_0|>",
|
21 |
+
"lstrip": false,
|
22 |
+
"normalized": false,
|
23 |
+
"rstrip": false,
|
24 |
+
"single_word": false,
|
25 |
+
"special": true
|
26 |
+
},
|
27 |
+
"128003": {
|
28 |
+
"content": "<|reserved_special_token_1|>",
|
29 |
+
"lstrip": false,
|
30 |
+
"normalized": false,
|
31 |
+
"rstrip": false,
|
32 |
+
"single_word": false,
|
33 |
+
"special": true
|
34 |
+
},
|
35 |
+
"128004": {
|
36 |
+
"content": "<|finetune_right_pad_id|>",
|
37 |
+
"lstrip": false,
|
38 |
+
"normalized": false,
|
39 |
+
"rstrip": false,
|
40 |
+
"single_word": false,
|
41 |
+
"special": true
|
42 |
+
},
|
43 |
+
"128005": {
|
44 |
+
"content": "<|reserved_special_token_2|>",
|
45 |
+
"lstrip": false,
|
46 |
+
"normalized": false,
|
47 |
+
"rstrip": false,
|
48 |
+
"single_word": false,
|
49 |
+
"special": true
|
50 |
+
},
|
51 |
+
"128006": {
|
52 |
+
"content": "<|start_header_id|>",
|
53 |
+
"lstrip": false,
|
54 |
+
"normalized": false,
|
55 |
+
"rstrip": false,
|
56 |
+
"single_word": false,
|
57 |
+
"special": true
|
58 |
+
},
|
59 |
+
"128007": {
|
60 |
+
"content": "<|end_header_id|>",
|
61 |
+
"lstrip": false,
|
62 |
+
"normalized": false,
|
63 |
+
"rstrip": false,
|
64 |
+
"single_word": false,
|
65 |
+
"special": true
|
66 |
+
},
|
67 |
+
"128008": {
|
68 |
+
"content": "<|eom_id|>",
|
69 |
+
"lstrip": false,
|
70 |
+
"normalized": false,
|
71 |
+
"rstrip": false,
|
72 |
+
"single_word": false,
|
73 |
+
"special": true
|
74 |
+
},
|
75 |
+
"128009": {
|
76 |
+
"content": "<|eot_id|>",
|
77 |
+
"lstrip": false,
|
78 |
+
"normalized": false,
|
79 |
+
"rstrip": false,
|
80 |
+
"single_word": false,
|
81 |
+
"special": true
|
82 |
+
},
|
83 |
+
"128010": {
|
84 |
+
"content": "<|python_tag|>",
|
85 |
+
"lstrip": false,
|
86 |
+
"normalized": false,
|
87 |
+
"rstrip": false,
|
88 |
+
"single_word": false,
|
89 |
+
"special": true
|
90 |
+
},
|
91 |
+
"128011": {
|
92 |
+
"content": "<|reserved_special_token_3|>",
|
93 |
+
"lstrip": false,
|
94 |
+
"normalized": false,
|
95 |
+
"rstrip": false,
|
96 |
+
"single_word": false,
|
97 |
+
"special": true
|
98 |
+
},
|
99 |
+
"128012": {
|
100 |
+
"content": "<|reserved_special_token_4|>",
|
101 |
+
"lstrip": false,
|
102 |
+
"normalized": false,
|
103 |
+
"rstrip": false,
|
104 |
+
"single_word": false,
|
105 |
+
"special": true
|
106 |
+
},
|
107 |
+
"128013": {
|
108 |
+
"content": "<|reserved_special_token_5|>",
|
109 |
+
"lstrip": false,
|
110 |
+
"normalized": false,
|
111 |
+
"rstrip": false,
|
112 |
+
"single_word": false,
|
113 |
+
"special": true
|
114 |
+
},
|
115 |
+
"128014": {
|
116 |
+
"content": "<|reserved_special_token_6|>",
|
117 |
+
"lstrip": false,
|
118 |
+
"normalized": false,
|
119 |
+
"rstrip": false,
|
120 |
+
"single_word": false,
|
121 |
+
"special": true
|
122 |
+
},
|
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|
1871 |
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|
1872 |
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|
1873 |
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|
1874 |
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|
1875 |
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"128234": {
|
1876 |
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"content": "<|reserved_special_token_226|>",
|
1877 |
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|
1878 |
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|
1879 |
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|
1880 |
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|
1881 |
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|
1882 |
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|
1883 |
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"128235": {
|
1884 |
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"content": "<|reserved_special_token_227|>",
|
1885 |
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|
1886 |
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|
1887 |
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|
1888 |
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|
1889 |
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|
1890 |
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|
1891 |
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"128236": {
|
1892 |
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"content": "<|reserved_special_token_228|>",
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1893 |
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|
1894 |
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|
1895 |
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|
1896 |
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|
1897 |
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|
1898 |
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1899 |
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|
1900 |
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1901 |
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1903 |
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|
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1905 |
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1907 |
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"128238": {
|
1908 |
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1909 |
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1910 |
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|
1911 |
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1912 |
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|
1913 |
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|
1914 |
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1915 |
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|
1916 |
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1917 |
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|
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1920 |
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1921 |
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1923 |
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1924 |
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1931 |
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|
1932 |
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1955 |
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1956 |
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|
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|
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|
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|
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|
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|
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1995 |
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|
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|
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|
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|
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"128250": {
|
2004 |
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"content": "<|reserved_special_token_242|>",
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|
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|
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|
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|
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|
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|
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|
2012 |
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|
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|
2016 |
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|
2017 |
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|
2018 |
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|
2019 |
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"128252": {
|
2020 |
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"content": "<|reserved_special_token_244|>",
|
2021 |
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|
2022 |
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2023 |
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|
2024 |
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|
2025 |
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|
2026 |
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2027 |
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|
2028 |
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2029 |
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|
2030 |
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|
2031 |
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|
2032 |
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|
2033 |
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|
2034 |
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|
2035 |
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"128254": {
|
2036 |
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2037 |
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|
2038 |
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|
2039 |
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|
2040 |
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|
2041 |
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|
2042 |
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2043 |
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|
2044 |
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|
2045 |
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|
2046 |
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|
2047 |
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|
2048 |
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|
2049 |
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|
2050 |
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}
|
2051 |
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},
|
2052 |
+
"bos_token": "<|begin_of_text|>",
|
2053 |
+
"chat_template": "{% set role_prefix = '<|start_header_id|>' %}{% set role_suffix = '<|end_header_id|>\\n\\n' %}{% set turn_suffix = '<|eot_id|>' %}{% set image_token = '<|image|>' %}{{ bos_token }}{%- for message in messages -%}{{ role_prefix + message['role'] + role_suffix }}{%- if message['content'] is string -%}{{ message['content'] | trim }}{%- elif message['content'] is iterable -%}{%- for content in message['content'] -%}{%- if content['type'] == 'text' -%}{{ content['content'] | trim }}{%- elif content['type'].startswith('image') -%}{{ image_token }}{%- endif -%}{%- endfor -%}{%- endif -%}{{ turn_suffix + '\\n' }}{%- endfor -%}{%- if add_generation_prompt -%}{{ role_prefix + 'assistant' + role_suffix }}{%- endif -%}",
|
2054 |
+
"clean_up_tokenization_spaces": true,
|
2055 |
+
"eos_token": "<|end_of_text|>",
|
2056 |
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"model_input_names": [
|
2057 |
+
"input_ids",
|
2058 |
+
"attention_mask"
|
2059 |
+
],
|
2060 |
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"model_max_length": 8192,
|
2061 |
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"pad_token": "<|finetune_right_pad_id|>",
|
2062 |
+
"tokenizer_class": "PreTrainedTokenizerFast"
|
2063 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,556 @@
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1 |
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{
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{
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{
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