End of training

README.md

@@ -14,101 +14,6 @@ model-index:
 should probably proofread and complete it, then remove this comment. -->
 
 [<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
-<details><summary>See axolotl config</summary>
-
-axolotl version: `0.4.1`
-```yaml
-adapter: lora
-base_model: unsloth/Mistral-Nemo-Instruct-2407
-bf16: auto
-chat_template: llama3
-dataset_prepared_path: null
-datasets:
-- data_files:
-  - 964654e817cd6286_train_data.json
-  ds_type: json
-  format: custom
-  path: /workspace/input_data/964654e817cd6286_train_data.json
-  type:
-    field_instruction: prompt
-    field_output: text
-    format: '{instruction}'
-    no_input_format: '{instruction}'
-    system_format: '{system}'
-    system_prompt: ''
-debug: null
-deepspeed: null
-device_map: auto
-do_eval: true
-early_stopping_patience: 2
-eval_batch_size: 4
-eval_max_new_tokens: 128
-eval_steps: 150
-eval_table_size: null
-evals_per_epoch: null
-flash_attention: true
-fp16: false
-fsdp: null
-fsdp_config: null
-gradient_accumulation_steps: 4
-gradient_checkpointing: false
-group_by_length: true
-hub_model_id: baby-dev/73b25e66-016c-4e72-b14a-6d44193e7dab
-hub_repo: null
-hub_strategy: end
-hub_token: null
-learning_rate: 0.0002
-load_in_4bit: false
-load_in_8bit: false
-local_rank: null
-logging_steps: 50
-lora_alpha: 64
-lora_dropout: 0.05
-lora_fan_in_fan_out: null
-lora_model_dir: null
-lora_r: 32
-lora_target_linear: true
-lr_scheduler: constant
-max_grad_norm: 1.0
-max_memory:
-  0: 75GB
-max_steps: 4898
-micro_batch_size: 4
-mlflow_experiment_name: /tmp/964654e817cd6286_train_data.json
-model_type: AutoModelForCausalLM
-num_epochs: 10
-optim_args:
-  adam_beta1: 0.9
-  adam_beta2: 0.95
-  adam_epsilon: 1e-5
-optimizer: adamw_bnb_8bit
-output_dir: miner_id_24
-pad_to_sequence_len: true
-resume_from_checkpoint: null
-s2_attention: null
-sample_packing: false
-save_steps: 150
-saves_per_epoch: null
-sequence_len: 512
-strict: false
-tf32: true
-tokenizer_type: AutoTokenizer
-train_on_inputs: false
-trust_remote_code: true
-val_set_size: 0.05
-wandb_entity: null
-wandb_mode: online
-wandb_name: 55ef476f-abbc-4a55-8a7c-e23d354f83dc
-wandb_project: SN56-41
-wandb_run: your_name
-wandb_runid: 55ef476f-abbc-4a55-8a7c-e23d354f83dc
-warmup_steps: 50
-weight_decay: 0.0
-xformers_attention: null
-
-```
-
-</details><br>
 
 # 73b25e66-016c-4e72-b14a-6d44193e7dab
 
@@ -128,47 +33,6 @@ More information needed
 
 More information needed
 
-## Training procedure
-
-### Training hyperparameters
-
-The following hyperparameters were used during training:
-- learning_rate: 0.0002
-- train_batch_size: 4
-- eval_batch_size: 4
-- seed: 42
-- gradient_accumulation_steps: 4
-- total_train_batch_size: 16
-- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=adam_beta1=0.9,adam_beta2=0.95,adam_epsilon=1e-5
-- lr_scheduler_type: constant
-- lr_scheduler_warmup_steps: 50
-- training_steps: 4898
-
-### Training results
-
-| Training Loss | Epoch  | Step | Validation Loss |
-|:-------------:|:------:|:----:|:---------------:|
-| No log        | 0.0001 | 1    | 1.0585          |
-| 3.586         | 0.0141 | 150  | 0.8885          |
-| 3.4879        | 0.0282 | 300  | 0.8705          |
-| 3.4871        | 0.0423 | 450  | 0.8649          |
-| 3.4143        | 0.0565 | 600  | 0.8548          |
-| 3.4282        | 0.0706 | 750  | 0.8510          |
-| 3.4107        | 0.0847 | 900  | 0.8489          |
-| 3.4089        | 0.0988 | 1050 | 0.8427          |
-| 3.4357        | 0.1129 | 1200 | 0.8434          |
-| 3.3729        | 0.1270 | 1350 | 0.8426          |
-| 3.3947        | 0.1411 | 1500 | 0.8415          |
-| 3.3947        | 0.1553 | 1650 | 0.8387          |
-| 3.3415        | 0.1694 | 1800 | 0.8400          |
-| 3.3761        | 0.1835 | 1950 | 0.8368          |
-| 3.3649        | 0.1976 | 2100 | 0.8358          |
-| 3.3475        | 0.2117 | 2250 | 0.8358          |
-| 3.3436        | 0.2258 | 2400 | 0.8342          |
-| 3.3446        | 0.2399 | 2550 | 0.8360          |
-| 3.3354        | 0.2541 | 2700 | 0.8360          |
-
-
 ### Framework versions
 
 - PEFT 0.13.2