| --- |
| library_name: transformers |
| tags: |
| - generated_from_trainer |
| datasets: |
| - ./dataset/0510train_gpt+synthetic+whole_cat_changed_prompt_7000.jsonl |
| model-index: |
| - name: mnt/nas2/eval-paradox/model/checkpoints/hub/0510qwen_7b_r2o_0425train_gpt+synthetic+whole_cat_changed_prompt |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| 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: `0.6.0` |
| ```yaml |
| base_model: /mnt/nas2/eval-paradox/model/checkpoints/hub/models--Qwen--Qwen2.5-7B-Instruct |
| model_type: AutoModelForCausalLM |
| tokenizer_type: AutoTokenizer |
| trust_remote_code: true |
| |
| load_in_8bit: false |
| load_in_4bit: false |
| strict: false |
| |
| output_dir: /mnt/nas2/eval-paradox/model/checkpoints/hub/0510qwen_7b_r2o_0425train_gpt+synthetic+whole_cat_changed_prompt |
| chat_template: qwen_25 |
| datasets: |
| - path: ./dataset/0510train_gpt+synthetic+whole_cat_changed_prompt_7000.jsonl |
| type: chat_template |
| field_messages: messages |
| message_field_role: role |
| message_field_content: content |
| roles: |
| system: |
| - system |
| user: |
| - user |
| assistant: |
| - assistant |
| |
| dataset_prepared_path: last_run_prepared |
| val_set_size: 0.005 |
| output_dir: /mnt/nas2/eval-paradox/model/checkpoints/hub/0510qwen_7b_r2o_0425train_gpt+synthetic+whole_cat_changed_prompt |
| eval_sample_packing: False |
| |
| sequence_len: 4096 |
| sample_packing: False |
| pad_to_sequence_len: False |
| |
| wandb_project: mergedbench |
| wandb_entity: |
| wandb_watch: |
| wandb_name: |
| wandb_log_model: |
| |
| |
| plugins: |
| - axolotl.integrations.liger.LigerPlugin |
| liger_rope: true |
| liger_rms_norm: true |
| liger_swiglu: true |
| liger_fused_linear_cross_entropy: false |
| |
| gradient_accumulation_steps: 8 |
| micro_batch_size: 4 |
| eval_batch_size: 4 |
| num_epochs: 3 |
| optimizer: paged_adamw_8bit |
| lr_scheduler: cosine |
| learning_rate: 2e-5 |
| |
| train_on_inputs: false |
| group_by_length: false |
| bf16: true |
| fp16: false |
| tf32: false |
| |
| gradient_checkpointing: true |
| gradient_checkpointing_kwargs: |
| use_reentrant: false |
| early_stopping_patience: |
| resume_from_checkpoint: |
| logging_steps: 1 |
| xformers_attention: |
| flash_attention: true |
| |
| warmup_steps: 30 |
| evals_per_epoch: 3 |
| eval_max_new_tokens: 128 |
| eval_table_size: |
| saves_per_epoch: 3 |
| debug: |
| deepspeed: deepspeed_configs/zero3_bf16.json |
| offload_optimizer: true |
| offload_param: true |
| weight_decay: 0.01 |
| fsdp: |
| fsdp_config: |
| special_tokens: |
| ``` |
|
|
| </details><br> |
|
|
| # mnt/nas2/eval-paradox/model/checkpoints/hub/0510qwen_7b_r2o_0425train_gpt+synthetic+whole_cat_changed_prompt |
| |
| This model was trained from scratch on the ./dataset/0510train_gpt+synthetic+whole_cat_changed_prompt_7000.jsonl dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.0031 |
|
|
| ## Model description |
|
|
| More information needed |
|
|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
|
|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
|
|
| The following hyperparameters were used during training: |
| - learning_rate: 2e-05 |
| - train_batch_size: 4 |
| - eval_batch_size: 4 |
| - seed: 42 |
| - distributed_type: multi-GPU |
| - num_devices: 4 |
| - gradient_accumulation_steps: 8 |
| - total_train_batch_size: 128 |
| - total_eval_batch_size: 16 |
| - optimizer: Use paged_adamw_8bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: cosine |
| - lr_scheduler_warmup_steps: 30 |
| - num_epochs: 3.0 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:------:|:----:|:---------------:| |
| | 1.8321 | 0.0186 | 1 | 1.7002 | |
| | 0.025 | 0.3349 | 18 | 0.0112 | |
| | 0.0189 | 0.6698 | 36 | 0.0119 | |
| | 0.0344 | 1.0186 | 54 | 0.0133 | |
| | 0.0074 | 1.3535 | 72 | 0.0080 | |
| | 0.0042 | 1.6884 | 90 | 0.0056 | |
| | 0.002 | 2.0372 | 108 | 0.0044 | |
| | 0.0042 | 2.3721 | 126 | 0.0030 | |
| | 0.0007 | 2.7070 | 144 | 0.0031 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.48.1 |
| - Pytorch 2.6.0+cu124 |
| - Datasets 3.2.0 |
| - Tokenizers 0.21.1 |
|
|
