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