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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: Qwen/Qwen2.5-Math-7B |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: outputs/qwen_sft |
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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: `0.8.0.dev0` |
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```yaml |
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base_model: Qwen/Qwen2.5-Math-7B |
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trust_remote_code: false |
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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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chat_template: qwen_25 |
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datasets: |
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- path: data/train_data |
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type: chat_template |
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field_messages: conversations |
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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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user: ["human", "user"] |
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assistant: ["gpt", "assistant", "ai"] |
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system: ["system"] |
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dataset_prepared_path: |
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val_set_size: 0.0 |
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output_dir: ./outputs/qwen_sft |
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sequence_len: 8192 |
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sample_packing: true |
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eval_sample_packing: true |
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pad_to_sequence_len: true |
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# wandb_project: huggingface |
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# wandb_entity: zzzzzaa |
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# wandb_watch: |
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# wandb_name: qwen_test |
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# wandb_log_model: |
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gradient_accumulation_steps: 8 |
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micro_batch_size: 1 |
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num_epochs: 1 |
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optimizer: paged_adamw_32bit |
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lr_scheduler: cosine |
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learning_rate: 1e-5 |
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train_on_inputs: false |
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group_by_length: false |
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bf16: auto |
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fp16: false |
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tf32: true |
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gradient_checkpointing: false |
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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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local_rank: |
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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_ratio: 0.05 |
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saves_per_epoch: 1 |
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evals_per_epoch: 0 |
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debug: |
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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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# bos_token: "<|im_start|>" |
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# eos_token: "<|im_end|>" |
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# pad_token: "<|endoftext|>" |
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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_glu_activation: true |
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liger_layer_norm: true |
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liger_fused_linear_cross_entropy: true |
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``` |
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</details><br> |
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# outputs/qwen_sft |
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This model is a fine-tuned version of [Qwen/Qwen2.5-Math-7B](https://huggingface.co/Qwen/Qwen2.5-Math-7B) on the None dataset. |
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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: 1e-05 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 8 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 64 |
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- total_eval_batch_size: 8 |
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- optimizer: Use paged_adamw_32bit 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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- num_epochs: 1.0 |
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### Training results |
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### Framework versions |
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- Transformers 4.49.0 |
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- Pytorch 2.5.1+cu124 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
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