| | --- |
| | library_name: transformers |
| | license: other |
| | base_model: Qwen/Qwen2.5-3B-Instruct |
| | tags: |
| | - generated_from_trainer |
| | datasets: |
| | - train.jsonl |
| | model-index: |
| | - name: outputs/out |
| | 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: Qwen/Qwen2.5-3B-Instruct |
| | model_type: AutoModelForCausalLM |
| | tokenizer_type: AutoTokenizer |
| | trust_remote_code: false |
| | |
| | load_in_8bit: false |
| | load_in_4bit: false |
| | strict: false |
| | |
| | output_dir: ./outputs/out |
| | chat_template: qwen_25 |
| | datasets: |
| | - path: train.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: ./outputs/out |
| | eval_sample_packing: False |
| | |
| | sequence_len: 8192 |
| | sample_packing: False |
| | pad_to_sequence_len: False |
| | |
| | wandb_project: mergedbench |
| | wandb_entity: |
| | wandb_watch: |
| | wandb_name: |
| | wandb_log_model: |
| | # hub_model_id: amphora/merged-bench-qwen-full |
| | |
| | plugins: |
| | - axolotl.integrations.liger.LigerPlugin |
| | liger_rope: true |
| | liger_rms_norm: true |
| | liger_swiglu: true |
| | liger_fused_linear_cross_entropy: true |
| | |
| | gradient_accumulation_steps: 4 |
| | micro_batch_size: 8 |
| | 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: auto |
| | fp16: |
| | 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: 1 |
| | debug: |
| | deepspeed: deepspeed_configs/zero1.json |
| | weight_decay: 0.01 |
| | fsdp: |
| | fsdp_config: |
| | special_tokens: |
| | ``` |
| |
|
| | </details><br> |
| |
|
| | # outputs/out |
| |
|
| | This model is a fine-tuned version of [Qwen/Qwen2.5-3B-Instruct](https://huggingface.co/Qwen/Qwen2.5-3B-Instruct) on the train.jsonl dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.2783 |
| |
|
| | ## 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: 8 |
| | - eval_batch_size: 4 |
| | - seed: 42 |
| | - distributed_type: multi-GPU |
| | - num_devices: 2 |
| | - gradient_accumulation_steps: 4 |
| | - total_train_batch_size: 64 |
| | - total_eval_batch_size: 8 |
| | - optimizer: Use OptimizerNames.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 | |
| | |:-------------:|:------:|:----:|:---------------:| |
| | | 1.3989 | 0.0041 | 1 | 1.7111 | |
| | | 0.2969 | 0.3350 | 82 | 0.3192 | |
| | | 0.3027 | 0.6701 | 164 | 0.2914 | |
| | | 0.177 | 1.0082 | 246 | 0.2854 | |
| | | 0.1735 | 1.3432 | 328 | 0.2857 | |
| | | 0.1684 | 1.6782 | 410 | 0.2805 | |
| | | 0.1109 | 2.0163 | 492 | 0.2741 | |
| | | 0.0946 | 2.3514 | 574 | 0.2828 | |
| | | 0.0968 | 2.6864 | 656 | 0.2783 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.48.1 |
| | - Pytorch 2.5.1+cu121 |
| | - Datasets 3.2.0 |
| | - Tokenizers 0.21.0 |
| |
|
