| --- |
| library_name: peft |
| license: apache-2.0 |
| base_model: Qwen/Qwen2.5-1.5B-Instruct |
| tags: |
| - base_model:adapter:Qwen/Qwen2.5-1.5B-Instruct |
| - llama-factory |
| - lora |
| - transformers |
| pipeline_tag: text-generation |
| model-index: |
| - name: model |
| 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. --> |
|
|
| # model |
|
|
| This model is a fine-tuned version of [Qwen/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct) on the news_finetune_train dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.1760 |
|
|
| ## 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: 0.0001 |
| - train_batch_size: 1 |
| - eval_batch_size: 1 |
| - seed: 42 |
| - distributed_type: multi-GPU |
| - num_devices: 2 |
| - gradient_accumulation_steps: 4 |
| - total_train_batch_size: 8 |
| - total_eval_batch_size: 2 |
| - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 0.1 |
| - num_epochs: 3.0 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:------:|:----:|:---------------:| |
| | 0.1464 | 1.1910 | 100 | 0.1870 | |
| | 0.0811 | 2.3821 | 200 | 0.1739 | |
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| ### Framework versions |
|
|
| - PEFT 0.18.1 |
| - Transformers 5.2.0 |
| - Pytorch 2.9.0+cu126 |
| - Datasets 3.2.0 |
| - Tokenizers 0.22.2 |
