| | --- |
| | library_name: transformers |
| | license: mit |
| | base_model: microsoft/phi-1_5 |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: fine_tuned_phi1_5 |
| | 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. --> |
| |
|
| | # fine_tuned_phi1_5 |
| | |
| | This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.co/microsoft/phi-1_5) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.3498 |
| | |
| | ## 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: 5e-05 |
| | - train_batch_size: 4 |
| | - eval_batch_size: 4 |
| | - seed: 42 |
| | - gradient_accumulation_steps: 16 |
| | - total_train_batch_size: 64 |
| | - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| | - lr_scheduler_type: linear |
| | - lr_scheduler_warmup_steps: 500 |
| | - num_epochs: 10 |
| | - mixed_precision_training: Native AMP |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:------:|:----:|:---------------:| |
| | | No log | 0.9275 | 4 | 5.3873 | |
| | | No log | 1.9275 | 8 | 5.1770 | |
| | | 6.4196 | 2.9275 | 12 | 4.5702 | |
| | | 6.4196 | 3.9275 | 16 | 3.1211 | |
| | | 4.6448 | 4.9275 | 20 | 2.0151 | |
| | | 4.6448 | 5.9275 | 24 | 0.5937 | |
| | | 4.6448 | 6.9275 | 28 | 0.4527 | |
| | | 0.9737 | 7.9275 | 32 | 0.4155 | |
| | | 0.9737 | 8.9275 | 36 | 0.3759 | |
| | | 0.4308 | 9.9275 | 40 | 0.3498 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.47.1 |
| | - Pytorch 2.5.1+cu121 |
| | - Datasets 3.2.0 |
| | - Tokenizers 0.21.0 |
| | |
