| | --- |
| | license: other |
| | library_name: peft |
| | tags: |
| | - trl |
| | - sft |
| | - generated_from_trainer |
| | base_model: microsoft/phi-1_5 |
| | model-index: |
| | - name: results |
| | 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. --> |
| |
|
| | # results |
| |
|
| | 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: 0.4678 |
| |
|
| | ## 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: 0.0002 |
| | - train_batch_size: 8 |
| | - eval_batch_size: 8 |
| | - seed: 42 |
| | - gradient_accumulation_steps: 3 |
| | - total_train_batch_size: 24 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: cosine |
| | - lr_scheduler_warmup_ratio: 0.05 |
| | - num_epochs: 5 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:----:|:---------------:| |
| | | 0.2819 | 1.39 | 300 | 0.4803 | |
| | | 0.2312 | 2.79 | 600 | 0.4819 | |
| | | 0.2005 | 4.18 | 900 | 0.4678 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - PEFT 0.7.2.dev0 |
| | - Transformers 4.36.2 |
| | - Pytorch 2.0.0 |
| | - Datasets 2.11.0 |
| | - Tokenizers 0.15.0 |
