| --- |
| license: other |
| base_model: microsoft/phi-1_5 |
| tags: |
| - generated_from_trainer |
| datasets: |
| - scitldr |
| model-index: |
| - name: project-phi-1.5 |
| 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. --> |
|
|
| # project-phi-1.5 |
|
|
| This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.co/microsoft/phi-1_5) on the scitldr dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 2.5375 |
|
|
| ## 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: 0.001 |
| - train_batch_size: 1 |
| - eval_batch_size: 1 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 1 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 2.3741 | 0.1 | 200 | 2.6749 | |
| | 2.5883 | 0.2 | 400 | 2.5969 | |
| | 2.5334 | 0.3 | 600 | 2.5862 | |
| | 2.5922 | 0.4 | 800 | 2.5695 | |
| | 2.5445 | 0.5 | 1000 | 2.5621 | |
| | 2.5785 | 0.6 | 1200 | 2.5539 | |
| | 2.5511 | 0.7 | 1400 | 2.5507 | |
| | 2.5252 | 0.8 | 1600 | 2.5429 | |
| | 2.5788 | 0.9 | 1800 | 2.5375 | |
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|
| ### Framework versions |
|
|
| - Transformers 4.35.0 |
| - Pytorch 2.1.0+cu118 |
| - Datasets 2.14.6 |
| - Tokenizers 0.14.1 |
|
|
