| --- |
| license: other |
| base_model: microsoft/phi-1_5 |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: phi-sft-outB |
| 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/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl) |
| # phi-sft-outB |
|
|
| 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: 0.9402 |
|
|
| ## Model description |
|
|
| More information needed |
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|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
|
|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
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|
| The following hyperparameters were used during training: |
| - learning_rate: 3e-05 |
| - train_batch_size: 4 |
| - eval_batch_size: 4 |
| - seed: 42 |
| - gradient_accumulation_steps: 4 |
| - total_train_batch_size: 16 |
| - optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-05 |
| - lr_scheduler_type: cosine |
| - lr_scheduler_warmup_steps: 100 |
| - num_epochs: 4 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 0.9855 | 0.01 | 1 | 1.1349 | |
| | 1.3387 | 0.2 | 18 | 1.1270 | |
| | 1.1906 | 0.4 | 36 | 1.0901 | |
| | 0.8854 | 0.6 | 54 | 1.0535 | |
| | 1.1896 | 0.8 | 72 | 1.0300 | |
| | 0.9865 | 1.0 | 90 | 1.0094 | |
| | 1.1497 | 1.2 | 108 | 0.9901 | |
| | 1.1192 | 1.4 | 126 | 0.9769 | |
| | 0.8953 | 1.6 | 144 | 0.9651 | |
| | 1.0513 | 1.81 | 162 | 0.9565 | |
| | 0.9776 | 2.01 | 180 | 0.9512 | |
| | 1.087 | 2.21 | 198 | 0.9473 | |
| | 1.1714 | 2.41 | 216 | 0.9443 | |
| | 0.8238 | 2.61 | 234 | 0.9423 | |
| | 1.0734 | 2.81 | 252 | 0.9413 | |
| | 0.8108 | 3.01 | 270 | 0.9406 | |
| | 1.0202 | 3.21 | 288 | 0.9403 | |
| | 1.134 | 3.41 | 306 | 0.9402 | |
| | 0.8043 | 3.61 | 324 | 0.9401 | |
| | 1.0807 | 3.81 | 342 | 0.9402 | |
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|
| ### Framework versions |
|
|
| - Transformers 4.34.0.dev0 |
| - Pytorch 2.0.0+cu118 |
| - Datasets 2.14.5 |
| - Tokenizers 0.14.0 |
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|
