| --- |
| license: mit |
| library_name: peft |
| tags: |
| - generated_from_trainer |
| base_model: microsoft/phi-2 |
| model-index: |
| - name: phi2_mrqa_v2 |
| 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. --> |
|
|
| # phi2_mrqa_v2 |
|
|
| This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.1123 |
|
|
| ## 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: 2e-05 |
| - train_batch_size: 1 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - gradient_accumulation_steps: 4 |
| - total_train_batch_size: 4 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_ratio: 0.03 |
| - training_steps: 800 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 1.5938 | 0.5 | 100 | 1.2202 | |
| | 1.2563 | 1.0 | 200 | 1.1830 | |
| | 1.2218 | 1.5 | 300 | 1.1568 | |
| | 1.1537 | 2.0 | 400 | 1.1370 | |
| | 1.1376 | 2.5 | 500 | 1.1254 | |
| | 1.2026 | 3.0 | 600 | 1.1177 | |
| | 1.1269 | 3.5 | 700 | 1.1137 | |
| | 1.1692 | 4.0 | 800 | 1.1123 | |
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|
| ### Framework versions |
|
|
| - PEFT 0.10.1.dev0 |
| - Transformers 4.41.0.dev0 |
| - Pytorch 2.2.1+cu121 |
| - Datasets 2.19.1 |
| - Tokenizers 0.19.1 |
