| | --- |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | model-index: |
| | - name: fresh-2-layer-copa |
| | 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. --> |
| |
|
| | # fresh-2-layer-copa |
| |
|
| | This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 1.3801 |
| | - Accuracy: 0.2980 |
| |
|
| | ## 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: 0.0005 |
| | - train_batch_size: 16 |
| | - eval_batch_size: 16 |
| | - seed: 321 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - lr_scheduler_warmup_steps: 500 |
| | - num_epochs: 20 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| | |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | | No log | 1.0 | 63 | 1.3862 | 0.2071 | |
| | | No log | 2.0 | 126 | 1.3862 | 0.2071 | |
| | | No log | 3.0 | 189 | 1.3862 | 0.2525 | |
| | | No log | 4.0 | 252 | 1.3862 | 0.2374 | |
| | | No log | 5.0 | 315 | 1.3859 | 0.2626 | |
| | | No log | 6.0 | 378 | 1.3863 | 0.2071 | |
| | | No log | 7.0 | 441 | 1.3865 | 0.2778 | |
| | | 0.6953 | 8.0 | 504 | 1.3861 | 0.2778 | |
| | | 0.6953 | 9.0 | 567 | 1.3857 | 0.2071 | |
| | | 0.6953 | 10.0 | 630 | 1.3859 | 0.2525 | |
| | | 0.6953 | 11.0 | 693 | 1.3863 | 0.2475 | |
| | | 0.6953 | 12.0 | 756 | 1.3863 | 0.2778 | |
| | | 0.6953 | 13.0 | 819 | 1.3863 | 0.2576 | |
| | | 0.6953 | 14.0 | 882 | 1.3834 | 0.2778 | |
| | | 0.6953 | 15.0 | 945 | 1.3865 | 0.2576 | |
| | | 0.6897 | 16.0 | 1008 | 1.3856 | 0.2677 | |
| | | 0.6897 | 17.0 | 1071 | 1.3912 | 0.2273 | |
| | | 0.6897 | 18.0 | 1134 | 1.3801 | 0.2980 | |
| | | 0.6897 | 19.0 | 1197 | 1.3878 | 0.2020 | |
| | | 0.6897 | 20.0 | 1260 | 1.3961 | 0.2525 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.34.0.dev0 |
| | - Pytorch 2.0.1+cu117 |
| | - Datasets 2.14.5 |
| | - Tokenizers 0.14.0 |
| | |
