| --- |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: test_model |
| 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. --> |
|
|
| # test_model |
| |
| This model was trained from scratch on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.9938 |
| - Accuracy: 0.76 |
| |
| ## 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: 5e-05 |
| - train_batch_size: 128 |
| - eval_batch_size: 128 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 5 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | 0.6263 | 0.62 | 100 | 0.5941 | 0.7394 | |
| | 0.5263 | 1.24 | 200 | 0.5814 | 0.7578 | |
| | 0.4177 | 1.86 | 300 | 0.6013 | 0.7530 | |
| | 0.2901 | 2.48 | 400 | 0.7275 | 0.7402 | |
| | 0.2377 | 3.11 | 500 | 0.7853 | 0.7433 | |
| | 0.1313 | 3.73 | 600 | 0.8747 | 0.7394 | |
| | 0.1043 | 4.35 | 700 | 0.9510 | 0.7464 | |
| | 0.0714 | 4.97 | 800 | 0.9938 | 0.7473 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.32.0 |
| - Pytorch 2.1.2 |
| - Datasets 2.16.0 |
| - Tokenizers 0.13.3 |
| |
