| --- |
| license: mit |
| tags: |
| - generated_from_trainer |
| metrics: |
| - f1 |
| model-index: |
| - name: tests |
| 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. --> |
|
|
| # tests |
|
|
| This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 2.2929 |
| - F1: 0.6892 |
|
|
| ## 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: 3e-05 |
| - train_batch_size: 16 |
| - eval_batch_size: 16 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 20 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | F1 | |
| |:-------------:|:-----:|:----:|:---------------:|:------:| |
| | No log | 1.0 | 65 | 1.3350 | 0.5730 | |
| | No log | 2.0 | 130 | 1.0753 | 0.6595 | |
| | No log | 3.0 | 195 | 1.0889 | 0.6649 | |
| | No log | 4.0 | 260 | 1.2171 | 0.6568 | |
| | No log | 5.0 | 325 | 1.2974 | 0.6622 | |
| | No log | 6.0 | 390 | 1.5941 | 0.6541 | |
| | No log | 7.0 | 455 | 1.8704 | 0.6486 | |
| | 0.564 | 8.0 | 520 | 2.1442 | 0.6324 | |
| | 0.564 | 9.0 | 585 | 2.0927 | 0.6703 | |
| | 0.564 | 10.0 | 650 | 2.0792 | 0.6865 | |
| | 0.564 | 11.0 | 715 | 2.0973 | 0.6892 | |
| | 0.564 | 12.0 | 780 | 2.2011 | 0.6757 | |
| | 0.564 | 13.0 | 845 | 2.2499 | 0.6865 | |
| | 0.564 | 14.0 | 910 | 2.2436 | 0.6865 | |
| | 0.564 | 15.0 | 975 | 2.2455 | 0.6892 | |
| | 0.0074 | 16.0 | 1040 | 2.2756 | 0.6892 | |
| | 0.0074 | 17.0 | 1105 | 2.2865 | 0.6919 | |
| | 0.0074 | 18.0 | 1170 | 2.2874 | 0.6892 | |
| | 0.0074 | 19.0 | 1235 | 2.2905 | 0.6865 | |
| | 0.0074 | 20.0 | 1300 | 2.2929 | 0.6892 | |
|
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|
|
| ### Framework versions |
|
|
| - Transformers 4.28.1 |
| - Pytorch 2.0.0+cu118 |
| - Datasets 2.11.0 |
| - Tokenizers 0.13.3 |
|
|
