| --- |
| license: mit |
| base_model: roberta-base |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: FOCALtrain |
| 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. --> |
|
|
| # FOCALtrain |
|
|
| 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: 1.2758 |
|
|
| ## 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: 8 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 500 |
| - num_epochs: 8 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 1.3121 | 1.0 | 474 | 1.3494 | |
| | 0.9964 | 2.0 | 948 | 1.3077 | |
| | 1.0453 | 3.0 | 1422 | 1.2758 | |
| | 0.6379 | 4.0 | 1896 | 1.5232 | |
| | 0.765 | 5.0 | 2370 | 1.5891 | |
| | 0.2287 | 6.0 | 2844 | 2.2163 | |
| | 0.1243 | 7.0 | 3318 | 2.5331 | |
| | 0.1699 | 8.0 | 3792 | 2.7521 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.35.2 |
| - Pytorch 2.1.0+cu121 |
| - Datasets 2.17.0 |
| - Tokenizers 0.15.1 |
| |
