| --- |
| license: mit |
| base_model: roberta-base |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: results |
| 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. --> |
|
|
| # results |
|
|
| 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: 0.1755 |
|
|
| ## 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-06 |
| - train_batch_size: 64 |
| - eval_batch_size: 64 |
| - 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: 10 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 0.6937 | 1.0 | 130 | 0.6936 | |
| | 0.6782 | 2.0 | 260 | 0.6684 | |
| | 0.3968 | 3.0 | 390 | 0.3106 | |
| | 0.3238 | 4.0 | 520 | 0.2410 | |
| | 0.2817 | 5.0 | 650 | 0.1915 | |
| | 0.1955 | 6.0 | 780 | 0.2092 | |
| | 0.1536 | 7.0 | 910 | 0.1763 | |
| | 0.1352 | 8.0 | 1040 | 0.1755 | |
| | 0.1266 | 9.0 | 1170 | 0.1853 | |
| | 0.1115 | 10.0 | 1300 | 0.1805 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.41.2 |
| - Pytorch 2.0.1 |
| - Datasets 2.14.6 |
| - Tokenizers 0.19.1 |
| |
