| --- |
| license: mit |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: roberta-base-IMDB_roberta |
| 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. --> |
|
|
| # roberta-base-IMDB_roberta |
| |
| 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: 2.1897 |
| |
| ## 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: 32 |
| - eval_batch_size: 32 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 16 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:-----:|:---------------:| |
| | 2.7882 | 1.0 | 1250 | 2.4751 | |
| | 2.5749 | 2.0 | 2500 | 2.4183 | |
| | 2.4501 | 3.0 | 3750 | 2.3799 | |
| | 2.3697 | 4.0 | 5000 | 2.3792 | |
| | 2.3187 | 5.0 | 6250 | 2.3622 | |
| | 2.24 | 6.0 | 7500 | 2.3491 | |
| | 2.164 | 7.0 | 8750 | 2.3146 | |
| | 2.1187 | 8.0 | 10000 | 2.2804 | |
| | 2.0552 | 9.0 | 11250 | 2.2629 | |
| | 2.0285 | 10.0 | 12500 | 2.2088 | |
| | 1.9807 | 11.0 | 13750 | 2.2061 | |
| | 1.9597 | 12.0 | 15000 | 2.2094 | |
| | 1.9062 | 13.0 | 16250 | 2.1486 | |
| | 1.8766 | 14.0 | 17500 | 2.1348 | |
| | 1.8528 | 15.0 | 18750 | 2.1665 | |
| | 1.8425 | 16.0 | 20000 | 2.1897 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.21.1 |
| - Pytorch 1.12.1+cu113 |
| - Datasets 2.4.0 |
| - Tokenizers 0.12.1 |
| |
