| | --- |
| | license: apache-2.0 |
| | base_model: distilbert/distilroberta-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 [distilbert/distilroberta-base](https://huggingface.co/distilbert/distilroberta-base) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.2147 |
| |
|
| | ## 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: 200 |
| | - num_epochs: 16 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:-----:|:---------------:| |
| | | 0.1553 | 1.0 | 1521 | 0.1512 | |
| | | 0.1561 | 2.0 | 3042 | 0.1484 | |
| | | 0.1344 | 3.0 | 4563 | 0.1497 | |
| | | 0.1119 | 4.0 | 6084 | 0.1551 | |
| | | 0.1117 | 5.0 | 7605 | 0.1640 | |
| | | 0.1095 | 6.0 | 9126 | 0.1729 | |
| | | 0.0714 | 7.0 | 10647 | 0.1871 | |
| | | 0.0617 | 8.0 | 12168 | 0.1950 | |
| | | 0.048 | 9.0 | 13689 | 0.2021 | |
| | | 0.0406 | 10.0 | 15210 | 0.2044 | |
| | | 0.0264 | 11.0 | 16731 | 0.2077 | |
| | | 0.0235 | 12.0 | 18252 | 0.2109 | |
| | | 0.0218 | 13.0 | 19773 | 0.2116 | |
| | | 0.0142 | 14.0 | 21294 | 0.2136 | |
| | | 0.0131 | 15.0 | 22815 | 0.2143 | |
| | | 0.0118 | 16.0 | 24336 | 0.2147 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.40.1 |
| | - Pytorch 2.3.0+cu121 |
| | - Datasets 2.19.0 |
| | - Tokenizers 0.19.1 |
| | |
