| | --- |
| | license: apache-2.0 |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: recipe-distilroberta-Is |
| | 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. --> |
| |
|
| | # recipe-distilroberta-Is |
| |
|
| | This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 4.7427 |
| |
|
| | ## 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: 2e-05 |
| | - train_batch_size: 128 |
| | - eval_batch_size: 128 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 25 |
| | - mixed_precision_training: Native AMP |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:-----:|:---------------:| |
| | | 19.6191 | 1.0 | 2135 | 10.5217 | |
| | | 8.6838 | 2.0 | 4270 | 7.3017 | |
| | | 6.884 | 3.0 | 6405 | 6.4445 | |
| | | 6.2953 | 4.0 | 8540 | 6.0610 | |
| | | 6.0205 | 5.0 | 10675 | 5.9047 | |
| | | 5.851 | 6.0 | 12810 | 5.7790 | |
| | | 5.7464 | 7.0 | 14945 | 5.7164 | |
| | | 5.6684 | 8.0 | 17080 | 5.6415 | |
| | | 5.6138 | 9.0 | 19215 | 5.5671 | |
| | | 5.5638 | 10.0 | 21350 | 5.5360 | |
| | | 5.5288 | 11.0 | 23485 | 5.5069 | |
| | | 5.4968 | 12.0 | 25620 | 5.4968 | |
| | | 5.4696 | 13.0 | 27755 | 5.4539 | |
| | | 5.4468 | 14.0 | 29890 | 5.4416 | |
| | | 5.4177 | 15.0 | 32025 | 5.3722 | |
| | | 5.3717 | 16.0 | 34160 | 5.3226 | |
| | | 5.317 | 17.0 | 36295 | 5.2197 | |
| | | 5.2367 | 18.0 | 38430 | 5.0888 | |
| | | 5.1543 | 19.0 | 40565 | 4.9954 | |
| | | 5.0919 | 20.0 | 42700 | 4.9306 | |
| | | 5.038 | 21.0 | 44835 | 4.8657 | |
| | | 4.9983 | 22.0 | 46970 | 4.8137 | |
| | | 4.9639 | 23.0 | 49105 | 4.7704 | |
| | | 4.9426 | 24.0 | 51240 | 4.7486 | |
| | | 4.9312 | 25.0 | 53375 | 4.7427 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.19.0.dev0 |
| | - Pytorch 1.9.0+cu111 |
| | - Datasets 2.4.0 |
| | - Tokenizers 0.12.1 |
| |
|
