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roberta-base-coffee20230108
This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 4.4032
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: 15
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 89 | 4.5615 |
| 5.5192 | 2.0 | 178 | 2.8434 |
| 3.2266 | 3.0 | 267 | 2.2547 |
| 2.1833 | 4.0 | 356 | 2.3272 |
| 1.5483 | 5.0 | 445 | 2.3703 |
| 1.148 | 6.0 | 534 | 2.4088 |
| 1.0413 | 7.0 | 623 | 2.6734 |
| 0.6844 | 8.0 | 712 | 2.7058 |
| 0.5396 | 9.0 | 801 | 2.9746 |
| 0.5396 | 10.0 | 890 | 3.6085 |
| 0.3883 | 11.0 | 979 | 3.4980 |
| 0.2854 | 12.0 | 1068 | 4.0556 |
| 0.2021 | 13.0 | 1157 | 4.1024 |
| 0.1797 | 14.0 | 1246 | 4.2926 |
| 0.1425 | 15.0 | 1335 | 4.4032 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.11.0+cu113
- Datasets 2.8.0
- Tokenizers 0.13.2
