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bert-base-uncased-coffee20230113
This model is a fine-tuned version of bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 4.9112
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 | 86 | 4.5257 |
| 5.3762 | 2.0 | 172 | 3.1774 |
| 3.2552 | 3.0 | 258 | 2.7228 |
| 2.227 | 4.0 | 344 | 2.5844 |
| 1.6128 | 5.0 | 430 | 2.8589 |
| 1.098 | 6.0 | 516 | 2.8712 |
| 0.7646 | 7.0 | 602 | 3.4380 |
| 0.7646 | 8.0 | 688 | 3.6037 |
| 0.4805 | 9.0 | 774 | 4.1493 |
| 0.3258 | 10.0 | 860 | 4.2875 |
| 0.2224 | 11.0 | 946 | 4.7041 |
| 0.1477 | 12.0 | 1032 | 4.3993 |
| 0.0699 | 13.0 | 1118 | 4.7922 |
| 0.0377 | 14.0 | 1204 | 5.0445 |
| 0.0377 | 15.0 | 1290 | 4.9112 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.11.0+cu113
- Datasets 2.8.0
- Tokenizers 0.13.2
