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Heritage-in-Digital-Age-distilbert-base-uncased-expression-rating
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.0133
- Accuracy: 0.3496
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 18 | 1.9870 | 0.3333 |
| No log | 2.0 | 36 | 1.9731 | 0.3415 |
| No log | 3.0 | 54 | 2.0133 | 0.3496 |
| No log | 4.0 | 72 | 2.0809 | 0.3415 |
| No log | 5.0 | 90 | 2.1694 | 0.3008 |
| No log | 6.0 | 108 | 2.2611 | 0.2764 |
| No log | 7.0 | 126 | 2.2832 | 0.3008 |
| No log | 8.0 | 144 | 2.3670 | 0.2846 |
| No log | 9.0 | 162 | 2.4279 | 0.2683 |
| No log | 10.0 | 180 | 2.4460 | 0.3089 |
| No log | 11.0 | 198 | 2.5236 | 0.2846 |
| No log | 12.0 | 216 | 2.5896 | 0.3089 |
| No log | 13.0 | 234 | 2.6061 | 0.3008 |
| No log | 14.0 | 252 | 2.6813 | 0.2846 |
| No log | 15.0 | 270 | 2.6990 | 0.3252 |
| No log | 16.0 | 288 | 2.7439 | 0.3171 |
| No log | 17.0 | 306 | 2.7499 | 0.3415 |
| No log | 18.0 | 324 | 2.7737 | 0.3252 |
| No log | 19.0 | 342 | 2.7793 | 0.3252 |
| No log | 20.0 | 360 | 2.7775 | 0.3252 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2
