distilbert-base-cased-logdetective-extraction-retrained
This model is a fine-tuned version of distilbert-base-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.8233
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: 8
- eval_batch_size: 8
- 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 |
|---|---|---|---|
| No log | 1.0 | 11 | 5.6496 |
| No log | 2.0 | 22 | 4.6587 |
| No log | 3.0 | 33 | 3.9848 |
| No log | 4.0 | 44 | 3.8507 |
| No log | 5.0 | 55 | 3.8008 |
| No log | 6.0 | 66 | 3.8792 |
| No log | 7.0 | 77 | 3.7424 |
| No log | 8.0 | 88 | 3.7718 |
| No log | 9.0 | 99 | 3.7890 |
| No log | 10.0 | 110 | 3.7310 |
| No log | 11.0 | 121 | 3.7770 |
| No log | 12.0 | 132 | 3.8769 |
| No log | 13.0 | 143 | 3.8011 |
| No log | 14.0 | 154 | 3.7797 |
| No log | 15.0 | 165 | 3.7930 |
| No log | 16.0 | 176 | 3.8179 |
| No log | 17.0 | 187 | 3.7452 |
| No log | 18.0 | 198 | 3.8175 |
| No log | 19.0 | 209 | 3.8055 |
| No log | 20.0 | 220 | 3.8233 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
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