lenate_model_6
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1215
- Accuracy: 0.9688
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: 11
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 10 | 0.8277 | 0.625 |
| No log | 2.0 | 20 | 0.6681 | 0.775 |
| No log | 3.0 | 30 | 0.5125 | 0.8688 |
| No log | 4.0 | 40 | 0.3817 | 0.8938 |
| No log | 5.0 | 50 | 0.2871 | 0.925 |
| No log | 6.0 | 60 | 0.2268 | 0.9313 |
| No log | 7.0 | 70 | 0.1862 | 0.9313 |
| No log | 8.0 | 80 | 0.1553 | 0.9375 |
| No log | 9.0 | 90 | 0.1365 | 0.9563 |
| No log | 10.0 | 100 | 0.1253 | 0.9688 |
| No log | 11.0 | 110 | 0.1215 | 0.9688 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2