crypto_sustainability_news_text_classifier-distilbert-base-uncased
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: 0.0678
- Accuracy: 1.0
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: 1e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.0723 | 1.0 | 8 | 1.0659 | 0.2167 |
| 1.0079 | 2.0 | 16 | 0.9776 | 0.75 |
| 0.908 | 3.0 | 24 | 0.8537 | 0.9333 |
| 0.7741 | 4.0 | 32 | 0.7082 | 0.9667 |
| 0.6449 | 5.0 | 40 | 0.5749 | 0.9667 |
| 0.5218 | 6.0 | 48 | 0.4551 | 0.9667 |
| 0.4026 | 7.0 | 56 | 0.3505 | 1.0 |
| 0.3144 | 8.0 | 64 | 0.2714 | 1.0 |
| 0.2424 | 9.0 | 72 | 0.2163 | 1.0 |
| 0.1939 | 10.0 | 80 | 0.1709 | 1.0 |
| 0.1559 | 11.0 | 88 | 0.1384 | 1.0 |
| 0.1247 | 12.0 | 96 | 0.1169 | 1.0 |
| 0.1073 | 13.0 | 104 | 0.0992 | 1.0 |
| 0.094 | 14.0 | 112 | 0.0890 | 1.0 |
| 0.0823 | 15.0 | 120 | 0.0813 | 1.0 |
| 0.0759 | 16.0 | 128 | 0.0756 | 1.0 |
| 0.0708 | 17.0 | 136 | 0.0720 | 1.0 |
| 0.0684 | 18.0 | 144 | 0.0697 | 1.0 |
| 0.0668 | 19.0 | 152 | 0.0683 | 1.0 |
| 0.0634 | 20.0 | 160 | 0.0678 | 1.0 |
Framework versions
- Transformers 4.47.0.dev0
- Pytorch 2.4.0+cu121
- Datasets 3.0.2
- Tokenizers 0.20.0