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distilbert-base-uncased-operator
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0145
- Accuracy: 0.9832
- Precision: 0.9847
- Recall: 0.9813
- F1: 0.9830
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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 0.0323 | 1.0 | 15979 | 0.0207 | 0.9779 | 0.9756 | 0.9799 | 0.9778 |
| 0.0138 | 2.0 | 31958 | 0.0145 | 0.9832 | 0.9847 | 0.9813 | 0.9830 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.1.0+cu118
- Tokenizers 0.14.1
