distilbert-base-uncased-najianews
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: 0.3788
- Accuracy: 0.9075
- F1: 0.9074
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: 5e-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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.4709 | 1.0 | 249 | 0.3247 | 0.8933 | 0.8898 |
| 0.2174 | 2.0 | 498 | 0.3848 | 0.9004 | 0.8952 |
| 0.1444 | 3.0 | 747 | 0.3788 | 0.9075 | 0.9074 |
Framework versions
- Transformers 4.21.2
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1
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