cat-1-html-distilbert-base-uncased
This model is a fine-tuned version of distilbert/distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1994
- Accuracy: 0.9462
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: 45
- eval_batch_size: 45
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
No log | 1.0 | 445 | 0.2956 | 0.8936 |
0.2407 | 2.0 | 890 | 0.2567 | 0.9167 |
0.149 | 3.0 | 1335 | 0.2234 | 0.9272 |
0.1136 | 4.0 | 1780 | 0.1769 | 0.9466 |
0.0809 | 5.0 | 2225 | 0.1837 | 0.9457 |
0.0599 | 6.0 | 2670 | 0.1994 | 0.9462 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1
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