This model is a fine-tuned version of distilbert-base-uncased on the imdb dataset (training notebook is here).
It achieves the following results on the evaluation set:
- Loss: 0.1903
- Accuracy: 0.928
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: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.2195 | 1.0 | 1563 | 0.1903 | 0.928 |
Framework versions
- Transformers 4.15.0
- PyTorch 1.10.0+cu111
- Datasets 1.17.0
- Tokenizers 0.10.3
数据统计
数据评估
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