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movie-genre-predictions
This model is a fine-tuned version of bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.5590
- Accuracy: 0.4587
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: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.6649 | 1.0 | 1159 | 1.5851 | 0.4465 |
| 1.5221 | 2.0 | 2318 | 1.5577 | 0.4566 |
| 1.4229 | 3.0 | 3477 | 1.5590 | 0.4587 |
Framework versions
- Transformers 4.33.1
- Pytorch 1.13.1
- Datasets 2.14.5
- Tokenizers 0.13.3
