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movie-genre-predictions
This model is a fine-tuned version of classla/xlm-roberta-base-multilingual-text-genre-classifier on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.8254
- Accuracy: 0.4039
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.0066 | 1.0 | 580 | 1.7868 | 0.3721 |
| 1.776 | 2.0 | 1160 | 1.7651 | 0.3909 |
| 1.686 | 3.0 | 1740 | 1.6970 | 0.4086 |
| 1.6282 | 4.0 | 2320 | 1.6960 | 0.4098 |
| 1.5714 | 5.0 | 2900 | 1.6749 | 0.4137 |
| 1.516 | 6.0 | 3480 | 1.6763 | 0.4142 |
| 1.4244 | 7.0 | 4060 | 1.7029 | 0.4159 |
| 1.3822 | 8.0 | 4640 | 1.7114 | 0.4143 |
| 1.3422 | 9.0 | 5220 | 1.7400 | 0.4131 |
| 1.3099 | 10.0 | 5800 | 1.7681 | 0.4084 |
| 1.2757 | 11.0 | 6380 | 1.7830 | 0.4049 |
| 1.2489 | 12.0 | 6960 | 1.7978 | 0.4050 |
| 1.2039 | 13.0 | 7540 | 1.8142 | 0.4058 |
| 1.1839 | 14.0 | 8120 | 1.8243 | 0.4044 |
| 1.1641 | 15.0 | 8700 | 1.8254 | 0.4039 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
