trained_with_six_emotions
This model is a fine-tuned version of ykacer/bert-base-cased-imdb-sequence-classification on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2450
- Accuracy: 0.9284
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.659 | 1.0 | 800 | 0.2002 | 0.9341 |
| 0.1547 | 2.0 | 1600 | 0.1646 | 0.9322 |
| 0.1207 | 3.0 | 2400 | 0.2115 | 0.9281 |
| 0.0839 | 4.0 | 3200 | 0.2177 | 0.9278 |
| 0.0505 | 5.0 | 4000 | 0.2450 | 0.9284 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.0+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
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