albert_emotion
This model is a fine-tuned version of lilyray/albert_emotion on the emotion dataset. It achieves the following results on the evaluation set:
- Loss: 0.2391
- Accuracy: 0.9295
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: 9.363600088100325e-06
- train_batch_size: 4
- eval_batch_size: 8
- seed: 19
- 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 |
|---|---|---|---|---|
| 0.1744 | 1.0 | 4000 | 0.2001 | 0.938 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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