distilbert-base-uncased-finetuned-emotion
This model is a fine-tuned variant of distilbert-base-uncased using the emotion dataset. The evaluation results demonstrate its performance:
- Loss: 0.1595
- Accuracy: 93.35%
- F1 Score: 93.35%
Hyperparameters
- learning_rate: 2e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Epoch | Training Loss | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|
| 1 | 0.1703 | 0.1709 | 0.9355 | 0.9361 |
| 2 | 0.1115 | 0.1595 | 0.9335 | 0.9335 |
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Model tree for ale-dp/distilbert-base-uncased-finetuned-emotion
Base model
distilbert/distilbert-base-uncased