distilbert-base-uncased-finetuned-emotion-epochs-3
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1566
- Accuracy: 0.936
- F1: 0.9361
Model description
More information needed
Intended uses & limitations
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Training and evaluation data
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Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.7959 | 1.0 | 250 | 0.2613 | 0.921 | 0.9196 |
| 0.2072 | 2.0 | 500 | 0.1720 | 0.9325 | 0.9323 |
| 0.1454 | 3.0 | 750 | 0.1566 | 0.936 | 0.9361 |
Framework versions
- Transformers 4.16.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
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