classification_final
This model is a fine-tuned version of yhavinga/t5-small-24L-ccmatrix-multi on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0695
- F1: 0.9782
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: 0.0001
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| No log | 1.0 | 110 | 0.2572 | 0.2326 |
| No log | 2.0 | 220 | 0.0883 | 0.9652 |
| No log | 3.0 | 330 | 0.0744 | 0.9694 |
| No log | 4.0 | 440 | 0.1080 | 0.9614 |
| 0.1321 | 5.0 | 550 | 0.0685 | 0.9782 |
| 0.1321 | 6.0 | 660 | 0.0695 | 0.9782 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Base model
yhavinga/t5-small-24L-ccmatrix-multi