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results
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3691
- Micro f1: 0.3798
- Macro f1: 0.0172
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: 3e-05
- train_batch_size: 512
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Micro f1 | Macro f1 |
|---|---|---|---|---|---|
| No log | 1.0 | 4 | 0.6471 | 0.0960 | 0.0322 |
| No log | 2.0 | 8 | 0.5902 | 0.2933 | 0.0364 |
| No log | 3.0 | 12 | 0.5430 | 0.3700 | 0.0345 |
| No log | 4.0 | 16 | 0.5061 | 0.3709 | 0.0307 |
| No log | 5.0 | 20 | 0.4765 | 0.3756 | 0.0216 |
| No log | 6.0 | 24 | 0.4524 | 0.3748 | 0.0179 |
| No log | 7.0 | 28 | 0.4326 | 0.3788 | 0.0173 |
| No log | 8.0 | 32 | 0.4160 | 0.3803 | 0.0173 |
| No log | 9.0 | 36 | 0.4027 | 0.3798 | 0.0172 |
| No log | 10.0 | 40 | 0.3920 | 0.3798 | 0.0172 |
| No log | 11.0 | 44 | 0.3836 | 0.3798 | 0.0172 |
| No log | 12.0 | 48 | 0.3773 | 0.3798 | 0.0172 |
| No log | 13.0 | 52 | 0.3728 | 0.3798 | 0.0172 |
| No log | 14.0 | 56 | 0.3701 | 0.3798 | 0.0172 |
| No log | 15.0 | 60 | 0.3691 | 0.3798 | 0.0172 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.7.1
- Tokenizers 0.13.2
