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ec_classfication
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: 0.6543
- F1: 0.7609
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: 1e-05
- train_batch_size: 32
- eval_batch_size: 32
- 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 | F1 |
|---|---|---|---|---|
| No log | 1.0 | 31 | 0.6418 | 0.4262 |
| No log | 2.0 | 62 | 0.4992 | 0.7342 |
| No log | 3.0 | 93 | 0.4732 | 0.7879 |
| No log | 4.0 | 124 | 0.4817 | 0.7089 |
| No log | 5.0 | 155 | 0.4872 | 0.7742 |
| No log | 6.0 | 186 | 0.5026 | 0.7872 |
| No log | 7.0 | 217 | 0.5202 | 0.7778 |
| No log | 8.0 | 248 | 0.5280 | 0.7711 |
| No log | 9.0 | 279 | 0.5629 | 0.75 |
| No log | 10.0 | 310 | 0.6319 | 0.7872 |
| No log | 11.0 | 341 | 0.6363 | 0.7872 |
| No log | 12.0 | 372 | 0.6850 | 0.7708 |
| No log | 13.0 | 403 | 0.6702 | 0.7872 |
| No log | 14.0 | 434 | 0.6495 | 0.7692 |
| No log | 15.0 | 465 | 0.6543 | 0.7609 |
Framework versions
- Transformers 4.27.3
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.2
