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ec_classfication_0502_google_electra_base_discriminator
This model is a fine-tuned version of google/electra-base-discriminator on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8369
- F1: 0.8511
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: 2e-05
- 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: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| No log | 1.0 | 59 | 0.6505 | 0.3934 |
| No log | 2.0 | 118 | 0.4319 | 0.8211 |
| No log | 3.0 | 177 | 0.4704 | 0.8269 |
| No log | 4.0 | 236 | 0.4700 | 0.8571 |
| No log | 5.0 | 295 | 0.5886 | 0.8478 |
| No log | 6.0 | 354 | 0.8250 | 0.8 |
| No log | 7.0 | 413 | 0.6282 | 0.8571 |
| No log | 8.0 | 472 | 0.6684 | 0.8632 |
| 0.2241 | 9.0 | 531 | 0.7479 | 0.8632 |
| 0.2241 | 10.0 | 590 | 0.8523 | 0.8387 |
| 0.2241 | 11.0 | 649 | 0.7993 | 0.8511 |
| 0.2241 | 12.0 | 708 | 0.8075 | 0.8602 |
| 0.2241 | 13.0 | 767 | 0.8326 | 0.8511 |
| 0.2241 | 14.0 | 826 | 0.8350 | 0.8511 |
| 0.2241 | 15.0 | 885 | 0.8369 | 0.8511 |
Framework versions
- Transformers 4.27.3
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.2
