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distilbert-base-uncased_fold_5_ternary_v1
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: 2.1368
- F1: 0.7682
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: 25
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| No log | 1.0 | 291 | 0.6423 | 0.7465 |
| 0.5563 | 2.0 | 582 | 0.6001 | 0.7631 |
| 0.5563 | 3.0 | 873 | 0.6884 | 0.7785 |
| 0.2595 | 4.0 | 1164 | 0.9920 | 0.7439 |
| 0.2595 | 5.0 | 1455 | 1.1434 | 0.7631 |
| 0.1159 | 6.0 | 1746 | 1.3289 | 0.7606 |
| 0.0473 | 7.0 | 2037 | 1.3966 | 0.7708 |
| 0.0473 | 8.0 | 2328 | 1.4761 | 0.7606 |
| 0.0282 | 9.0 | 2619 | 1.6144 | 0.7542 |
| 0.0282 | 10.0 | 2910 | 1.5642 | 0.7695 |
| 0.0134 | 11.0 | 3201 | 1.7206 | 0.7593 |
| 0.0134 | 12.0 | 3492 | 1.8008 | 0.7542 |
| 0.0059 | 13.0 | 3783 | 1.8056 | 0.7746 |
| 0.002 | 14.0 | 4074 | 1.9160 | 0.7593 |
| 0.002 | 15.0 | 4365 | 2.0223 | 0.7606 |
| 0.0052 | 16.0 | 4656 | 1.9112 | 0.7810 |
| 0.0052 | 17.0 | 4947 | 1.9040 | 0.7772 |
| 0.0056 | 18.0 | 5238 | 1.9852 | 0.7734 |
| 0.0061 | 19.0 | 5529 | 2.0590 | 0.7644 |
| 0.0061 | 20.0 | 5820 | 2.1078 | 0.7631 |
| 0.0044 | 21.0 | 6111 | 2.1177 | 0.7631 |
| 0.0044 | 22.0 | 6402 | 2.0983 | 0.7644 |
| 0.0012 | 23.0 | 6693 | 2.1384 | 0.7670 |
| 0.0012 | 24.0 | 6984 | 2.1467 | 0.7657 |
| 0.0018 | 25.0 | 7275 | 2.1368 | 0.7682 |
Framework versions
- Transformers 4.21.0
- Pytorch 1.12.0+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1
