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distilbert-finetuned-lr1e-05-epochs25
This model is a fine-tuned version of distilbert-base-cased-distilled-squad on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.5052
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: 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 |
|---|---|---|---|
| No log | 1.0 | 10 | 4.0203 |
| No log | 2.0 | 20 | 3.3541 |
| No log | 3.0 | 30 | 3.2099 |
| No log | 4.0 | 40 | 3.0069 |
| No log | 5.0 | 50 | 2.9681 |
| No log | 6.0 | 60 | 2.9433 |
| No log | 7.0 | 70 | 2.9839 |
| No log | 8.0 | 80 | 2.9769 |
| No log | 9.0 | 90 | 2.8885 |
| No log | 10.0 | 100 | 2.9944 |
| No log | 11.0 | 110 | 3.1082 |
| No log | 12.0 | 120 | 3.1373 |
| No log | 13.0 | 130 | 3.1689 |
| No log | 14.0 | 140 | 3.2052 |
| No log | 15.0 | 150 | 3.2829 |
| No log | 16.0 | 160 | 3.3722 |
| No log | 17.0 | 170 | 3.3986 |
| No log | 18.0 | 180 | 3.3982 |
| No log | 19.0 | 190 | 3.3895 |
| No log | 20.0 | 200 | 3.4327 |
| No log | 21.0 | 210 | 3.4649 |
| No log | 22.0 | 220 | 3.4791 |
| No log | 23.0 | 230 | 3.4945 |
| No log | 24.0 | 240 | 3.5045 |
| No log | 25.0 | 250 | 3.5052 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
