<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
distilbert-base-uncased-finetuned-squad
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: 1.0629
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: 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: 30
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 4 | 5.6141 |
| No log | 2.0 | 8 | 4.6457 |
| No log | 3.0 | 12 | 3.9387 |
| No log | 4.0 | 16 | 3.1467 |
| No log | 5.0 | 20 | 2.3827 |
| No log | 6.0 | 24 | 1.9844 |
| No log | 7.0 | 28 | 1.7256 |
| No log | 8.0 | 32 | 1.5568 |
| No log | 9.0 | 36 | 1.3831 |
| No log | 10.0 | 40 | 1.2769 |
| No log | 11.0 | 44 | 1.2855 |
| No log | 12.0 | 48 | 1.1126 |
| No log | 13.0 | 52 | 1.1142 |
| No log | 14.0 | 56 | 1.2023 |
| No log | 15.0 | 60 | 1.1673 |
| No log | 16.0 | 64 | 1.1534 |
| No log | 17.0 | 68 | 1.2009 |
| No log | 18.0 | 72 | 1.1737 |
| No log | 19.0 | 76 | 1.1303 |
| No log | 20.0 | 80 | 1.0276 |
| No log | 21.0 | 84 | 1.0561 |
| No log | 22.0 | 88 | 1.0313 |
| No log | 23.0 | 92 | 1.0517 |
| No log | 24.0 | 96 | 1.0312 |
| No log | 25.0 | 100 | 1.0145 |
| No log | 26.0 | 104 | 1.0391 |
| No log | 27.0 | 108 | 1.0543 |
| No log | 28.0 | 112 | 1.0626 |
| No log | 29.0 | 116 | 1.0653 |
| No log | 30.0 | 120 | 1.0629 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.10.0+cu113
- Datasets 2.10.1
- Tokenizers 0.12.1
