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distilbert-base-uncased-distilled-squad-coffee20230108
This model is a fine-tuned version of distilbert-base-uncased-distilled-squad on the None dataset. It achieves the following results on the evaluation set:
- Loss: 4.3444
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 89 | 1.9198 |
| 2.3879 | 2.0 | 178 | 1.8526 |
| 1.5528 | 3.0 | 267 | 1.8428 |
| 1.1473 | 4.0 | 356 | 2.4035 |
| 0.7375 | 5.0 | 445 | 2.3232 |
| 0.5986 | 6.0 | 534 | 2.4550 |
| 0.4252 | 7.0 | 623 | 3.2831 |
| 0.2612 | 8.0 | 712 | 3.2129 |
| 0.143 | 9.0 | 801 | 3.7849 |
| 0.143 | 10.0 | 890 | 3.8476 |
| 0.0984 | 11.0 | 979 | 4.1742 |
| 0.0581 | 12.0 | 1068 | 4.3476 |
| 0.0157 | 13.0 | 1157 | 4.3818 |
| 0.0131 | 14.0 | 1246 | 4.3357 |
| 0.0059 | 15.0 | 1335 | 4.3444 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.11.0+cu113
- Datasets 2.8.0
- Tokenizers 0.13.2
