distilbert-base-uncased-finetuned-squad
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.3618
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.8524 | 0.2711 | 1500 | 1.2645 |
| 0.7508 | 0.5422 | 3000 | 1.2776 |
| 0.7105 | 0.8133 | 4500 | 1.2793 |
| 0.6261 | 1.0844 | 6000 | 1.5100 |
| 0.4492 | 1.3555 | 7500 | 1.4754 |
| 0.7289 | 1.6266 | 9000 | 1.2560 |
| 0.7526 | 1.8977 | 10500 | 1.2356 |
| 0.6204 | 2.1688 | 12000 | 1.3780 |
| 0.5492 | 2.4399 | 13500 | 1.3522 |
| 0.534 | 2.7110 | 15000 | 1.3761 |
| 0.5376 | 2.9821 | 16500 | 1.3618 |
Framework versions
- Transformers 4.41.0.dev0
- Pytorch 2.2.2+cu118
- Datasets 2.19.0
- Tokenizers 0.19.1
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Model tree for soikit/distilbert-base-uncased-finetuned-squad
Base model
distilbert/distilbert-base-uncased