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: 3.2692
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 64 | 4.0862 |
| No log | 2.0 | 128 | 3.5410 |
| No log | 3.0 | 192 | 3.3521 |
| No log | 4.0 | 256 | 3.2809 |
| No log | 5.0 | 320 | 3.2692 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.12.1
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