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distilbert-finetuned-lr1e-05-epochs10
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: 2.9712
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 10 | 4.0485 |
| No log | 2.0 | 20 | 3.4030 |
| No log | 3.0 | 30 | 3.2467 |
| No log | 4.0 | 40 | 3.0756 |
| No log | 5.0 | 50 | 2.9987 |
| No log | 6.0 | 60 | 2.9775 |
| No log | 7.0 | 70 | 2.9824 |
| No log | 8.0 | 80 | 3.0044 |
| No log | 9.0 | 90 | 2.9833 |
| No log | 10.0 | 100 | 2.9712 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
