<!-- 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-finetuned-lr1e-06-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: 4.6132
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-06
- 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 | 5.6593 |
| No log | 2.0 | 20 | 5.2648 |
| No log | 3.0 | 30 | 5.0527 |
| No log | 4.0 | 40 | 4.9205 |
| No log | 5.0 | 50 | 4.8196 |
| No log | 6.0 | 60 | 4.7436 |
| No log | 7.0 | 70 | 4.6878 |
| No log | 8.0 | 80 | 4.6452 |
| No log | 9.0 | 90 | 4.6218 |
| No log | 10.0 | 100 | 4.6132 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
