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bert-finetuned-squad-7-finetuned-081023-finetuned-091023
This model is a fine-tuned version of badokorach/bert-finetuned-squad-7-finetuned-081023 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.9877
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: cosine
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 66 | 4.7927 |
| No log | 2.0 | 132 | 4.8743 |
| No log | 3.0 | 198 | 5.0266 |
| No log | 4.0 | 264 | 4.9307 |
| No log | 5.0 | 330 | 4.9630 |
| No log | 6.0 | 396 | 5.0427 |
| No log | 7.0 | 462 | 4.9595 |
| 0.0001 | 8.0 | 528 | 5.0680 |
| 0.0001 | 9.0 | 594 | 5.0808 |
| 0.0001 | 10.0 | 660 | 4.9877 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
