QA_BERT_15_epoch
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.2610
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: 160
- eval_batch_size: 5
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 2 | 5.4152 |
| No log | 2.0 | 4 | 4.5589 |
| No log | 3.0 | 6 | 4.0069 |
| No log | 4.0 | 8 | 3.7323 |
| No log | 5.0 | 10 | 3.6285 |
| No log | 6.0 | 12 | 3.5584 |
| No log | 7.0 | 14 | 3.4614 |
| No log | 8.0 | 16 | 3.4109 |
| No log | 9.0 | 18 | 3.3767 |
| No log | 10.0 | 20 | 3.3450 |
| No log | 11.0 | 22 | 3.3027 |
| No log | 12.0 | 24 | 3.2725 |
| No log | 13.0 | 26 | 3.2648 |
| No log | 14.0 | 28 | 3.2638 |
| No log | 15.0 | 30 | 3.2610 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.14.7
- Tokenizers 0.15.0
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