yn_answer
This model is a fine-tuned version of bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7690
- Accuracy: 0.8519
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: 5e-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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.4858 | 1.0 | 631 | 0.3401 | 0.8555 |
| 0.2667 | 2.0 | 1262 | 0.4624 | 0.8447 |
| 0.1424 | 3.0 | 1893 | 0.7690 | 0.8519 |
Framework versions
- Transformers 4.34.0
- Pytorch 1.13.0a0+git6c9b55e
- Datasets 2.14.5
- Tokenizers 0.14.1
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Model tree for roaltopo/scan-u-doc_bool-answer
Base model
google-bert/bert-base-uncased