thesis
This model is a fine-tuned version of google/bert_uncased_L-2_H-128_A-2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.7609
- Accuracy: 0.7546
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: 3.0969456495664865e-05
- train_batch_size: 128
- eval_batch_size: 128
- seed: 33
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 3.5143 | 1.0 | 527 | 2.7609 | 0.7546 |
Framework versions
- Transformers 4.36.2
- Pytorch 1.12.0
- Datasets 2.16.1
- Tokenizers 0.15.0
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Base model
google/bert_uncased_L-2_H-128_A-2