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process-data
This model is a fine-tuned version of jhakaran1/bert-base-uncased-bert-mlm on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8087
- Accuracy: 0.6792
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.6939 | 1.0 | 3907 | 0.7903 | 0.6660 |
| 0.6155 | 2.0 | 7814 | 0.7929 | 0.6685 |
| 0.5436 | 3.0 | 11721 | 0.8087 | 0.6792 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.7.1
- Tokenizers 0.13.2
