test-trainer
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: 1.2045
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: 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
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
0.6957 | 0.38 | 100 | 1.1625 |
1.1736 | 0.76 | 200 | 1.1407 |
0.8794 | 1.14 | 300 | 1.1247 |
0.8277 | 1.52 | 400 | 1.1632 |
0.8723 | 1.9 | 500 | 1.1683 |
0.7154 | 2.28 | 600 | 1.1946 |
0.5999 | 2.66 | 700 | 1.2045 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
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