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bert-base-uncased-bert-base-uncased-finetuned-mbti-0909
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 6.0549
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: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 5.2244 | 1.0 | 1735 | 5.7788 |
| 4.8483 | 2.0 | 3470 | 5.7647 |
| 4.7578 | 3.0 | 5205 | 5.9016 |
| 4.5606 | 4.0 | 6940 | 5.9895 |
| 4.4314 | 5.0 | 8675 | 6.0549 |
Framework versions
- Transformers 4.21.2
- Pytorch 1.12.1
- Datasets 2.4.0
- Tokenizers 0.12.1
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