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roberta-base-finetuned-mbti-0901
This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 4.0780
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: 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.3179 | 1.0 | 9920 | 4.1970 |
| 4.186 | 2.0 | 19840 | 4.1264 |
| 4.1057 | 3.0 | 29760 | 4.0955 |
| 4.0629 | 4.0 | 39680 | 4.0826 |
| 4.0333 | 5.0 | 49600 | 4.0780 |
Framework versions
- Transformers 4.21.2
- Pytorch 1.12.1
- Datasets 2.4.0
- Tokenizers 0.12.1
