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distilroberta-mbfc-bias-4class
This model is a fine-tuned version of distilroberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5336
- Acc: 0.8503
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: 3e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 12345
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 16
- num_epochs: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Acc |
|---|---|---|---|---|
| 0.488 | 1.0 | 584 | 0.3702 | 0.8519 |
| 0.3544 | 2.0 | 1168 | 0.3531 | 0.8575 |
| 0.3602 | 3.0 | 1752 | 0.3068 | 0.8896 |
| 0.2555 | 4.0 | 2336 | 0.3560 | 0.8715 |
| 0.1695 | 5.0 | 2920 | 0.3896 | 0.8704 |
| 0.117 | 6.0 | 3504 | 0.5336 | 0.8503 |
Framework versions
- Transformers 4.11.3
- Pytorch 1.10.1
- Datasets 1.17.0
- Tokenizers 0.10.3
