roberta-large-finetuned-m_avoid_harm_seler
This model is a fine-tuned version of roberta-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4413
- Accuracy: 0.92
- F1: 0.9356
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: 32
- eval_batch_size: 32
- 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 | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.7289 | 1.0 | 51 | 0.6017 | 0.71 | 0.8017 |
| 0.6613 | 2.0 | 102 | 0.4646 | 0.785 | 0.8516 |
| 0.6402 | 3.0 | 153 | 0.4413 | 0.92 | 0.9356 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Tokenizers 0.19.1
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Base model
FacebookAI/roberta-large