HomophobicClassfication_roberta-large_fineTuned_model2
This model is a fine-tuned version of FacebookAI/roberta-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.1747
- Accuracy: 0.6692
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 373 | 1.3208 | 0.7594 |
| 0.2681 | 2.0 | 746 | 1.7243 | 0.7567 |
| 0.0302 | 3.0 | 1119 | 3.1075 | 0.6654 |
| 0.0302 | 4.0 | 1492 | 3.1747 | 0.6692 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Base model
FacebookAI/roberta-large