roberta-large-soict-v1
This model is a fine-tuned version of roberta-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.1450
- Accuracy: 0.5454
- F1 Score: 0.5304
Model description
More information needed
Intended uses & limitations
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Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-06
- train_batch_size: 4
- eval_batch_size: 4
- 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 Score |
|---|---|---|---|---|---|
| 0.9626 | 1.0 | 676 | 1.1295 | 0.5009 | 0.4873 |
| 0.6723 | 2.0 | 1352 | 1.8045 | 0.5241 | 0.5076 |
| 0.5161 | 3.0 | 2028 | 2.1450 | 0.5454 | 0.5304 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
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Model tree for hoanghoavienvo/roberta-large-soict-v1
Base model
FacebookAI/roberta-large