roberta_large_yelp2class
This model is a fine-tuned version of FacebookAI/roberta-large on the yelp_polarity dataset. It achieves the following results on the evaluation set:
- Loss: 0.0859
- Accuracy: 0.9810
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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.0975 | 1.0 | 35000 | 0.1078 | 0.9779 |
| 0.0614 | 2.0 | 70000 | 0.0859 | 0.9810 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Base model
FacebookAI/roberta-large