tripadvisor-cardiff-3class
This model is a fine-tuned version of cardiffnlp/twitter-roberta-base-sentiment-latest on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3824
- Accuracy: 0.855
- F1 Macro: 0.8143
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: 32
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro |
|---|---|---|---|---|---|
| 0.3952 | 1.0 | 375 | 0.4013 | 0.837 | 0.7866 |
| 0.2983 | 2.0 | 750 | 0.3956 | 0.852 | 0.8206 |
Framework versions
- Transformers 4.57.6
- Pytorch 2.12.0
- Datasets 4.8.5
- Tokenizers 0.22.2
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