output
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: 0.5333
- Accuracy: 0.786
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- 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 |
|---|---|---|---|---|
| 0.7137 | 0.5 | 500 | 0.6020 | 0.7675 |
| 0.6209 | 1.0 | 1000 | 0.5333 | 0.786 |
| 0.4622 | 1.5 | 1500 | 0.6210 | 0.792 |
| 0.4764 | 2.0 | 2000 | 0.7468 | 0.783 |
| 0.3036 | 2.5 | 2500 | 0.8896 | 0.795 |
| 0.2941 | 3.0 | 3000 | 0.8803 | 0.8035 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
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