result4
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: 1.0109
- Accuracy: 0.6581
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: 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.9359 | 1.0 | 723 | 0.8281 | 0.5875 |
| 0.8173 | 2.0 | 1446 | 0.7763 | 0.6291 |
| 0.619 | 3.0 | 2169 | 0.8050 | 0.6491 |
| 0.5062 | 4.0 | 2892 | 0.8783 | 0.6585 |
| 0.3474 | 5.0 | 3615 | 1.0109 | 0.6581 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.2.2+cu118
- Datasets 3.0.1
- Tokenizers 0.20.0
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