results
This model is a fine-tuned version of cardiffnlp/twitter-roberta-base-sentiment-latest on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.3596
- F1: 0.6667
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: 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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| No log | 1.0 | 1 | 0.1675 | 1.0 |
| No log | 2.0 | 2 | 0.1390 | 1.0 |
| No log | 3.0 | 3 | 0.1138 | 1.0 |
Framework versions
- Transformers 5.14.1
- Pytorch 2.11.0+cpu
- Datasets 5.0.1
- Tokenizers 0.22.2
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