twitter-roberta-base-sentiment-latest-biden-stance
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: 0.2317
- Accuracy: {'accuracy': 0.919375}
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: 0.001
- train_batch_size: 5
- eval_batch_size: 5
- 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 |
|---|---|---|---|---|
| 0.3777 | 1.0 | 2560 | 0.4193 | {'accuracy': 0.894375} |
| 0.2904 | 2.0 | 5120 | 0.2349 | {'accuracy': 0.915625} |
| 0.2553 | 3.0 | 7680 | 0.2317 | {'accuracy': 0.919375} |
Framework versions
- PEFT 0.10.0
- Transformers 4.38.2
- Pytorch 2.2.1
- Datasets 2.18.0
- Tokenizers 0.15.2
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