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results1
This model is a fine-tuned version of siebert/sentiment-roberta-large-english on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2845
- Accuracy: 0.933
- F1: 0.8024
- Precision: 0.8625
- Recall: 0.7632
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: 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: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.2661 | 1.0 | 2500 | 0.2845 | 0.933 | 0.8024 | 0.8625 | 0.7632 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.6.1
- Tokenizers 0.13.2
