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veb/twitch-roberta-base-sentiment-latest
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:
- Train Loss: 1.0941
- Train Sparse Categorical Accuracy: 0.375
- Validation Loss: 1.0186
- Validation Sparse Categorical Accuracy: 0.3333
- Epoch: 2
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:
- optimizer: {'name': 'Adam', 'learning_rate': 5e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32
Training results
| Train Loss | Train Sparse Categorical Accuracy | Validation Loss | Validation Sparse Categorical Accuracy | Epoch |
|---|---|---|---|---|
| 1.1272 | 0.3281 | 1.0190 | 0.3333 | 0 |
| 1.1254 | 0.2969 | 1.1164 | 0.0 | 1 |
| 1.0941 | 0.375 | 1.0186 | 0.3333 | 2 |
Framework versions
- Transformers 4.19.2
- TensorFlow 2.7.0
- Datasets 2.2.2
- Tokenizers 0.12.1
