sentiment_roberta_twitter_airlines_10
This model is a fine-tuned version of cardiffnlp/twitter-roberta-base-sentiment-latest on the pachequinho/twitter_airlines_pos_neg_small dataset with only 10% of the training data. It achieves the following results on the evaluation set:
- Loss: 0.0625
- Accuracy: 0.9859
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 266 | 0.0937 | 0.9725 |
| 0.173 | 2.0 | 532 | 0.0625 | 0.9859 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3