DriveFeelings-Roberta-sentiment-analyzer-for-twitter
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: 0.3098
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: 5e-05
- train_batch_size: 6
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5256 | 1.0 | 3350 | 0.4115 |
| 0.3777 | 2.0 | 6700 | 0.3490 |
| 0.4593 | 3.0 | 10050 | 0.2626 |
| 0.073 | 4.0 | 13400 | 0.3266 |
| 0.1437 | 5.0 | 16750 | 0.3098 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1+cu117
- Datasets 2.14.6
- Tokenizers 0.13.3
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