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twitter-roberta-base-dec2021_rbam_fine_tuned
This model is a fine-tuned version of cardiffnlp/twitter-roberta-base-dec2021 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8295
- Accuracy: 0.6777
- Precision: 0.6743
- Recall: 0.6777
- F1: 0.6753
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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 0.8455 | 1.0 | 3264 | 0.7663 | 0.6661 | 0.6802 | 0.6661 | 0.6693 |
| 0.6421 | 2.0 | 6528 | 0.8295 | 0.6777 | 0.6743 | 0.6777 | 0.6753 |
Framework versions
- Transformers 4.17.0
- Pytorch 1.10.0+cu111
- Datasets 2.0.0
- Tokenizers 0.11.6
