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covid-augment-tweet-roberta-large-e4
This model is a fine-tuned version of Amalq/autotrain-smm4h_large_roberta_clean-874027878 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5214
- Accuracy: 0.9510
- F1: 0.8707
- Precision: 0.8562
- Recall: 0.8858
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
---|---|---|---|---|---|---|---|
0.1484 | 1.0 | 4089 | 0.4570 | 0.9265 | 0.8273 | 0.7358 | 0.9446 |
0.0738 | 2.0 | 8178 | 0.4873 | 0.9368 | 0.8414 | 0.7903 | 0.8997 |
0.0265 | 3.0 | 12267 | 0.4970 | 0.9484 | 0.8587 | 0.8773 | 0.8408 |
0.0043 | 4.0 | 16356 | 0.5214 | 0.9510 | 0.8707 | 0.8562 | 0.8858 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3