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novo
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: 0.8419
- Accuracy: 0.8926
- F1: 0.6997
- Recall: 0.6785
- Precision: 0.7256
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Recall | Precision |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 247 | 0.3108 | 0.9007 | 0.5703 | 0.5571 | 0.8927 |
| No log | 2.0 | 494 | 0.3131 | 0.8926 | 0.6777 | 0.6337 | 0.7649 |
| 0.3289 | 3.0 | 741 | 0.5054 | 0.8896 | 0.6971 | 0.7116 | 0.6857 |
| 0.3289 | 4.0 | 988 | 0.6063 | 0.8987 | 0.7195 | 0.7089 | 0.7309 |
| 0.1268 | 5.0 | 1235 | 0.7100 | 0.8967 | 0.6993 | 0.6836 | 0.7173 |
| 0.1268 | 6.0 | 1482 | 0.7683 | 0.8977 | 0.7039 | 0.6861 | 0.7257 |
| 0.0346 | 7.0 | 1729 | 0.8041 | 0.8936 | 0.7012 | 0.6701 | 0.7415 |
| 0.0346 | 8.0 | 1976 | 0.8185 | 0.8956 | 0.6988 | 0.6815 | 0.7191 |
| 0.0107 | 9.0 | 2223 | 0.8280 | 0.8926 | 0.6943 | 0.6739 | 0.7185 |
| 0.0107 | 10.0 | 2470 | 0.8419 | 0.8926 | 0.6997 | 0.6785 | 0.7256 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3
