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twitter_RoBERTa_token_itr0_0.0001_all_01_03_2022-14_26_43
This model is a fine-tuned version of cardiffnlp/twitter-roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2591
- Precision: 0.4174
- Recall: 0.5678
- F1: 0.4811
- Accuracy: 0.8852
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: 0.0001
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 30 | 0.4690 | 0.3732 | 0.1830 | 0.2456 | 0.7509 |
| No log | 2.0 | 60 | 0.3936 | 0.2067 | 0.3559 | 0.2615 | 0.7851 |
| No log | 3.0 | 90 | 0.3019 | 0.3658 | 0.4904 | 0.4190 | 0.8703 |
| No log | 4.0 | 120 | 0.2510 | 0.4387 | 0.5137 | 0.4732 | 0.8889 |
| No log | 5.0 | 150 | 0.2481 | 0.4196 | 0.5511 | 0.4764 | 0.8881 |
Framework versions
- Transformers 4.15.0
- Pytorch 1.10.1+cu113
- Datasets 1.18.0
- Tokenizers 0.10.3
