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twitter_RoBERTa_token_itr0_1e-05_essays_01_03_2022-14_58_58
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: 0.2698
- Precision: 0.3554
- Recall: 0.4884
- F1: 0.4114
- Accuracy: 0.8973
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: 1e-05
- 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 | 11 | 0.4423 | 0.0261 | 0.0184 | 0.0216 | 0.7728 |
No log | 2.0 | 22 | 0.3220 | 0.1256 | 0.3129 | 0.1793 | 0.8735 |
No log | 3.0 | 33 | 0.2561 | 0.2633 | 0.4264 | 0.3255 | 0.9103 |
No log | 4.0 | 44 | 0.2535 | 0.3303 | 0.4509 | 0.3813 | 0.9115 |
No log | 5.0 | 55 | 0.2414 | 0.3696 | 0.4693 | 0.4135 | 0.9181 |
Framework versions
- Transformers 4.15.0
- Pytorch 1.10.1+cu113
- Datasets 1.18.0
- Tokenizers 0.10.3