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twitter-roberta-base-sentiment_token_itr0_2e-05_all_01_03_2022-04_19_45
This model is a fine-tuned version of cardiffnlp/twitter-roberta-base-sentiment on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2858
- Precision: 0.3206
- Recall: 0.4721
- F1: 0.3819
- Accuracy: 0.8762
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: 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 | 0.3772 | 0.0269 | 0.0326 | 0.0294 | 0.8143 |
| No log | 2.0 | 60 | 0.3052 | 0.2015 | 0.3596 | 0.2583 | 0.8537 |
| No log | 3.0 | 90 | 0.2937 | 0.2737 | 0.4273 | 0.3337 | 0.8722 |
| No log | 4.0 | 120 | 0.2852 | 0.2728 | 0.4348 | 0.3353 | 0.8750 |
| No log | 5.0 | 150 | 0.2676 | 0.2851 | 0.4474 | 0.3483 | 0.8797 |
Framework versions
- Transformers 4.15.0
- Pytorch 1.10.1+cu113
- Datasets 1.18.0
- Tokenizers 0.10.3
