roberta-base
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2411
- Precision: 0.7946
- Recall: 0.8651
- F1: 0.8284
- Accuracy: 0.9258
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
---|---|---|---|---|---|---|---|
0.264 | 1.0 | 1952 | 0.2411 | 0.7946 | 0.8651 | 0.8284 | 0.9258 |
0.2295 | 2.0 | 3904 | 0.2504 | 0.7773 | 0.8833 | 0.8269 | 0.9242 |
0.1835 | 3.0 | 5856 | 0.2428 | 0.8005 | 0.8911 | 0.8434 | 0.9294 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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