Roberta_news_classification_text_title_Lora
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0284
- F1: 0.9874
- Acc: 0.9870
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Acc |
|---|---|---|---|---|---|
| 0.2083 | 1.0 | 1521 | 0.0322 | 0.9858 | 0.9854 |
| 0.0334 | 2.0 | 3042 | 0.0291 | 0.9866 | 0.9862 |
| 0.03 | 3.0 | 4563 | 0.0284 | 0.9874 | 0.9870 |
Framework versions
- PEFT 0.14.0
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.2.0
- Tokenizers 0.19.1
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Model tree for Sharpaxis/Roberta_news_classification_text_title_Lora
Base model
FacebookAI/roberta-base