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factchecker_v1
athugodage/factchecker_v1
factchecker_v1 is a text classification model from athugodage. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- eurobert
- Access
- Public
- Created
- Mar 12, 2025
- Updated
- Mar 12, 2025
- SHA
- 9f45cee7
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Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
factchecker_v1
This model is a fine-tuned version of EuroBERT/EuroBERT-610m on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.4174
- Accuracy: 0.6269
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-06
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 375 | 1.3092 | 0.4179 |
| 1.4125 | 2.0 | 750 | 1.4722 | 0.5970 |
| 1.4316 | 3.0 | 1125 | 2.0787 | 0.6269 |
| 0.9881 | 4.0 | 1500 | 2.4174 | 0.6269 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0
- Task
- Text Classification
- Library
- transformers
- Type
- eurobert
- License
- apache-2.0
- Created
- Mar 12, 2025
- Updated
- Mar 12, 2025