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test_roberta
DanNgoaun/test_roberta
test_roberta is a text classification model from DanNgoaun. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as openrail++.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- openrail++
- Model type
- roberta
- Access
- Public
- Created
- Apr 21, 2025
- Updated
- Apr 22, 2025
- SHA
- 1de6805e
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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. -->
test_roberta
This model is a fine-tuned version of s-nlp/roberta_toxicity_classifier on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.3436
- Accuracy: 0.78
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: 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: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 100 | 0.5472 | 0.705 |
| No log | 2.0 | 200 | 0.7076 | 0.795 |
| No log | 3.0 | 300 | 1.3436 | 0.78 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cpu
- Datasets 3.5.0
- Tokenizers 0.21.1
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- openrail++
- Created
- Apr 21, 2025
- Updated
- Apr 22, 2025