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roberta-base-finetuned-sst2
cyyeee/roberta-base-finetuned-sst2
roberta-base-finetuned-sst2 is a text classification model from cyyeee. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- roberta
- Access
- Public
- Created
- Dec 1, 2025
- Updated
- Dec 2, 2025
- SHA
- 035f5b41
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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. -->
roberta-base-finetuned-sst2
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3773
- Accuracy: 0.9335
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: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.2104 | 1.0 | 4210 | 0.2345 | 0.9300 |
| 0.1744 | 2.0 | 8420 | 0.2990 | 0.9312 |
| 0.1272 | 3.0 | 12630 | 0.3119 | 0.9300 |
| 0.1004 | 4.0 | 16840 | 0.3414 | 0.9300 |
| 0.0767 | 5.0 | 21050 | 0.3773 | 0.9335 |
Framework versions
- Transformers 4.57.2
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- Dec 1, 2025
- Updated
- Dec 2, 2025