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SST-2-FULL_FT-seed54
ekiprop/SST-2-FULL_FT-seed54
SST-2-FULL_FT-seed54 is a text classification model from ekiprop. 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
- Aug 6, 2025
- Updated
- Aug 6, 2025
- SHA
- b505c129
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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. -->
SST-2-FULL_FT-seed54
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1707
- Accuracy: 0.9484
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: 3e-05
- train_batch_size: 32
- eval_batch_size: 32
- 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: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.3775 | 0.0950 | 200 | 0.2434 | 0.9002 |
| 0.2933 | 0.1900 | 400 | 0.2036 | 0.9300 |
| 0.2686 | 0.2850 | 600 | 0.2099 | 0.9220 |
| 0.2333 | 0.3800 | 800 | 0.1805 | 0.9335 |
| 0.2146 | 0.4751 | 1000 | 0.3107 | 0.8933 |
| 0.1945 | 0.5701 | 1200 | 0.2015 | 0.9392 |
| 0.1948 | 0.6651 | 1400 | 0.1802 | 0.9450 |
| 0.1894 | 0.7601 | 1600 | 0.1832 | 0.9438 |
| 0.1858 | 0.8551 | 1800 | 0.1707 | 0.9484 |
| 0.1647 | 0.9501 | 2000 | 0.1831 | 0.9484 |
Framework versions
- Transformers 4.54.1
- Pytorch 2.5.1+cu121
- Datasets 4.0.0
- Tokenizers 0.21.4
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- Aug 6, 2025
- Updated
- Aug 6, 2025