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PsyDefDetect_roberta-base_unmerged_lr-6
C-L-V/PsyDefDetect_roberta-base_unmerged_lr-6
PsyDefDetect_roberta-base_unmerged_lr-6 is a text classification model from C-L-V. 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
- Mar 29, 2026
- Updated
- Mar 29, 2026
- SHA
- 7b606857
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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. -->
PsyDefDetect_roberta-base_unmerged_lr-6
This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.1939
- Accuracy: 0.4665
- Macro F1: 0.1220
- Weighted F1: 0.3859
- Macro Precision: 0.1096
- Macro Recall: 0.1410
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-06
- train_batch_size: 8
- eval_batch_size: 8
- 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: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Macro F1 | Weighted F1 | Macro Precision | Macro Recall |
|---|---|---|---|---|---|---|---|---|
| 2.2124 | 1.0 | 187 | 2.1871 | 0.1448 | 0.0301 | 0.0414 | 0.0175 | 0.1053 |
| 2.1831 | 2.0 | 374 | 2.1843 | 0.3941 | 0.1187 | 0.3546 | 0.1050 | 0.1401 |
| 2.1485 | 3.0 | 561 | 2.1939 | 0.4665 | 0.1220 | 0.3865 | 0.1093 | 0.1410 |
| 2.1490 | 4.0 | 748 | 2.1951 | 0.4826 | 0.1150 | 0.3838 | 0.0974 | 0.1412 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- Mar 29, 2026
- Updated
- Mar 29, 2026