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PsyDefDetect_roberta-base_unmerged_lr-5
C-L-V/PsyDefDetect_roberta-base_unmerged_lr-5
PsyDefDetect_roberta-base_unmerged_lr-5 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
- e8e5c967
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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-5
This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.8870
- Accuracy: 0.4397
- Macro F1: 0.2150
- Weighted F1: 0.4505
- Macro Precision: 0.2108
- Macro Recall: 0.2508
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: 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 |
|---|---|---|---|---|---|---|---|---|
| 2.1851 | 1.0 | 187 | 2.1161 | 0.4584 | 0.1467 | 0.4180 | 0.1494 | 0.1579 |
| 2.0352 | 2.0 | 374 | 2.0167 | 0.4155 | 0.1544 | 0.3963 | 0.1408 | 0.1849 |
| 1.8400 | 3.0 | 561 | 1.8868 | 0.4370 | 0.2143 | 0.4482 | 0.2104 | 0.2503 |
| 1.6637 | 4.0 | 748 | 1.9310 | 0.4638 | 0.2119 | 0.4706 | 0.2152 | 0.2271 |
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