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roberta-validation-goodareas
youralien/roberta-validation-goodareas
roberta-validation-goodareas is a text classification model from youralien. 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
- Jun 10, 2025
- Updated
- Jun 10, 2025
- SHA
- e936a77d
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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-Validation-goodareas-eval_FeedbackESConv5pp_CARE10pp-sweeps-current
This model is a fine-tuned version of FacebookAI/roberta-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7517
- Accuracy: 0.8331
- Precision: 0.4610
- Recall: 0.6017
- F1: 0.5221
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: 3.263554762497362e-06
- 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
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 0.533 | 1.0 | 486 | 0.3998 | 0.8485 | 0.0 | 0.0 | 0.0 |
| 0.4106 | 2.0 | 972 | 0.3184 | 0.8601 | 0.5714 | 0.3051 | 0.3978 |
| 0.3506 | 3.0 | 1458 | 0.3458 | 0.8665 | 0.5778 | 0.4407 | 0.5 |
| 0.3103 | 4.0 | 1944 | 0.3449 | 0.8460 | 0.4926 | 0.5678 | 0.5276 |
| 0.2684 | 5.0 | 2430 | 0.3504 | 0.8472 | 0.4959 | 0.5085 | 0.5021 |
| 0.2295 | 6.0 | 2916 | 0.4242 | 0.8588 | 0.5299 | 0.6017 | 0.5635 |
| 0.1905 | 7.0 | 3402 | 0.5236 | 0.8549 | 0.5191 | 0.5763 | 0.5462 |
| 0.1614 | 8.0 | 3888 | 0.6659 | 0.8434 | 0.4859 | 0.5847 | 0.5308 |
| 0.1499 | 9.0 | 4374 | 0.7185 | 0.8421 | 0.4825 | 0.5847 | 0.5287 |
| 0.1347 | 10.0 | 4860 | 0.7517 | 0.8331 | 0.4610 | 0.6017 | 0.5221 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.5.1+cu124
- Datasets 2.21.0
- Tokenizers 0.21.0
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- Jun 10, 2025
- Updated
- Jun 10, 2025