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roberta-Validation-badareas-eval_FeedbackESConv5pp_CARE10pp-sweeps-current
youralien/roberta-Validation-badareas-eval_FeedbackESConv5pp_CARE10pp-sweeps-current
roberta-Validation-badareas-eval_FeedbackESConv5pp_CARE10pp-sweeps-current 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
- Mar 8, 2025
- Updated
- Mar 8, 2025
- SHA
- 7b21ee39
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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-badareas-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: 0.1276
- Accuracy: 0.9435
- Precision: 0.0
- Recall: 0.0
- F1: 0.0
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: 7.297796975425318e-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
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 0.3889 | 1.0 | 126 | 0.1070 | 0.9435 | 0.0 | 0.0 | 0.0 |
| 0.3832 | 2.0 | 252 | 0.1594 | 0.9435 | 0.0 | 0.0 | 0.0 |
| 0.3767 | 3.0 | 378 | 0.1043 | 0.9435 | 0.0 | 0.0 | 0.0 |
| 0.3708 | 4.0 | 504 | 0.1306 | 0.9435 | 0.0 | 0.0 | 0.0 |
| 0.3657 | 5.0 | 630 | 0.1226 | 0.9435 | 0.0 | 0.0 | 0.0 |
| 0.3742 | 6.0 | 756 | 0.1147 | 0.9435 | 0.0 | 0.0 | 0.0 |
| 0.3699 | 7.0 | 882 | 0.1543 | 0.9435 | 0.0 | 0.0 | 0.0 |
| 0.3668 | 8.0 | 1008 | 0.1373 | 0.9435 | 0.0 | 0.0 | 0.0 |
| 0.3689 | 9.0 | 1134 | 0.1273 | 0.9435 | 0.0 | 0.0 | 0.0 |
| 0.3687 | 10.0 | 1260 | 0.1276 | 0.9435 | 0.0 | 0.0 | 0.0 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu124
- Datasets 2.21.0
- Tokenizers 0.21.0
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- Mar 8, 2025
- Updated
- Mar 8, 2025