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roberta-Questions-goodareas-eval_FeedbackESConv5pp_CARE10pp-sweeps-current
youralien/roberta-Questions-goodareas-eval_FeedbackESConv5pp_CARE10pp-sweeps-current
roberta-Questions-goodareas-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 7, 2025
- Updated
- Mar 7, 2025
- SHA
- aa3c4d50
Try a prompt
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-Questions-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: 0.3383
- Accuracy: 0.7779
- Precision: 0.7070
- Recall: 0.7327
- F1: 0.7196
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: 4.644245636275765e-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
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 0.4744 | 1.0 | 211 | 0.4009 | 0.7535 | 0.648 | 0.8020 | 0.7168 |
| 0.4195 | 2.0 | 422 | 0.3830 | 0.7908 | 0.6570 | 0.9670 | 0.7824 |
| 0.4123 | 3.0 | 633 | 0.3212 | 0.6187 | 0.8 | 0.0264 | 0.0511 |
| 0.3824 | 4.0 | 844 | 0.3383 | 0.7779 | 0.7070 | 0.7327 | 0.7196 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 2.21.0
- Tokenizers 0.21.0
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- Mar 7, 2025
- Updated
- Mar 7, 2025