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roberta-Validation-goodareas-eval_FeedbackESConv5pp_CARE10pp-sweeps-current
youralien/roberta-Validation-goodareas-eval_FeedbackESConv5pp_CARE10pp-sweeps-current
roberta-Validation-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 11, 2025
- Updated
- Mar 12, 2025
- SHA
- b8f08a1f
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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: 0.3698
- Accuracy: 0.8216
- Precision: 0.4348
- Recall: 0.5932
- F1: 0.5018
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: 1.6142257525574262e-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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 0.4927 | 1.0 | 296 | 0.2877 | 0.8434 | 0.4792 | 0.3898 | 0.4299 |
| 0.3855 | 2.0 | 592 | 0.2566 | 0.8665 | 0.5714 | 0.4746 | 0.5185 |
| 0.3257 | 3.0 | 888 | 0.2534 | 0.8575 | 0.5368 | 0.4322 | 0.4789 |
| 0.2553 | 4.0 | 1184 | 0.3290 | 0.8216 | 0.4371 | 0.6186 | 0.5123 |
| 0.1911 | 5.0 | 1480 | 0.3698 | 0.8216 | 0.4348 | 0.5932 | 0.5018 |
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
- Mar 11, 2025
- Updated
- Mar 12, 2025