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Models-RoBERTa-1716107724.721151
leondu/Models-RoBERTa-1716107724.721151
Models-RoBERTa-1716107724.721151 is a text classification model from leondu. 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
- May 19, 2024
- Updated
- May 19, 2024
- SHA
- b49e7a61
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. -->
Models-RoBERTa-1716107724.721151
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1830
- Accuracy: 0.8276
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: 3e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.2424 | 1.0 | 1250 | 1.0508 | 0.7711 |
| 0.1688 | 2.0 | 2500 | 1.0354 | 0.8053 |
| 0.165 | 3.0 | 3750 | 0.9323 | 0.8220 |
| 0.1352 | 4.0 | 5000 | 1.0581 | 0.8228 |
| 0.076 | 5.0 | 6250 | 1.1830 | 0.8276 |
Framework versions
- Transformers 4.41.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- May 19, 2024
- Updated
- May 19, 2024