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Models-RoBERTa-1716096876.881274
Edgar-00/Models-RoBERTa-1716096876.881274
Models-RoBERTa-1716096876.881274 is a text classification model from Edgar-00. 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
- 2822cbec
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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. -->
Models-RoBERTa-1716096876.881274
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5419
- Accuracy: 0.8402
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: 2e-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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.2454 | 1.0 | 2455 | 0.6477 | 0.8280 |
| 0.2818 | 2.0 | 4910 | 0.5419 | 0.8402 |
| 0.1916 | 3.0 | 7365 | 0.7124 | 0.8394 |
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