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artificially-natural-roberta-Jan-2024
ConnyGenz/artificially-natural-roberta-Jan-2024
artificially-natural-roberta-Jan-2024 is a text classification model from ConnyGenz. 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
- Feb 13, 2024
- Updated
- Feb 13, 2024
- SHA
- af7d97ec
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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. -->
artificially-natural-roberta-Jan-2024
This model is a fine-tuned version of roberta-base-openai-detector on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2306
- F1: 0.96
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 | F1 |
|---|---|---|---|---|
| No log | 1.0 | 250 | 0.1632 | 0.968 |
| 0.1042 | 2.0 | 500 | 0.1701 | 0.972 |
| 0.1042 | 3.0 | 750 | 0.2306 | 0.96 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.1
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- Feb 13, 2024
- Updated
- Feb 13, 2024