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ai-detect-1
mekjr1/ai-detect-1
ai-detect-1 is a text classification model from mekjr1. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- longformer
- Access
- Public
- Created
- Oct 19, 2024
- Updated
- Oct 19, 2024
- SHA
- 54f9cce4
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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. -->
ai-detect-1
This model is a fine-tuned version of allenai/longformer-base-4096 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3665
- Accuracy: 0.9375
- Precision: 0.9149
- Recall: 0.9925
- F1: 0.9521
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 0.1402 | 1.0 | 1563 | 0.1507 | 0.9446 | 0.9290 | 0.9869 | 0.9571 |
| 0.0816 | 2.0 | 3126 | 0.3058 | 0.9268 | 0.9032 | 0.9890 | 0.9442 |
| 0.0406 | 3.0 | 4689 | 0.4682 | 0.9129 | 0.8876 | 0.9856 | 0.9341 |
| 0.0178 | 4.0 | 6252 | 0.3665 | 0.9375 | 0.9149 | 0.9925 | 0.9521 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- longformer
- License
- apache-2.0
- Created
- Oct 19, 2024
- Updated
- Oct 19, 2024