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arg-quality
austenem/arg-quality
arg-quality is a text classification model from austenem. 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
- distilbert
- Access
- Public
- Created
- May 6, 2024
- Updated
- May 6, 2024
- SHA
- 4fa3777a
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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. -->
arg-quality
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.7867
- Accuracy: 0.1867
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 3.732 | 1.0 | 1512 | 3.7987 | 0.1886 |
| 3.6107 | 2.0 | 3024 | 3.7857 | 0.1886 |
| 3.6259 | 3.0 | 4536 | 3.7956 | 0.1886 |
| 3.6123 | 4.0 | 6048 | 3.7843 | 0.1878 |
| 3.6523 | 5.0 | 7560 | 3.7867 | 0.1867 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- May 6, 2024
- Updated
- May 6, 2024