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gender-play-gysbert-4
awlassche/gender-play-gysbert-4
gender-play-gysbert-4 is a text classification model from awlassche. 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
- bert
- Access
- Public
- Created
- May 6, 2024
- Updated
- May 7, 2024
- SHA
- d028a8fb
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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. -->
results
This model is a fine-tuned version of emanjavacas/GysBERT on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7320
- Accuracy: 0.67
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: 5e-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 |
|---|---|---|---|---|
| 0.6942 | 0.5 | 100 | 0.6479 | 0.6362 |
| 0.6737 | 1.0 | 200 | 0.6268 | 0.6613 |
| 0.5821 | 1.5 | 300 | 0.6617 | 0.6425 |
| 0.5568 | 2.0 | 400 | 0.6319 | 0.6787 |
| 0.4397 | 2.5 | 500 | 0.6804 | 0.6625 |
| 0.3827 | 3.0 | 600 | 0.7320 | 0.67 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- mit
- Created
- May 6, 2024
- Updated
- May 7, 2024