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mdeberta-domain_fold5
g-assismoraes/mdeberta-domain_fold5
mdeberta-domain_fold5 is a text classification model from g-assismoraes. 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
- deberta-v2
- Access
- Public
- Created
- Oct 28, 2024
- Updated
- Oct 28, 2024
- SHA
- 9eabf557
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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. -->
mdeberta-domain_fold5
This model is a fine-tuned version of microsoft/mdeberta-v3-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4206
- Accuracy: 0.8414
- Precision: 0.7995
- Recall: 0.7901
- F1: 0.7936
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 1.0403 | 1.0 | 19 | 0.9022 | 0.5931 | 0.8644 | 0.3333 | 0.2482 |
| 0.9013 | 2.0 | 38 | 0.7107 | 0.5931 | 0.8644 | 0.3333 | 0.2482 |
| 0.7025 | 3.0 | 57 | 0.6741 | 0.5931 | 0.8644 | 0.3333 | 0.2482 |
| 0.6311 | 4.0 | 76 | 0.6019 | 0.8069 | 0.7923 | 0.6793 | 0.6529 |
| 0.4861 | 5.0 | 95 | 0.5166 | 0.8345 | 0.7768 | 0.7337 | 0.7389 |
| 0.35 | 6.0 | 114 | 0.4450 | 0.8552 | 0.8224 | 0.7750 | 0.7835 |
| 0.2917 | 7.0 | 133 | 0.4209 | 0.8621 | 0.8313 | 0.7937 | 0.7994 |
| 0.2639 | 8.0 | 152 | 0.4587 | 0.8276 | 0.8082 | 0.7767 | 0.7856 |
| 0.1817 | 9.0 | 171 | 0.4272 | 0.8345 | 0.7866 | 0.7859 | 0.7838 |
| 0.2086 | 10.0 | 190 | 0.4206 | 0.8414 | 0.7995 | 0.7901 | 0.7936 |
Framework versions
- Transformers 4.46.0
- Pytorch 2.3.1
- Datasets 2.21.0
- Tokenizers 0.20.1
- Task
- Text Classification
- Library
- transformers
- Type
- deberta-v2
- License
- mit
- Created
- Oct 28, 2024
- Updated
- Oct 28, 2024