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mdeberta-domain_EN_fold2
g-assismoraes/mdeberta-domain_EN_fold2
mdeberta-domain_EN_fold2 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
- d06ded90
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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_EN_fold2
This model is a fine-tuned version of microsoft/deberta-v3-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4394
- Accuracy: 0.8207
- Precision: 0.7590
- Recall: 0.7755
- F1: 0.7645
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 |
|---|---|---|---|---|---|---|---|
| 1.0408 | 1.0 | 19 | 0.8182 | 0.5931 | 0.8644 | 0.3333 | 0.2482 |
| 0.7383 | 2.0 | 38 | 0.6728 | 0.5931 | 0.8644 | 0.3333 | 0.2482 |
| 0.6381 | 3.0 | 57 | 0.6066 | 0.7862 | 0.8283 | 0.6696 | 0.6001 |
| 0.5638 | 4.0 | 76 | 0.5272 | 0.7931 | 0.7363 | 0.6804 | 0.6422 |
| 0.4701 | 5.0 | 95 | 0.4757 | 0.7931 | 0.7324 | 0.6811 | 0.6138 |
| 0.4087 | 6.0 | 114 | 0.4957 | 0.8 | 0.7199 | 0.6911 | 0.6670 |
| 0.3438 | 7.0 | 133 | 0.5317 | 0.7862 | 0.7128 | 0.6673 | 0.6757 |
| 0.281 | 8.0 | 152 | 0.4456 | 0.8069 | 0.7325 | 0.7532 | 0.7376 |
| 0.2428 | 9.0 | 171 | 0.4442 | 0.8069 | 0.7445 | 0.7677 | 0.7540 |
| 0.2166 | 10.0 | 190 | 0.4394 | 0.8207 | 0.7590 | 0.7755 | 0.7645 |
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