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DeBERTaV3_model_V3
sergiomvazq/DeBERTaV3_model_V3
DeBERTaV3_model_V3 is a text classification model from sergiomvazq. 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
- Jun 7, 2024
- Updated
- Jun 7, 2024
- SHA
- a48477dc
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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. -->
DeBERTaV3_model_V3
This model is a fine-tuned version of microsoft/deberta-v3-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1653
- Accuracy: 0.9454
- F1: 0.7754
- Precision: 0.7975
- Recall: 0.7545
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: 5
- eval_batch_size: 5
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 90 | 0.3559 | 0.875 | 0.0 | 0.0 | 0.0 |
| No log | 2.0 | 180 | 0.2851 | 0.9087 | 0.4602 | 0.8814 | 0.3114 |
| No log | 3.0 | 270 | 0.2462 | 0.9049 | 0.4940 | 0.7381 | 0.3713 |
| No log | 4.0 | 360 | 0.2183 | 0.9222 | 0.6232 | 0.7890 | 0.5150 |
| No log | 5.0 | 450 | 0.1938 | 0.9304 | 0.6869 | 0.7846 | 0.6108 |
| 0.2617 | 6.0 | 540 | 0.1804 | 0.9349 | 0.7129 | 0.7941 | 0.6467 |
| 0.2617 | 7.0 | 630 | 0.1752 | 0.9364 | 0.7231 | 0.7929 | 0.6647 |
| 0.2617 | 8.0 | 720 | 0.1719 | 0.9409 | 0.7539 | 0.7857 | 0.7246 |
| 0.2617 | 9.0 | 810 | 0.1676 | 0.9424 | 0.7601 | 0.7922 | 0.7305 |
| 0.2617 | 10.0 | 900 | 0.1653 | 0.9454 | 0.7754 | 0.7975 | 0.7545 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.1+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- deberta-v2
- License
- mit
- Created
- Jun 7, 2024
- Updated
- Jun 7, 2024