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deberta-v3-small-test_ver1
YujiK/deberta-v3-small-test_ver1
deberta-v3-small-test_ver1 is a text classification model from YujiK. 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 6, 2022
- Updated
- Oct 6, 2022
- SHA
- 30e07796
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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. -->
deberta-v3-small-test_ver1
This model is a fine-tuned version of microsoft/deberta-v3-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7818
- Pearson: 0.8125
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
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Pearson |
|---|---|---|---|---|
| 0.8486 | 1.0 | 2052 | 0.7806 | 0.7692 |
| 0.6951 | 2.0 | 4104 | 0.7546 | 0.7934 |
| 0.5971 | 3.0 | 6156 | 0.7366 | 0.8085 |
| 0.4998 | 4.0 | 8208 | 0.7407 | 0.8136 |
| 0.4407 | 5.0 | 10260 | 0.7818 | 0.8125 |
Framework versions
- Transformers 4.22.2
- Pytorch 1.12.1+cu113
- Datasets 2.5.2
- Tokenizers 0.12.1
- Task
- Text Classification
- Library
- transformers
- Type
- deberta-v2
- License
- mit
- Created
- Oct 6, 2022
- Updated
- Oct 6, 2022