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deberta-v3-small-finetuned-mrpc
mrm8488/deberta-v3-small-finetuned-mrpc
deberta-v3-small-finetuned-mrpc is a text classification model from mrm8488. 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
- Mar 2, 2022
- Updated
- Dec 5, 2022
- SHA
- 42e847b9
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Datasets
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) fine-tuned on MRPC
This model is a fine-tuned version of microsoft/deberta-v3-small on the GLUE MRPC dataset. It achieves the following results on the evaluation set:
- Loss: 0.2787
- Accuracy: 0.8922
- F1: 0.9233
- Combined Score: 0.9078
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: 3e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Combined Score |
|---|---|---|---|---|---|---|
| No log | 1.0 | 230 | 0.2787 | 0.8922 | 0.9233 | 0.9078 |
| No log | 2.0 | 460 | 0.3651 | 0.875 | 0.9137 | 0.8944 |
| No log | 3.0 | 690 | 0.5238 | 0.8799 | 0.9179 | 0.8989 |
| No log | 4.0 | 920 | 0.4712 | 0.8946 | 0.9222 | 0.9084 |
| 0.2147 | 5.0 | 1150 | 0.5704 | 0.8946 | 0.9262 | 0.9104 |
| 0.2147 | 6.0 | 1380 | 0.5697 | 0.8995 | 0.9284 | 0.9140 |
| 0.2147 | 7.0 | 1610 | 0.6651 | 0.8922 | 0.9214 | 0.9068 |
| 0.2147 | 8.0 | 1840 | 0.6726 | 0.8946 | 0.9239 | 0.9093 |
| 0.0183 | 9.0 | 2070 | 0.7250 | 0.8848 | 0.9177 | 0.9012 |
| 0.0183 | 10.0 | 2300 | 0.7093 | 0.8922 | 0.9223 | 0.9072 |
Framework versions
- Transformers 4.13.0.dev0
- Pytorch 1.10.0+cu111
- Datasets 1.15.1
- Tokenizers 0.10.3
- Task
- Text Classification
- Library
- transformers
- Type
- deberta-v2
- License
- mit
- Languages
- en
- Created
- Mar 2, 2022
- Updated
- Dec 5, 2022