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deberta-v3-large-finetuned-sst2
kibru/deberta-v3-large-finetuned-sst2
deberta-v3-large-finetuned-sst2 is a machine learning model from kibru. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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Public
Updated Oct 13, 2023
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At a glance
- License
- mit
- Access
- Public
- Created
- Oct 13, 2023
- Updated
- Oct 13, 2023
- SHA
- 23d771b4
Base models
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-large-finetuned-sst2
This model is a fine-tuned version of microsoft/deberta-v3-large on the glue dataset. It achieves the following results on the evaluation set:
- Loss: 0.1258
- Accuracy: 0.9622
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: 0.0005
- train_batch_size: 16
- eval_batch_size: 16
- seed: 0
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.06
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.1173 | 1.0 | 4210 | 0.1258 | 0.9622 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
- License
- mit
- Created
- Oct 13, 2023
- Updated
- Oct 13, 2023