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DeBerta-v3-Large-SNLI-IDRM-Teacher
SwaggyZ/DeBerta-v3-Large-SNLI-IDRM-Teacher
DeBerta-v3-Large-SNLI-IDRM-Teacher is a machine learning model from SwaggyZ. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This model was trained from scratch on the snli dataset. It achieves the following results on the evaluation set: - evalloss: 0.2545 - evalp: 0.9169 - evalr: 0.9164 - evalf1: 0.9166 - evalruntime: 30.4321 - evalsample…
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At a glance
- Model type
- deberta-v2
- Access
- Public
- Created
- Jul 18, 2025
- Updated
- Jul 18, 2025
- SHA
- 4797f3a0
Datasets
Model card
From the Hugging Face model README
deberta-v3-large-snli-idrm-teacher
This model was trained from scratch on the snli dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.2545
- eval_p: 0.9169
- eval_r: 0.9164
- eval_f1: 0.9166
- eval_runtime: 30.4321
- eval_samples_per_second: 322.817
- eval_steps_per_second: 20.176
- step: 0
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: cosine
- num_epochs: 4
Framework versions
- Transformers 4.21.1
- Pytorch 1.12.1
- Datasets 2.6.1
- Tokenizers 0.12.1
- Type
- deberta-v2
- Created
- Jul 18, 2025
- Updated
- Jul 18, 2025