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--- |
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language: en |
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tags: |
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- deberta-v1 |
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- deberta-mnli |
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tasks: mnli |
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thumbnail: https://huggingface.co./front/thumbnails/microsoft.png |
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license: mit |
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pipeline_tag: zero-shot-classification |
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--- |
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This model is a fine-tuned version of [microsoft/deberta-v3-large](https://huggingface.co./microsoft/deberta-v3-large) on the GLUE MNLI dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4103 |
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- Accuracy: 0.9175 |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 6e-06 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 50 |
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- num_epochs: 2.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:| |
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| 0.3631 | 1.0 | 49088 | 0.3129 | 0.9130 | |
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| 0.2267 | 2.0 | 98176 | 0.4157 | 0.9153 | |
