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README.md
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metrics:
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- accuracy
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datasets:
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metrics:
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- accuracy
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datasets:
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- snli-1.0
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- multi-nli-1.0
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- nli-fever
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- anli-v1.0
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---
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## deberta-v3-large-snli_mnli_fever_anli_R1_R2_R3-nli
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#### Datasets
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Based on microsoft/deberta-v3-large, this model was trained on the snli-v1.0, multi-nli-1.0, nli-fever and anli-1.0-r1/anli-1.0-r2/anli-1.0-r3 datasets, with the training weights of 1,1,1,10,20,10 respectively.
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#### Hyperparameters
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learning_rate: 1e-5
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max_length: 156
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batch_size: 16
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warmup_ratio: 0.1
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weight_decay: 0.0
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num_epochs: 2
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#### dev_results
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snli-v1.0 | multi-nli-1.0-m | multi-nli-1.0-mm | nli-fever | anli-1.0-r1 | anli-1.0-r2 | anli-1.0-r3
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----------|-----------------|------------------|-----------|-------------|-------------|------------
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0.9383 | 0.9144 | 0.9118 | ? | 0.796 | 0.627 | 0.610
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#### test_results
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