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--- |
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language: |
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- en |
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tags: |
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- text-classification |
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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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The training codes are mostly referenced from: https://github.com/facebookresearch/anli |
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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 | anli-1.0-r1 | anli-1.0-r2 | anli-1.0-r3 |
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----------|-----------------|------------------|-------------|-------------|------------ |
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0.938 | 0.914 | 0.912 | 0.796 | 0.627 | 0.610 |
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#### Test results |
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Results of the test sets are shown together with some other official pre-trained model checkpoints. |
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Model | snli-v1.0 | anli-1.0-r1 | anli-1.0-r2 | anli-1.0-r3 |
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------|-----------|-------------|-------------|------------ |
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ynie/roberta-large-snli_mnli_fever_anli_R1_R2_R3-nli | - | 0.736 | 0.493 | 0.455 |
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ynie/xlnet-large-cased-snli_mnli_fever_anli_R1_R2_R3-nli | - | 0.700 | 0.514 | 0.498 |
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ynie/albert-xxlarge-v2-snli_mnli_fever_anli_R1_R2_R3-nli | - | 0.736 | 0.586 | 0.534 |
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deberta-v3-large-snli_mnli_fever_anli_R1_R2_R3-nli | 0.929 | 0.775 | 0.636 | 0.612 |
