vempaliakhil commited on
Commit
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1 Parent(s): c29bc65

End of training

Browse files
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README.md CHANGED
@@ -1,6 +1,6 @@
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  ---
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  license: mit
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- base_model: microsoft/deberta-v3-small
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  tags:
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  - generated_from_trainer
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  metrics:
@@ -15,10 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
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  # my-dear-watson-nli-model
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- This model is a fine-tuned version of [microsoft/deberta-v3-small](https://huggingface.co/microsoft/deberta-v3-small) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.1118
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- - Accuracy: 0.6972
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  ## Model description
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@@ -51,10 +51,10 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 0.9568 | 1.0 | 682 | 0.7779 | 0.6551 |
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- | 0.719 | 2.0 | 1364 | 0.7380 | 0.6881 |
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- | 0.4004 | 3.0 | 2046 | 0.9168 | 0.6832 |
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- | 0.2709 | 4.0 | 2728 | 1.1118 | 0.6972 |
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  ### Framework versions
 
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  ---
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  license: mit
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+ base_model: MoritzLaurer/mDeBERTa-v3-base-xnli-multilingual-nli-2mil7
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  tags:
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  - generated_from_trainer
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  metrics:
 
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  # my-dear-watson-nli-model
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+ This model is a fine-tuned version of [MoritzLaurer/mDeBERTa-v3-base-xnli-multilingual-nli-2mil7](https://huggingface.co/MoritzLaurer/mDeBERTa-v3-base-xnli-multilingual-nli-2mil7) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.9620
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+ - Accuracy: 0.8540
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 0.4765 | 1.0 | 682 | 0.4576 | 0.8267 |
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+ | 0.3844 | 2.0 | 1364 | 0.5010 | 0.8325 |
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+ | 0.1273 | 3.0 | 2046 | 0.7488 | 0.8540 |
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+ | 0.052 | 4.0 | 2728 | 0.9620 | 0.8540 |
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  ### Framework versions
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  "model_type": "deberta-v2",
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