MesutDemirel
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README.md
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@@ -561,7 +561,7 @@ This is a [sentence-transformers](https://www.SBERT.net) model trained on the [M
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- **Output Dimensionality:** 768 tokens
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- **Similarity Function:** Cosine Similarity
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- **Training Dataset:**
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- [MesutDemirel/legal_nli_tr_v1](https://huggingface.co/datasets/
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@@ -695,7 +695,7 @@ You can finetune this model on your own dataset.
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#### MesutDemirel/legal_nli_tr_v1
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* Dataset: [MesutDemirel/legal_nli_tr_v1](https://huggingface.co/datasets/
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* Size: 5,000 evaluation samples
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* Columns: <code>premise</code>, <code>hypothesis</code>, and <code>label</code>
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* Approximate statistics based on the first 1000 samples:
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- **Output Dimensionality:** 768 tokens
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- **Similarity Function:** Cosine Similarity
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- **Training Dataset:**
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- [MesutDemirel/legal_nli_tr_v1](https://huggingface.co/datasets/Turkish-NLI/legal_nli_TR_V1)
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#### MesutDemirel/legal_nli_tr_v1
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* Dataset: [MesutDemirel/legal_nli_tr_v1](https://huggingface.co/datasets/Turkish-NLI/legal_nli_TR_V1) at [7f0c3ba](https://huggingface.co/datasets/Turkish-NLI/legal_nli_TR_V1)
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* Size: 5,000 evaluation samples
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* Columns: <code>premise</code>, <code>hypothesis</code>, and <code>label</code>
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* Approximate statistics based on the first 1000 samples:
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