| | --- |
| | license: mit |
| | language: |
| | - en |
| | pipeline_tag: text-classification |
| | --- |
| | |
| | # Phi-3 fine-tuned to Multi-NLI (MNLI) |
| | This model is for Textual Entailment (NLI), i.e., predict whether sentence 1 is supported by sentence 2. It's a 3-way classification where the relationship between sentence 1 and sentence 2 can be entailment, neutral, contradiction. |
| |
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| | ## Model Details |
| | - Base model: [phi-3-mini-4k-instruct](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct) |
| | - Training data: [MNLI](https://huggingface.co/datasets/multi_nli) |
| | - Training details: num_epochs = 3, batch_size = 8 |
| |
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