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# For reference on model card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/modelcard.md?plain=1
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# mansee/nli-sentence-contradiction-classification

<!-- Provide a quick summary of what the model is/does. -->
This model is a fine-tuned version of [sentence-transformers/nli-mpnet-base-v2](https://huggingface.co/sentence-transformers/nli-mpnet-base-v2) on an unknown dataset.

## Model Details

### Model Description

This is a natural language inference model to predict whether a given premise is contradictory, entailment or neutral to the hypothesis.

## Training Details

### Training Data

<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->

[More Information Needed]

### Training Procedure

<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->

#### Preprocessing [optional]

[More Information Needed]


#### Training Hyperparameters

- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->