transformers tf bert text-classification generated_from_keras_callback dataset:scitail dataset:multi_nli dataset:anli dataset:snli dataset:bias-amplified-splits/wanli autotrain_compatible endpoints_compatible region:us
---
datasets:
- scitail
- multi_nli
- anli
- snli
- bias-amplified-splits/wanli
tags:
- generated_from_keras_callback
model-index:
- name: xtremedistil-l6-h256-uncased-nli
  results: []
---

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# xtremedistil-l6-h256-uncased-nli

The model base is [xtremedistil-l6-h256-uncased](https://huggingface.co/microsoft/xtremedistil-l6-h256-uncased). 
It has been fine-tuned on: [snli](https://huggingface.co/datasets/snli), [wanli](https://huggingface.co/datasets/alisawuffles/WANLI), 
[mnli](https://huggingface.co/datasets/multi_nli), [anli](https://huggingface.co/datasets/anli), 
[scitail](https://huggingface.co/datasets/scitail)

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

### Training results

It achieved the following accuracy during training (on validation sets):  
SNLI: 87.90%  
MNLI: 82.27%  
ANLI_r3: 44.83%  
scitail: 91.02%  

### Framework versions

- Transformers 4.31.0
- TensorFlow 2.12.0
- Datasets 2.14.4
- Tokenizers 0.13.3