---
tags:
- generated_from_keras_callback
model-index:
- name: electra-nli_finetuned
  results: []
datasets:
- snli
- scitail
- multi_nli
- alisawuffles/WANLI
- pietrolesci/nli_fever
- anli
---

<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->

# electra-nli_finetuned

The model base is [electra-small](google/electra-small-discriminator). 
It has been fine-tuned on: [snli](https://huggingface.co/datasets/snli), [scitail](https://huggingface.co/datasets/scitail), 
[wanli](https://huggingface.co/datasets/alisawuffles/WANLI), [mnli](https://huggingface.co/datasets/multi_nli), 
[fever_nli](https://huggingface.co/datasets/pietrolesci/nli_fever), [anli](https://huggingface.co/datasets/anli).  



## 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:  
snli: 89.15  
scitail: 90.08%  
wanli: 67.84%  
mnli: 81.95%  
nli_fever: 74.14%  
anli-r1_test: 46.60%  
anli-r2_test: 42.50%  
anli-r3_test: 43.08%  


### Framework versions

- Transformers 4.31.0
- TensorFlow 2.12.0
- Tokenizers 0.13.3