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---
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 |