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---
tags:
- generated_from_keras_callback
model-index:
- name: xtremedistil-l6-h256-uncased-nli
results: []
datasets:
- scitail
- multi_nli
- anli
- snli
- bias-amplified-splits/wanli
---
<!-- 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. -->
# 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 |