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