 # `vocabtrimmer/roberta-base-xnli-en`
This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the 
[xnli](https://huggingface.co/datasets/xnli) (en).
Following metrics are computed on the `test` split of 
[xnli](https://huggingface.co/datasets/xnli)(en). 

|    |   eval_f1_micro |   eval_recall_micro |   eval_precision_micro |   eval_f1_macro |   eval_recall_macro |   eval_precision_macro |   eval_accuracy |
|---:|----------------:|--------------------:|-----------------------:|----------------:|--------------------:|-----------------------:|----------------:|
|  0 |           87.54 |               87.54 |                  87.54 |            87.6 |               87.54 |                  87.86 |           87.54 |

Check the result file [here](https://huggingface.co/vocabtrimmer/roberta-base-xnli-en/raw/main/eval.json).
{}
transformers pytorch roberta text-classification autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #roberta #text-classification #autotrain_compatible #endpoints_compatible #region-us 

'vocabtrimmer/roberta-base-xnli-en'
===================================


This model is a fine-tuned version of roberta-base on the
xnli (en).
Following metrics are computed on the 'test' split of
xnli(en).



Check the result file here.



TAGS
#transformers #pytorch #roberta #text-classification #autotrain_compatible #endpoints_compatible #region-us 
