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

|    |   eval_f1_micro |   eval_recall_micro |   eval_precision_micro |   eval_f1_macro |   eval_recall_macro |   eval_precision_macro |   eval_accuracy |
|---:|----------------:|--------------------:|-----------------------:|----------------:|--------------------:|-----------------------:|----------------:|
|  0 |           75.73 |               75.73 |                  75.73 |           75.73 |               75.73 |                  76.22 |           75.73 |

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

'vocabtrimmer/xlm-roberta-base-xnli-ar'
=======================================


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



Check the result file here.



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