
## Eval results
We obtain the following results on ```validation``` and ```test``` sets:

| Set        | F1<sub>micro</sub> | F1<sub>macro</sub> |
|------------|--------------------|--------------------|
| validation | 85.8               | 85.9               |
| test       | 84.2               | 84.3               |
{"language": ["fr"], "tags": ["nli"], "metrics": ["f1"]}
transformers pytorch camembert text-classification nli fr autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #camembert #text-classification #nli #fr #autotrain_compatible #endpoints_compatible #region-us 

Eval results
------------


We obtain the following results on and sets:


Set: validation, F1micro: 85.8, F1macro: 85.9
Set: test, F1micro: 84.2, F1macro: 84.3



TAGS
#transformers #pytorch #camembert #text-classification #nli #fr #autotrain_compatible #endpoints_compatible #region-us 

passage: TAGS
#transformers #pytorch #camembert #text-classification #nli #fr #autotrain_compatible #endpoints_compatible #region-us 
