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

| Set        | F1<sub>micro</sub> | F1<sub>macro</sub> |
|------------|--------------------|--------------------|
| validation | 83.1               | 82.2               |
| test       | 86.0               | 85.0               |
{"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: 83.1, F1macro: 82.2
Set: test, F1micro: 86.0, F1macro: 85.0



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 
