commit files to HF hub

README.md

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+ # `vocabtrimmer/xlm-roberta-base-tweet-sentiment-fr`
+This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the 
+[cardiffnlp/tweet_sentiment_multilingual](https://huggingface.co/datasets/cardiffnlp/tweet_sentiment_multilingual) (french).
+Following metrics are computed on the `test` split of 
+[cardiffnlp/tweet_sentiment_multilingual](https://huggingface.co/datasets/cardiffnlp/tweet_sentiment_multilingual)(french). 
+
+|    |   eval_f1_micro |   eval_recall_micro |   eval_precision_micro |   eval_f1_macro |   eval_recall_macro |   eval_precision_macro |   eval_accuracy |
+|---:|----------------:|--------------------:|-----------------------:|----------------:|--------------------:|-----------------------:|----------------:|
+|  0 |           71.72 |               71.72 |                  71.72 |           71.78 |               71.72 |                  72.62 |           71.72 |
+
+Check the result file [here](https://huggingface.co/vocabtrimmer/xlm-roberta-base-tweet-sentiment-fr/raw/main/eval.json).

eval.json

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+{"eval_loss": 1.2249727249145508, "eval_f1_micro": 0.7172413793103447, "eval_recall_micro": 0.7172413793103448, "eval_precision_micro": 0.7172413793103448, "eval_f1_macro": 0.717825254267927, "eval_recall_macro": 0.7172413793103448, "eval_precision_macro": 0.7261713769016366, "eval_accuracy": 0.7172413793103448, "eval_runtime": 2.2875, "eval_samples_per_second": 380.327, "eval_steps_per_second": 47.65}