commit files to HF hub

README.md

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+ # `vocabtrimmer/xlm-roberta-base-tweet-sentiment-it`
+        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)(italian).
+        Following metrics are computed on the `test` split of 
+        [cardiffnlp/tweet_sentiment_multilingual](https://huggingface.co/datasets/cardiffnlp/tweet_sentiment_multilingual)(italian). 
+
+        |    |   eval_loss |   eval_f1_micro |   eval_recall_micro |   eval_precision_micro |   eval_f1_macro |   eval_recall_macro |   eval_precision_macro |   eval_accuracy |   eval_runtime |   eval_samples_per_second |   eval_steps_per_second |
+|---:|------------:|----------------:|--------------------:|-----------------------:|----------------:|--------------------:|-----------------------:|----------------:|---------------:|--------------------------:|------------------------:|
+|  0 |     1.24868 |        0.627586 |            0.627586 |               0.627586 |         0.62937 |            0.627586 |               0.649942 |        0.627586 |         3.0114 |                     288.9 |                  36.195 |
+
+        Check the result file [here](https://huggingface.co/vocabtrimmer/xlm-roberta-base-tweet-sentiment-it/raw/main/eval.json). 
+        

eval.json

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+{"eval_loss": 1.2486802339553833, "eval_f1_micro": 0.6275862068965518, "eval_recall_micro": 0.6275862068965518, "eval_precision_micro": 0.6275862068965518, "eval_f1_macro": 0.6293698609482404, "eval_recall_macro": 0.6275862068965518, "eval_precision_macro": 0.6499418566350745, "eval_accuracy": 0.6275862068965518, "eval_runtime": 3.0114, "eval_samples_per_second": 288.9, "eval_steps_per_second": 36.195}