commit files to HF hub

README.md

@@ -6,6 +6,6 @@ Following metrics are computed on the `test` split of
 
 |    |   eval_f1_micro |   eval_recall_micro |   eval_precision_micro |   eval_f1_macro |   eval_recall_macro |   eval_precision_macro |   eval_accuracy |
 |---:|----------------:|--------------------:|-----------------------:|----------------:|--------------------:|-----------------------:|----------------:|
-|  0 |           67.59 |               67.59 |                  67.59 |           67.51 |               67.59 |                     69 |           67.59 |
+|  0 |           62.76 |               62.76 |                  62.76 |           62.94 |               62.76 |                  64.99 |           62.76 |
 
 Check the result file [here](https://huggingface.co/cardiffnlp/xlm-roberta-base-tweet-sentiment-it/raw/main/eval.json).

eval.json

@@ -1 +1 @@
-{"eval_loss": 1.1925325393676758, "eval_f1_micro": 0.6758620689655173, "eval_recall_micro": 0.6758620689655173, "eval_precision_micro": 0.6758620689655173, "eval_f1_macro": 0.6751251529921403, "eval_recall_macro": 0.6758620689655173, "eval_precision_macro": 0.6900265968119138, "eval_accuracy": 0.6758620689655173, "eval_runtime": 22.9461, "eval_samples_per_second": 37.915, "eval_steps_per_second": 2.397}
+{"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": 2.8989, "eval_samples_per_second": 300.117, "eval_steps_per_second": 37.601}