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 |           72.07 |               72.07 |                  72.07 |           72.25 |               72.07 |                   72.8 |           72.07 |
+|  0 |           70.69 |               70.69 |                  70.69 |           70.73 |               70.69 |                  70.78 |           70.69 |
 
 Check the result file [here](https://huggingface.co/cardiffnlp/xlm-roberta-base-tweet-sentiment-pt/raw/main/eval.json).

eval.json

@@ -1 +1 @@
-{"eval_loss": 0.8284391760826111, "eval_f1_micro": 0.7206896551724138, "eval_recall_micro": 0.7206896551724138, "eval_precision_micro": 0.7206896551724138, "eval_f1_macro": 0.7224592444363397, "eval_recall_macro": 0.7206896551724138, "eval_precision_macro": 0.7279901905981171, "eval_accuracy": 0.7206896551724138, "eval_runtime": 20.3442, "eval_samples_per_second": 42.764, "eval_steps_per_second": 2.703}
+{"eval_loss": 0.833850085735321, "eval_f1_micro": 0.7068965517241379, "eval_recall_micro": 0.7068965517241379, "eval_precision_micro": 0.7068965517241379, "eval_f1_macro": 0.707276749204019, "eval_recall_macro": 0.7068965517241379, "eval_precision_macro": 0.7077625671923918, "eval_accuracy": 0.7068965517241379, "eval_runtime": 2.9031, "eval_samples_per_second": 299.682, "eval_steps_per_second": 37.546}