commit files to HF hub

README.md

@@ -1,4 +1,4 @@
- # `vocabtrimmer/xlm-roberta-base-tweet-sentiment-ar`
+ # `cardiffnlp/xlm-roberta-base-tweet-sentiment-ar`
 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) (arabic).
 Following metrics are computed on the `test` split of 
@@ -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 |           66.21 |               66.21 |                  66.21 |           66.33 |               66.21 |                  66.51 |           66.21 |
+|  0 |           61.03 |               61.03 |                  61.03 |           60.92 |               61.03 |                  60.86 |           61.03 |
 
-Check the result file [here](https://huggingface.co/vocabtrimmer/xlm-roberta-base-tweet-sentiment-ar/raw/main/eval.json).
+Check the result file [here](https://huggingface.co/cardiffnlp/xlm-roberta-base-tweet-sentiment-ar/raw/main/eval.json).

eval.json

@@ -1 +1 @@
-{"eval_loss": 0.8831436038017273, "eval_f1_micro": 0.6620689655172414, "eval_recall_micro": 0.6620689655172414, "eval_precision_micro": 0.6620689655172414, "eval_f1_macro": 0.6632581393058921, "eval_recall_macro": 0.6620689655172414, "eval_precision_macro": 0.6651039070225057, "eval_accuracy": 0.6620689655172414, "eval_runtime": 2.9471, "eval_samples_per_second": 295.207, "eval_steps_per_second": 36.986}
+{"eval_loss": 0.9044893980026245, "eval_f1_micro": 0.6103448275862069, "eval_recall_micro": 0.6103448275862069, "eval_precision_micro": 0.6103448275862069, "eval_f1_macro": 0.6092141376759197, "eval_recall_macro": 0.610344827586207, "eval_precision_macro": 0.608633542594701, "eval_accuracy": 0.6103448275862069, "eval_runtime": 22.5557, "eval_samples_per_second": 38.571, "eval_steps_per_second": 2.438}