commit files to HF hub

README.md

@@ -1,4 +1,4 @@
- # `vocabtrimmer/xlm-roberta-base-tweet-sentiment-es`
+ # `cardiffnlp/xlm-roberta-base-tweet-sentiment-es`
 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) (spanish).
 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 |           69.31 |               69.31 |                  69.31 |           68.98 |               69.31 |                  68.97 |           69.31 |
+|  0 |           67.24 |               67.24 |                  67.24 |           66.55 |               67.24 |                  66.72 |           67.24 |
 
-Check the result file [here](https://huggingface.co/vocabtrimmer/xlm-roberta-base-tweet-sentiment-es/raw/main/eval.json).
+Check the result file [here](https://huggingface.co/cardiffnlp/xlm-roberta-base-tweet-sentiment-es/raw/main/eval.json).

eval.json

@@ -1 +1 @@
-{"eval_loss": 0.971114456653595, "eval_f1_micro": 0.6931034482758621, "eval_recall_micro": 0.6931034482758621, "eval_precision_micro": 0.6931034482758621, "eval_f1_macro": 0.689771120420465, "eval_recall_macro": 0.6931034482758621, "eval_precision_macro": 0.6897135939673323, "eval_accuracy": 0.6931034482758621, "eval_runtime": 2.9423, "eval_samples_per_second": 295.691, "eval_steps_per_second": 37.046}
+{"eval_loss": 0.9223574995994568, "eval_f1_micro": 0.6724137931034483, "eval_recall_micro": 0.6724137931034483, "eval_precision_micro": 0.6724137931034483, "eval_f1_macro": 0.6654783366568537, "eval_recall_macro": 0.6724137931034483, "eval_precision_macro": 0.6671785390099423, "eval_accuracy": 0.6724137931034483, "eval_runtime": 23.048, "eval_samples_per_second": 37.747, "eval_steps_per_second": 2.386}