commit files to HF hub

README.md

@@ -1,4 +1,4 @@
- # `vocabtrimmer/xlm-roberta-base-tweet-sentiment-de`
+ # `cardiffnlp/xlm-roberta-base-tweet-sentiment-de`
 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) (german).
 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 |           71.84 |               71.84 |                  71.84 |           71.76 |               71.84 |                  72.16 |           71.84 |
+|  0 |           73.22 |               73.22 |                  73.22 |           73.18 |               73.22 |                  73.18 |           73.22 |
 
-Check the result file [here](https://huggingface.co/vocabtrimmer/xlm-roberta-base-tweet-sentiment-de/raw/main/eval.json).
+Check the result file [here](https://huggingface.co/cardiffnlp/xlm-roberta-base-tweet-sentiment-de/raw/main/eval.json).

eval.json

@@ -1 +1 @@
-{"eval_loss": 0.7232896685600281, "eval_f1_micro": 0.7183908045977012, "eval_recall_micro": 0.7183908045977011, "eval_precision_micro": 0.7183908045977011, "eval_f1_macro": 0.7175805005061981, "eval_recall_macro": 0.7183908045977012, "eval_precision_macro": 0.721555711151488, "eval_accuracy": 0.7183908045977011, "eval_runtime": 2.9368, "eval_samples_per_second": 296.237, "eval_steps_per_second": 37.115}
+{"eval_loss": 1.0051021575927734, "eval_f1_micro": 0.7321839080459769, "eval_recall_micro": 0.732183908045977, "eval_precision_micro": 0.732183908045977, "eval_f1_macro": 0.731825399226235, "eval_recall_macro": 0.732183908045977, "eval_precision_macro": 0.7318399925098893, "eval_accuracy": 0.732183908045977, "eval_runtime": 20.7591, "eval_samples_per_second": 41.909, "eval_steps_per_second": 2.649}