commit files to HF hub

README.md

@@ -1,4 +1,4 @@
- # `vocabtrimmer/xlm-roberta-base-tweet-sentiment-fr`
+ # `cardiffnlp/xlm-roberta-base-tweet-sentiment-fr`
 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) (french).
 Following metrics are computed on the `test` split of 
@@ -8,4 +8,4 @@ Following metrics are computed on the `test` split of
 |---:|----------------:|--------------------:|-----------------------:|----------------:|--------------------:|-----------------------:|----------------:|
 |  0 |           71.72 |               71.72 |                  71.72 |           71.78 |               71.72 |                  72.62 |           71.72 |
 
-Check the result file [here](https://huggingface.co/vocabtrimmer/xlm-roberta-base-tweet-sentiment-fr/raw/main/eval.json).
+Check the result file [here](https://huggingface.co/cardiffnlp/xlm-roberta-base-tweet-sentiment-fr/raw/main/eval.json).

eval.json

@@ -1 +1 @@
-{"eval_loss": 1.2249727249145508, "eval_f1_micro": 0.7172413793103447, "eval_recall_micro": 0.7172413793103448, "eval_precision_micro": 0.7172413793103448, "eval_f1_macro": 0.717825254267927, "eval_recall_macro": 0.7172413793103448, "eval_precision_macro": 0.7261713769016366, "eval_accuracy": 0.7172413793103448, "eval_runtime": 2.2875, "eval_samples_per_second": 380.327, "eval_steps_per_second": 47.65}
+{"eval_loss": 1.2249727249145508, "eval_f1_micro": 0.7172413793103447, "eval_recall_micro": 0.7172413793103448, "eval_precision_micro": 0.7172413793103448, "eval_f1_macro": 0.717825254267927, "eval_recall_macro": 0.7172413793103448, "eval_precision_macro": 0.7261713769016366, "eval_accuracy": 0.7172413793103448, "eval_runtime": 2.9427, "eval_samples_per_second": 295.65, "eval_steps_per_second": 37.041}