Update README.md

README.md

@@ -1,6 +1,10 @@
 ---
 tags:
 - generated_from_trainer
+widget:
+- text: I'm fine. Who is this?
+- text: You can't take anything seriously.
+- text: In the end he's going to croak, isn't he?
 metrics:
 - precision
 - recall
@@ -9,6 +13,9 @@ metrics:
 model-index:
 - name: roberta-gest-pred-seqeval-partialmatch
   results: []
+datasets:
+- Jsevisal/gesture_pred
+pipeline_tag: token-classification
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -18,11 +25,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [xlm-roberta-large-finetuned-conll03-english](https://huggingface.co/xlm-roberta-large-finetuned-conll03-english) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.9160
-- Precision: 0.8093
-- Recall: 0.7469
-- F1: 0.7331
-- Accuracy: 0.8633
+- Loss: 0.6258
+- Precision: 0.7927
+- Recall: 0.7354
+- F1: 0.7381
+- Accuracy: 0.8323
 
 ## Model description
 
@@ -70,4 +77,4 @@ The following hyperparameters were used during training:
 - Transformers 4.27.3
 - Pytorch 1.13.1+cu116
 - Datasets 2.10.1
-- Tokenizers 0.13.2
+- Tokenizers 0.13.2