Update README.md

README.md

@@ -1,5 +1,9 @@
 ---
 license: apache-2.0
+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?
 tags:
 - generated_from_trainer
 metrics:
@@ -10,6 +14,9 @@ metrics:
 model-index:
 - name: bert-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
@@ -19,11 +26,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.8238
-- Precision: 0.7765
-- Recall: 0.7347
-- F1: 0.7289
-- Accuracy: 0.8355
+- Loss: 0.7270
+- Precision: 0.771293
+- Recall: 0.720130	
+- F1: 0.727670
+- Accuracy: 0.819896
 
 ## Model description
 
@@ -71,4 +78,4 @@ 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