Update README.md

README.md

@@ -1,7 +1,9 @@
 ---
 license: apache-2.0
-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
@@ -10,6 +12,9 @@ metrics:
 model-index:
 - name: distilbert-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 +24,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [elastic/distilbert-base-cased-finetuned-conll03-english](https://huggingface.co/elastic/distilbert-base-cased-finetuned-conll03-english) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.8515
-- Precision: 0.7956
-- Recall: 0.7216
-- F1: 0.7363
-- Accuracy: 0.8088
+- Loss: 0.7300
+- Precision: 0.8116
+- Recall: 0.6988
+- F1: 0.7337
+- Accuracy: 0.8082
 
 ## Model description
 
@@ -71,4 +76,4 @@ The following hyperparameters were used during training:
 - Transformers 4.27.2
 - Pytorch 1.13.1+cu116
 - Datasets 2.10.1
-- Tokenizers 0.13.2
+- Tokenizers 0.13.2