Update README.md

README.md

@@ -4,9 +4,21 @@ tags:
 - generated_from_trainer
 datasets:
 - wnut_17
+metrics:
+- seqeval
 model-index:
-- name: fine_tune_bert_output_LP_FP
-  results: []
+  name: fine_tune_bert_output_LP_FP
+  results:
+    task: 
+      type: token-classification  # Required. Example: automatic-speech-recognition
+      name: named-entity-recognition  # Optional. Example: Speech Recognition
+    dataset:
+      type: wnut_17  # Required. Example: common_voice. Use dataset id from https://hf.co/datasets
+      name: wnut_17  # Optional. Example: Common Voice zh-CN
+    metrics:
+      type: seqeval    # Required. Example: wer
+      value: 0.5508159175493844  # Required. Example: 20.90
+      name: test_overall_f1    # Optional. Example: Test WER
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -74,6 +86,26 @@ The following hyperparameters were used during training:
 | 0.0049        | 14.0  | 2982 | 0.3376          | 0.6803            | 0.6096         | 0.6430     | 0.9509           | 0.2975         | 0.4436           | 0.3624   | 0.6834      | 0.7902    | 0.3887     |
 
 
+### Overall results
+
+|        metric_type |      train | validation |       test |
+|:-------------------|-----------:|-----------:|-----------:|
+| loss               | 0.012030   | 0.271155   | 0.273943   |
+| runtime            | 16.292400  | 5.068800   | 8.596800   |
+| samples_per_second | 208.318000 | 199.060000 | 149.707000 |
+| steps_per_second   | 13.074000  | 12.626000  | 9.422000   |
+| corporation_f1     | 0.936877   | 0.307692   | 0.368627   |
+| person_f1          | 0.984252   | 0.773455   | 0.689826   |
+| product_f1         | 0.893246   | 0.398625   | 0.270423   |
+| creative-work_f1   | 0.880562   | 0.484211   | 0.415274   |
+| group_f1           | 0.975547   | 0.316667   | 0.411348   |
+| location_f1        | 0.978887   | 0.680851   | 0.638695   |
+| overall_accuracy   | 0.997709   | 0.950244   | 0.949920   |
+| overall_f1         | 0.961113   | 0.633978   | 0.550816   |
+| overall_precision  | 0.956337   | 0.657449   | 0.615483   |
+| overall_recall     | 0.965938   | 0.612126   | 0.498446   |
+
+
 ### Framework versions
 
 - Transformers 4.17.0