Update README.md

README.md

@@ -8,14 +8,14 @@ tags:
 datasets:
 - disham993/ElectricalNER
 metrics:
-- epoch: 1.0
-- eval_precision: 0.9193
-- eval_recall: 0.9303
-- eval_f1: 0.9247
-- eval_accuracy: 0.9660
-- eval_runtime: 2.2917
-- eval_samples_per_second: 658.454
-- eval_steps_per_second: 10.472
+- epoch: 5.0
+- eval_precision: 0.9246
+- eval_recall: 0.9352
+- eval_f1: 0.9299
+- eval_accuracy: 0.9677
+- eval_runtime: 2.631
+- eval_samples_per_second: 573.622
+- eval_steps_per_second: 9.123
 ---
 
 # electrical-ner-bert-large
@@ -51,13 +51,13 @@ The model was fine-tuned using the following hyperparameters:
 
 The following metrics were achieved during evaluation:
 
-- **Precision:** 0.9193
-- **Recall:** 0.9303
-- **F1 Score:** 0.9247
-- **Accuracy:** 0.9660
-- **Evaluation Runtime:** 2.2917 seconds
-- **Samples Per Second:** 658.454
-- **Steps Per Second:** 10.472
+- **Precision:** 0.9246
+- **Recall:** 0.9352
+- **F1 Score:** 0.9299
+- **Accuracy:** 0.9677
+- **Evaluation Runtime:** 2.631 seconds
+- **Samples Per Second:** 573.622
+- **Steps Per Second:** 9.123
 
 ## Usage