update model card README.md

README.md

@@ -1,6 +1,8 @@
 ---
 tags:
 - generated_from_trainer
+metrics:
+- accuracy
 model-index:
 - name: bert_12_layer_model_v2_complete_training_new
   results: []
@@ -12,6 +14,9 @@ should probably proofread and complete it, then remove this comment. -->
 # bert_12_layer_model_v2_complete_training_new
 
 This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 7.2742
+- Accuracy: 0.0465
 
 ## Model description
 
@@ -42,6 +47,24 @@ The following hyperparameters were used during training:
 
 ### Training results
 
+| Training Loss | Epoch | Step   | Validation Loss | Accuracy |
+|:-------------:|:-----:|:------:|:---------------:|:--------:|
+| 7.2752        | 0.11  | 10000  | 7.2772          | 0.0466   |
+| 7.2774        | 0.22  | 20000  | 7.2771          | 0.0428   |
+| 7.2722        | 0.33  | 30000  | 7.2669          | 0.0429   |
+| 7.27          | 0.44  | 40000  | 7.2685          | 0.0466   |
+| 7.2687        | 0.55  | 50000  | 7.2724          | 0.0466   |
+| 7.2724        | 0.66  | 60000  | 7.2716          | 0.0465   |
+| 7.2689        | 0.76  | 70000  | 7.2689          | 0.0465   |
+| 7.268         | 0.87  | 80000  | 7.2708          | 0.0465   |
+| 7.2723        | 0.98  | 90000  | 7.2711          | 0.0465   |
+| 7.2724        | 1.09  | 100000 | 7.2714          | 0.0429   |
+| 7.2761        | 1.2   | 110000 | 7.2723          | 0.0465   |
+| 7.2694        | 1.31  | 120000 | 7.2685          | 0.0465   |
+| 7.2671        | 1.42  | 130000 | 7.2728          | 0.0466   |
+| 7.2664        | 1.53  | 140000 | 7.2714          | 0.0465   |
+| 7.2671        | 1.64  | 150000 | 7.2707          | 0.0465   |
+| 7.2663        | 1.75  | 160000 | 7.2742          | 0.0465   |
 
 
 ### Framework versions