End of training

README.md

@@ -5,9 +5,28 @@ tags:
 - generated_from_trainer
 datasets:
 - glue
+metrics:
+- accuracy
+- f1
 model-index:
 - name: bert-finetuned-mrpc
-  results: []
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: glue
+      type: glue
+      config: mrpc
+      split: validation
+      args: mrpc
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.8480392156862745
+    - name: F1
+      type: f1
+      value: 0.8916083916083916
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -16,6 +35,10 @@ should probably proofread and complete it, then remove this comment. -->
 # bert-finetuned-mrpc
 
 This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the glue dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5841
+- Accuracy: 0.8480
+- F1: 0.8916
 
 ## Model description
 
@@ -44,6 +67,11 @@ The following hyperparameters were used during training:
 
 ### Training results
 
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| No log        | 1.0   | 459  | 0.4703          | 0.7794   | 0.8308 |
+| 0.5511        | 2.0   | 918  | 0.6611          | 0.7451   | 0.8424 |
+| 0.3958        | 3.0   | 1377 | 0.5841          | 0.8480   | 0.8916 |
 
 
 ### Framework versions