Model save

README.md

@@ -2,6 +2,8 @@
 base_model: Alexander-Learn/bert-finetuned-squad
 tags:
 - generated_from_trainer
+metrics:
+- f1
 model-index:
 - name: bert-finetuned-squad-finetuned-DouRC_squad
   results: []
@@ -12,7 +14,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 # bert-finetuned-squad-finetuned-DouRC_squad
 
-This model is a fine-tuned version of [Alexander-Learn/bert-finetuned-squad](https://huggingface.co/Alexander-Learn/bert-finetuned-squad) on an unknown dataset.
+This model is a fine-tuned version of [Alexander-Learn/bert-finetuned-squad](https://huggingface.co/Alexander-Learn/bert-finetuned-squad) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.2794
+- Exact Match: 0.725
+- F1: 0.5962
 
 ## Model description
 
@@ -40,6 +46,17 @@ The following hyperparameters were used during training:
 - num_epochs: 5
 - mixed_precision_training: Native AMP
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Exact Match | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:-----------:|:------:|
+| 1.1781        | 1.0   | 828  | 1.1097          | 0.72        | 0.6202 |
+| 0.9177        | 2.0   | 1656 | 1.1056          | 0.715       | 0.5938 |
+| 0.7366        | 3.0   | 2484 | 1.1415          | 0.715       | 0.5756 |
+| 0.6056        | 4.0   | 3312 | 1.2132          | 0.71        | 0.5830 |
+| 0.5191        | 5.0   | 4140 | 1.2794          | 0.725       | 0.5962 |
+
+
 ### Framework versions
 
 - Transformers 4.41.2