Model save

README.md

@@ -3,6 +3,8 @@ license: apache-2.0
 base_model: distilbert-base-uncased
 tags:
 - generated_from_trainer
+metrics:
+- f1
 model-index:
 - name: distilbert-base-uncased-finetuned-DouRC
   results: []
@@ -13,7 +15,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 # distilbert-base-uncased-finetuned-DouRC
 
-This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
+This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 4.6662
+- Exact Match: 0.05
+- F1: 0.0270
 
 ## Model description
 
@@ -40,6 +46,17 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 5
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Exact Match | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:-----------:|:------:|
+| 5.6355        | 1.0   | 10   | 5.3658          | 0.05        | 0.0264 |
+| 5.083         | 2.0   | 20   | 4.9659          | 0.035       | 0.0164 |
+| 4.6944        | 3.0   | 30   | 4.7939          | 0.03        | 0.0129 |
+| 4.4803        | 4.0   | 40   | 4.6992          | 0.04        | 0.0207 |
+| 4.389         | 5.0   | 50   | 4.6662          | 0.05        | 0.0270 |
+
+
 ### Framework versions
 
 - Transformers 4.41.2