End of training

README.md

@@ -4,6 +4,9 @@ license: apache-2.0
 base_model: distilbert-base-uncased
 tags:
 - generated_from_trainer
+metrics:
+- accuracy
+- f1
 model-index:
 - name: classifier-assignment01
   results: []
@@ -15,6 +18,10 @@ should probably proofread and complete it, then remove this comment. -->
 # classifier-assignment01
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2500
+- Accuracy: 0.9184
+- F1: 0.9184
 
 ## Model description
 
@@ -41,6 +48,14 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 2
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| No log        | 1.0   | 313  | 0.2703          | 0.9126   | 0.9124 |
+| 0.3088        | 2.0   | 626  | 0.2500          | 0.9184   | 0.9184 |
+
+
 ### Framework versions
 
 - Transformers 4.56.1

runs/Sep16_08-50-58_ac1804cbc333/events.out.tfevents.1758012678.ac1804cbc333.350.0

@@ -1,3 +1,3 @@
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+oid sha256:d9dad61ea32497be5c711e0a539ab978ec12a54fd8a92fd96c41915fe7d9eae9
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