End of training

README.md

@@ -3,6 +3,8 @@ license: apache-2.0
 base_model: bert-base-uncased
 tags:
 - generated_from_trainer
+metrics:
+- accuracy
 model-index:
 - name: bert-base-uncased-finetuned-swag
   results: []
@@ -14,6 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
 # bert-base-uncased-finetuned-swag
 
 This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.3331
+- Accuracy: 0.4000
 
 ## Model description
 
@@ -40,6 +45,15 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 3
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 7    | 1.3489          | 0.4400   |
+| No log        | 2.0   | 14   | 1.3508          | 0.3600   |
+| No log        | 3.0   | 21   | 1.3331          | 0.4000   |
+
+
 ### Framework versions
 
 - Transformers 4.38.1

model.safetensors

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runs/Mar05_15-16-31_4b1a44f59c20/events.out.tfevents.1709651795.4b1a44f59c20.143.1

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training_args.bin

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