End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.48
+      value: 0.62
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the swag dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.2843
-- Accuracy: 0.48
+- Loss: 0.9935
+- Accuracy: 0.62
 
 ## Model description
 
@@ -58,14 +58,18 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 1
+- num_epochs: 5
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 13   | 1.2843          | 0.48     |
+| No log        | 1.0   | 13   | 1.1779          | 0.5      |
+| No log        | 2.0   | 26   | 0.9935          | 0.62     |
+| No log        | 3.0   | 39   | 1.0270          | 0.58     |
+| No log        | 4.0   | 52   | 1.0306          | 0.58     |
+| No log        | 5.0   | 65   | 1.0466          | 0.62     |
 
 
 ### Framework versions

model.safetensors

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training_args.bin

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