End of training

README.md

@@ -18,8 +18,8 @@ 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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.1158
-- Accuracy: 0.6643
+- Loss: 0.6883
+- Accuracy: 0.6462
 
 ## Model description
 
@@ -38,25 +38,28 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 1.9373154591280666e-05
-- train_batch_size: 32
+- learning_rate: 9.796937080527387e-06
+- train_batch_size: 64
 - eval_batch_size: 32
 - seed: 42
 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
-- num_epochs: 7
+- num_epochs: 10
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 78   | 0.6678          | 0.5632   |
-| No log        | 2.0   | 156  | 0.6602          | 0.6245   |
-| No log        | 3.0   | 234  | 0.7192          | 0.6282   |
-| No log        | 4.0   | 312  | 0.8527          | 0.6570   |
-| No log        | 5.0   | 390  | 1.0519          | 0.6462   |
-| No log        | 6.0   | 468  | 1.1158          | 0.6643   |
-| 0.3497        | 7.0   | 546  | 1.1741          | 0.6606   |
+| No log        | 1.0   | 39   | 0.6887          | 0.5307   |
+| No log        | 2.0   | 78   | 0.6797          | 0.5596   |
+| No log        | 3.0   | 117  | 0.6805          | 0.5523   |
+| No log        | 4.0   | 156  | 0.6554          | 0.6354   |
+| No log        | 5.0   | 195  | 0.6759          | 0.6245   |
+| No log        | 6.0   | 234  | 0.6883          | 0.6462   |
+| No log        | 7.0   | 273  | 0.7252          | 0.6137   |
+| No log        | 8.0   | 312  | 0.7378          | 0.6318   |
+| No log        | 9.0   | 351  | 0.7529          | 0.6282   |
+| No log        | 10.0  | 390  | 0.7541          | 0.6318   |
 
 
 ### Framework versions

model.safetensors

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