End of training

README.md

@@ -17,8 +17,8 @@ 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: 0.6932
-- Accuracy: 0.4873
+- Loss: 0.6931
+- Accuracy: 0.5037
 
 ## Model description
 
@@ -37,23 +37,21 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 1e-05
-- train_batch_size: 32
-- eval_batch_size: 8
+- learning_rate: 5e-05
+- train_batch_size: 16
+- eval_batch_size: 16
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 5
+- num_epochs: 3
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.6945        | 1.0   | 1010 | 0.6931          | 0.5025   |
-| 0.694         | 2.0   | 2020 | 0.6932          | 0.4891   |
-| 0.6935        | 3.0   | 3030 | 0.6932          | 0.4978   |
-| 0.6936        | 4.0   | 4040 | 0.6932          | 0.4895   |
-| 0.6939        | 5.0   | 5050 | 0.6932          | 0.4873   |
+| 0.6938        | 1.0   | 2020 | 0.6931          | 0.4996   |
+| 0.6938        | 2.0   | 4040 | 0.6931          | 0.4976   |
+| 0.6935        | 3.0   | 6060 | 0.6931          | 0.5037   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:e55df034c6729dbbf5c5584ccccb4927a3029d6c616932a6ae7ada61048428e3
 size 437955572