End of training

README.md

@@ -17,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-large-uncased](https://huggingface.co/bert-large-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.5834
+- Loss: 1.7030
 - Accuracy: 0.15
 
 ## Model description
@@ -37,7 +37,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 1e-06
+- learning_rate: 1e-05
 - train_batch_size: 16
 - eval_batch_size: 8
 - seed: 42
@@ -49,11 +49,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 12   | 1.5383          | 0.2      |
-| No log        | 2.0   | 24   | 1.5771          | 0.25     |
-| No log        | 3.0   | 36   | 1.5839          | 0.2      |
-| No log        | 4.0   | 48   | 1.5849          | 0.15     |
-| No log        | 5.0   | 60   | 1.5834          | 0.15     |
+| No log        | 1.0   | 12   | 1.6756          | 0.1      |
+| No log        | 2.0   | 24   | 1.6728          | 0.15     |
+| No log        | 3.0   | 36   | 1.6773          | 0.2      |
+| No log        | 4.0   | 48   | 1.6952          | 0.2      |
+| No log        | 5.0   | 60   | 1.7030          | 0.15     |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
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+oid sha256:ddfe6cdae6748eae3cf967664bb80d2b3ce093e06bfa82ae75904fedf6c06590
 size 1340706097