End of training

README.md

@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google/bert_uncased_L-4_H-256_A-4](https://huggingface.co/google/bert_uncased_L-4_H-256_A-4) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.1085
+- Loss: 1.4546
 
 ## Model description
 
@@ -40,17 +40,15 @@ 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: 5
+- num_epochs: 3
 
 ### Training results
 
-| Training Loss | Epoch | Step  | Validation Loss |
-|:-------------:|:-----:|:-----:|:---------------:|
-| 2.1554        | 1.0   | 2609  | 2.1183          |
-| 2.1403        | 2.0   | 5218  | 2.1106          |
-| 2.1371        | 3.0   | 7827  | 2.1095          |
-| 2.136         | 4.0   | 10436 | 2.1107          |
-| 2.1365        | 5.0   | 13045 | 2.1085          |
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.5299        | 1.0   | 2609 | nan             |
+| 1.5169        | 2.0   | 5218 | 1.4773          |
+| 1.5221        | 3.0   | 7827 | 1.4546          |
 
 
 ### Framework versions

pytorch_model.bin

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 size 44831439

training_args.bin

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 size 4027