End of training

README.md

@@ -16,8 +16,8 @@ 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 None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.4334
-- F1: 0.6046
+- Loss: 1.3747
+- F1: 0.6022
 
 ## Model description
 
@@ -36,9 +36,9 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 5.026095286203108e-05
-- train_batch_size: 16
-- eval_batch_size: 16
+- learning_rate: 5e-05
+- train_batch_size: 32
+- eval_batch_size: 32
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -48,9 +48,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 1.3881        | 1.0   | 701  | 1.3800          | 0.5702 |
-| 0.9158        | 2.0   | 1402 | 1.3474          | 0.5931 |
-| 0.6242        | 3.0   | 2103 | 1.4334          | 0.6046 |
+| 1.7905        | 1.0   | 351  | 1.2743          | 0.5869 |
+| 1.0285        | 2.0   | 702  | 1.3079          | 0.5950 |
+| 0.7333        | 3.0   | 1053 | 1.3747          | 0.6022 |
 
 
 ### Framework versions

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