End of training

README.md

@@ -18,9 +18,9 @@ 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: 0.5303
-- Accuracy: 0.736
-- F1: 0.8128
+- Loss: 0.5395
+- Accuracy: 0.741
+- F1: 0.8069
 
 ## Model description
 
@@ -40,8 +40,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-06
-- train_batch_size: 4
-- eval_batch_size: 4
+- train_batch_size: 12
+- eval_batch_size: 12
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -51,9 +51,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.6453        | 1.0   | 1502 | 0.5703          | 0.712    | 0.8035 |
-| 0.6275        | 2.0   | 3004 | 0.5234          | 0.747    | 0.8230 |
-| 0.6078        | 3.0   | 4506 | 0.5303          | 0.736    | 0.8128 |
+| 0.6235        | 1.0   | 501  | 0.5542          | 0.717    | 0.8087 |
+| 0.5764        | 2.0   | 1002 | 0.5323          | 0.755    | 0.8254 |
+| 0.5324        | 3.0   | 1503 | 0.5395          | 0.741    | 0.8069 |
 
 
 ### Framework versions

pytorch_model.bin

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runs/Jul25_14-59-29_01bc00965632/events.out.tfevents.1690297656.01bc00965632.367.0

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