End of training

README.md

@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google-bert/bert-base-chinese](https://huggingface.co/google-bert/bert-base-chinese) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0002
+- Loss: 0.0022
 - Accuracy: 1.0
 
 ## Model description
@@ -36,9 +36,9 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 5e-05
-- train_batch_size: 8
-- eval_batch_size: 8
+- learning_rate: 2e-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
@@ -48,9 +48,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 245  | 0.0107          | 0.9959   |
-| No log        | 2.0   | 490  | 0.0021          | 0.9980   |
-| 0.0788        | 3.0   | 735  | 0.0002          | 1.0      |
+| No log        | 1.0   | 123  | 0.0089          | 1.0      |
+| No log        | 2.0   | 246  | 0.0028          | 1.0      |
+| No log        | 3.0   | 369  | 0.0022          | 1.0      |
 
 
 ### Framework versions

model.safetensors

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runs/Apr17_22-39-23_ml/events.out.tfevents.1713364763.ml.559919.0

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training_args.bin

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