Training in progress epoch 9

README.md

@@ -14,11 +14,11 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-base-chinese](https://huggingface.co/bert-base-chinese) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.6534
-- Train Accuracy: 0.0590
-- Validation Loss: 0.6301
-- Validation Accuracy: 0.0588
-- Epoch: 8
+- Train Loss: 0.6502
+- Train Accuracy: 0.0591
+- Validation Loss: 0.6504
+- Validation Accuracy: 0.0591
+- Epoch: 9
 
 ## Model description
 
@@ -53,6 +53,7 @@ The following hyperparameters were used during training:
 | 0.6446     | 0.0598         | 0.6266          | 0.0614              | 6     |
 | 0.6257     | 0.0602         | 0.6393          | 0.0609              | 7     |
 | 0.6534     | 0.0590         | 0.6301          | 0.0588              | 8     |
+| 0.6502     | 0.0591         | 0.6504          | 0.0591              | 9     |
 
 
 ### Framework versions