Training in progress epoch 13

README.md

@@ -14,10 +14,10 @@ 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: 0.9600
-- Validation Loss: 1.6252
-- Train Accuracy: 0.6494
-- Epoch: 12
+- Train Loss: 0.9058
+- Validation Loss: 1.5662
+- Train Accuracy: 0.6623
+- Epoch: 13
 
 ## Model description
 
@@ -56,6 +56,7 @@ The following hyperparameters were used during training:
 | 1.1053     | 1.6728          | 0.6623         | 10    |
 | 1.0254     | 1.6284          | 0.6364         | 11    |
 | 0.9600     | 1.6252          | 0.6494         | 12    |
+| 0.9058     | 1.5662          | 0.6623         | 13    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:225d909c3bc2bd1cd5902765d8ad7148d560f8d802005c9aa0a0fdce9a293bec
 size 409469344