Training in progress epoch 0

README.md

@@ -14,9 +14,9 @@ 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: 0.9094
-- Train Accuracy: 0.6446
-- Validation Loss: 0.4812
+- Train Loss: 0.3969
+- Train Accuracy: 0.9339
+- Validation Loss: 0.2428
 - Validation Accuracy: 0.9512
 - Epoch: 0
 
@@ -44,7 +44,7 @@ The following hyperparameters were used during training:
 
 | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
 |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
-| 0.9094     | 0.6446         | 0.4812          | 0.9512              | 0     |
+| 0.3969     | 0.9339         | 0.2428          | 0.9512              | 0     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:14fa9b6fe9b6fe56aee55b521bcdad9cd8e8f5c1c9bc7b938fb9bc24afbca525
 size 409367836