Training in progress epoch 2

README.md

@@ -15,11 +15,11 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [hfl/chinese-roberta-wwm-ext](https://huggingface.co/hfl/chinese-roberta-wwm-ext) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.2117
-- Train Accuracy: 0.9222
-- Validation Loss: 0.2881
-- Validation Accuracy: 0.8998
-- Epoch: 1
+- Train Loss: 0.1647
+- Train Accuracy: 0.9421
+- Validation Loss: 0.2823
+- Validation Accuracy: 0.9009
+- Epoch: 2
 
 ## Model description
 
@@ -47,6 +47,7 @@ The following hyperparameters were used during training:
 |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
 | 0.2760     | 0.8934         | 0.3137          | 0.8686              | 0     |
 | 0.2117     | 0.9222         | 0.2881          | 0.8998              | 1     |
+| 0.1647     | 0.9421         | 0.2823          | 0.9009              | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e4eb095e124c5c7368bef78305f1158153c31904c646e4f647d234ae84b634cf
+oid sha256:fb39bb516e9930bb44db48b296bb66f73111d329b72fbc90e56858b3442f7fd4
 size 409364760