Training in progress epoch 13

README.md

@@ -15,11 +15,11 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.1217
-- Train Accuracy: 0.9707
-- Validation Loss: 0.7948
-- Validation Accuracy: 0.8268
-- Epoch: 12
+- Train Loss: 0.1053
+- Train Accuracy: 0.9729
+- Validation Loss: 0.7847
+- Validation Accuracy: 0.8398
+- Epoch: 13
 
 ## Model description
 
@@ -58,6 +58,7 @@ The following hyperparameters were used during training:
 | 0.1594     | 0.9729         | 0.8264          | 0.8182              | 10    |
 | 0.1364     | 0.9707         | 0.7984          | 0.8312              | 11    |
 | 0.1217     | 0.9707         | 0.7948          | 0.8268              | 12    |
+| 0.1053     | 0.9729         | 0.7847          | 0.8398              | 13    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:f5197bd4afa382d5bbce3b647982c18ecfbce3d06da73e9e6ef82345a9ed0f66
 size 711818664