Training in progress epoch 3

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: 1.8627
-- Train Accuracy: 0.4777
-- Validation Loss: 1.7134
-- Validation Accuracy: 0.5325
-- Epoch: 2
+- Train Loss: 1.3526
+- Train Accuracy: 0.6580
+- Validation Loss: 1.4877
+- Validation Accuracy: 0.5758
+- Epoch: 3
 
 ## Model description
 
@@ -48,6 +48,7 @@ The following hyperparameters were used during training:
 | 2.7650     | 0.2801         | 2.4192          | 0.3463              | 0     |
 | 2.3111     | 0.3626         | 2.1394          | 0.3680              | 1     |
 | 1.8627     | 0.4777         | 1.7134          | 0.5325              | 2     |
+| 1.3526     | 0.6580         | 1.4877          | 0.5758              | 3     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:207acf6a87886ca5b6f19bab494e71827cea7cf5e570ca13b0b01bbdd8c2416a
+oid sha256:ca5f5367be1c7c88235d8a2de098f900a875500e68a12be58af33e681d7f4ea8
 size 711818664