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 [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: 2.3111
-- Train Accuracy: 0.3626
-- Validation Loss: 2.1394
-- Validation Accuracy: 0.3680
-- Epoch: 1
+- Train Loss: 1.8627
+- Train Accuracy: 0.4777
+- Validation Loss: 1.7134
+- Validation Accuracy: 0.5325
+- Epoch: 2
 
 ## Model description
 
@@ -47,6 +47,7 @@ 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     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:5026b23dbcde8f1a3eeed422c4e3f0175546902d4268f12640a701d58c4054c7
+oid sha256:207acf6a87886ca5b6f19bab494e71827cea7cf5e570ca13b0b01bbdd8c2416a
 size 711818664