Training in progress epoch 2

README.md

@@ -16,13 +16,13 @@ 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: 0.0014
-- Validation Loss: 0.0003
+- Train Loss: 0.0007
+- Validation Loss: 0.0002
 - Train Precision: 1.0
 - Train Recall: 1.0
 - Train F1: 1.0
 - Train Accuracy: 1.0
-- Epoch: 1
+- Epoch: 2
 
 ## Model description
 
@@ -50,6 +50,7 @@ The following hyperparameters were used during training:
 |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
 | 0.0530     | 0.0007          | 0.9998          | 0.9999       | 0.9998   | 1.0000         | 0     |
 | 0.0014     | 0.0003          | 1.0             | 1.0          | 1.0      | 1.0            | 1     |
+| 0.0007     | 0.0002          | 1.0             | 1.0          | 1.0      | 1.0            | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:db3fb5bf20a0a04eaa4ca51e6a897a2aa76b0594cad20562fd1aae37709dafc2
+oid sha256:e746cb60a0fce500461e9edea571f8a56a742ffd3e9e32ad1f7e3ba01d0ba471
 size 709364716