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: 0.1424
-- Validation Loss: 0.2377
-- Train Precision: 0.6149
-- Train Recall: 0.4258
-- Train F1: 0.5032
-- Train Accuracy: 0.9481
-- Epoch: 1
+- Train Loss: 0.0944
+- Validation Loss: 0.2261
+- Train Precision: 0.6429
+- Train Recall: 0.4737
+- Train F1: 0.5455
+- Train Accuracy: 0.9509
+- Epoch: 2
 
 ## Model description
 
@@ -50,6 +50,7 @@ The following hyperparameters were used during training:
 |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
 | 0.2774     | 0.2932          | 0.5372          | 0.2416       | 0.3333   | 0.9359         | 0     |
 | 0.1424     | 0.2377          | 0.6149          | 0.4258       | 0.5032   | 0.9481         | 1     |
+| 0.0944     | 0.2261          | 0.6429          | 0.4737       | 0.5455   | 0.9509         | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:d4f867ab84722961014979d81bc4e549bcd09fec18488b2272ce7ab0a6d6e9b8
 size 709364732