Training in progress epoch 2

README.md

@@ -15,13 +15,13 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-base-multilingual-uncased](https://huggingface.co/bert-base-multilingual-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.0487
-- Validation Loss: 0.0547
-- Train Precision: 0.9322
-- Train Recall: 0.9357
-- Train F1: 0.9339
-- Train Accuracy: 0.9848
-- Epoch: 1
+- Train Loss: 0.0288
+- Validation Loss: 0.0564
+- Train Precision: 0.9325
+- Train Recall: 0.9411
+- Train F1: 0.9368
+- Train Accuracy: 0.9852
+- Epoch: 2
 
 ## Model description
 
@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
 |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
 | 0.1600     | 0.0623          | 0.9182          | 0.9287       | 0.9234   | 0.9824         | 0     |
 | 0.0487     | 0.0547          | 0.9322          | 0.9357       | 0.9339   | 0.9848         | 1     |
+| 0.0288     | 0.0564          | 0.9325          | 0.9411       | 0.9368   | 0.9852         | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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 size 667364332