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: 0.0482
-- Validation Loss: 0.0561
-- Train Precision: 0.9270
-- Train Recall: 0.9424
-- Train F1: 0.9347
-- Train Accuracy: 0.9846
-- Epoch: 1
+- Train Loss: 0.0284
+- Validation Loss: 0.0543
+- Train Precision: 0.9354
+- Train Recall: 0.9459
+- Train F1: 0.9406
+- Train Accuracy: 0.9860
+- Epoch: 2
 
 ## Model description
 
@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
 |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
 | 0.1485     | 0.0642          | 0.9083          | 0.9288       | 0.9184   | 0.9820         | 0     |
 | 0.0482     | 0.0561          | 0.9270          | 0.9424       | 0.9347   | 0.9846         | 1     |
+| 0.0284     | 0.0543          | 0.9354          | 0.9459       | 0.9406   | 0.9860         | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:73ccfb21f9b6895f5e2a75dfc140b090a48819f3d822d0ec72e9a2c7af9e28b7
 size 667376620