Training in progress epoch 1

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: 0.0058
+- Train Loss: 0.0004
 - Validation Loss: 0.0000
 - Train Precision: 1.0
 - Train Recall: 1.0
 - Train F1: 1.0
 - Train Accuracy: 1.0
-- Epoch: 0
+- Epoch: 1
 
 ## Model description
 
@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch |
 |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
 | 0.0058     | 0.0000          | 1.0             | 1.0          | 1.0      | 1.0            | 0     |
+| 0.0004     | 0.0000          | 1.0             | 1.0          | 1.0      | 1.0            | 1     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:ff1876d17792928b3d6b82f450579161b65ab36f4a6ceddaba41c3b42f1e64ef
 size 709337048