Training in progress epoch 8

README.md

@@ -15,13 +15,13 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google-bert/bert-base-multilingual-cased](https://huggingface.co/google-bert/bert-base-multilingual-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.0712
-- Validation Loss: 1.0520
-- Train Precision: 0.7069
-- Train Recall: 0.6980
-- Train F1: 0.7004
-- Train Accuracy: 0.7181
-- Epoch: 7
+- Train Loss: 0.0563
+- Validation Loss: 1.0643
+- Train Precision: 0.7141
+- Train Recall: 0.7032
+- Train F1: 0.7079
+- Train Accuracy: 0.7234
+- Epoch: 8
 
 ## Model description
 
@@ -55,6 +55,7 @@ The following hyperparameters were used during training:
 | 0.1542     | 0.9036          | 0.7245          | 0.7195       | 0.7215   | 0.7367         | 5     |
 | 0.1073     | 0.9961          | 0.7076          | 0.7278       | 0.7132   | 0.7261         | 6     |
 | 0.0712     | 1.0520          | 0.7069          | 0.6980       | 0.7004   | 0.7181         | 7     |
+| 0.0563     | 1.0643          | 0.7141          | 0.7032       | 0.7079   | 0.7234         | 8     |
 
 
 ### Framework versions

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