Training in progress epoch 5

README.md

@@ -15,11 +15,11 @@ 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: 1.0242
-- Train Accuracy: 0.7318
-- Validation Loss: 1.3084
-- Validation Accuracy: 0.6623
-- Epoch: 4
+- Train Loss: 0.7743
+- Train Accuracy: 0.8046
+- Validation Loss: 1.2363
+- Validation Accuracy: 0.6883
+- Epoch: 5
 
 ## Model description
 
@@ -50,6 +50,7 @@ The following hyperparameters were used during training:
 | 1.8627     | 0.4777         | 1.7134          | 0.5325              | 2     |
 | 1.3526     | 0.6580         | 1.4877          | 0.5758              | 3     |
 | 1.0242     | 0.7318         | 1.3084          | 0.6623              | 4     |
+| 0.7743     | 0.8046         | 1.2363          | 0.6883              | 5     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:2ec6fa7da4e293ec85e5b52a793521b82e7c9765513d46e003c9bc0333727f70
 size 711818664