Training in progress epoch 4

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: 1.3526
-- Train Accuracy: 0.6580
-- Validation Loss: 1.4877
-- Validation Accuracy: 0.5758
-- Epoch: 3
+- Train Loss: 1.0242
+- Train Accuracy: 0.7318
+- Validation Loss: 1.3084
+- Validation Accuracy: 0.6623
+- Epoch: 4
 
 ## Model description
 
@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
 | 2.3111     | 0.3626         | 2.1394          | 0.3680              | 1     |
 | 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     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:1fa2da6db76b6747a819aa82221b554a680a5e49f1bbdefaddec02eca57c9dab
 size 711818664