Training in progress epoch 6

README.md

@@ -15,10 +15,10 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [albert-base-v2](https://huggingface.co/albert-base-v2) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.6847
-- Validation Loss: 1.0749
-- Train Accuracy: 0.6711
-- Epoch: 5
+- Train Loss: 0.5797
+- Validation Loss: 1.1264
+- Train Accuracy: 0.6844
+- Epoch: 6
 
 ## Model description
 
@@ -50,6 +50,7 @@ The following hyperparameters were used during training:
 | 0.8825     | 1.0611          | 0.68           | 3     |
 | 0.7690     | 1.0625          | 0.6756         | 4     |
 | 0.6847     | 1.0749          | 0.6711         | 5     |
+| 0.5797     | 1.1264          | 0.6844         | 6     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:3db673f4e92aa9d8011314a854c678a70ee73c75c42c11e77db5b839f3a600ac
 size 46793992