Training in progress epoch 8

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: 0.5174
-- Validation Loss: 1.1074
+- Train Loss: 0.4699
+- Validation Loss: 1.1323
 - Train Accuracy: 0.6978
-- Epoch: 7
+- Epoch: 8
 
 ## Model description
 
@@ -52,6 +52,7 @@ The following hyperparameters were used during training:
 | 0.6847     | 1.0749          | 0.6711         | 5     |
 | 0.5797     | 1.1264          | 0.6844         | 6     |
 | 0.5174     | 1.1074          | 0.6978         | 7     |
+| 0.4699     | 1.1323          | 0.6978         | 8     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:47e7e0c9b1eac38dab2be76e0f4365b2d25cdb03195e327fd7ba8a571d070f0c
 size 46793992