Training in progress epoch 3

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: 1.0302
-- Validation Loss: 1.1222
-- Train Accuracy: 0.6667
-- Epoch: 2
+- Train Loss: 0.8825
+- Validation Loss: 1.0611
+- Train Accuracy: 0.68
+- Epoch: 3
 
 ## Model description
 
@@ -47,6 +47,7 @@ The following hyperparameters were used during training:
 | 1.2151     | 1.1505          | 0.6667         | 0     |
 | 1.1415     | 1.1152          | 0.6667         | 1     |
 | 1.0302     | 1.1222          | 0.6667         | 2     |
+| 0.8825     | 1.0611          | 0.68           | 3     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c92c717bf92541cab625414914462506e3063655c2bbe3041a075ead782b6b3d
+oid sha256:9a5a5b7a4ea75a171d11094e89a110d713d43104fd86a0b26fab6010a06fe4b7
 size 46793992