Training in progress epoch 9

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: 0.4699
-- Validation Loss: 1.1323
-- Train Accuracy: 0.6978
-- Epoch: 8
+- Train Loss: 0.4479
+- Validation Loss: 1.1225
+- Train Accuracy: 0.7022
+- Epoch: 9
 
 ## Model description
 
@@ -53,6 +53,7 @@ The following hyperparameters were used during training:
 | 0.5797     | 1.1264          | 0.6844         | 6     |
 | 0.5174     | 1.1074          | 0.6978         | 7     |
 | 0.4699     | 1.1323          | 0.6978         | 8     |
+| 0.4479     | 1.1225          | 0.7022         | 9     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:ab55587f20d0d3f6ad807ce30f50317b751c4a2bf27f6a5835d792b8ba3cccd7
 size 46793992