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 [google/mobilebert-uncased](https://huggingface.co/google/mobilebert-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 12.7365
-- Validation Loss: 2.1180
-- Train Accuracy: 0.219
-- Epoch: 8
+- Train Loss: 4.0974
+- Validation Loss: 1.5722
+- Train Accuracy: 0.244
+- Epoch: 9
 
 ## Model description
 
@@ -53,6 +53,7 @@ The following hyperparameters were used during training:
 | 32.7722    | 27.9195         | 0.24           | 6     |
 | 25.1578    | 5.1954          | 0.228          | 7     |
 | 12.7365    | 2.1180          | 0.219          | 8     |
+| 4.0974     | 1.5722          | 0.244          | 9     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:8144a9a81560fbd44bc239822ff6b5b7f21bbe1194a47abf3c3ea7f10be0984d
+oid sha256:8e211423ac7622e6d91cd766c97817ac8560d80acc4fbd64c64332e91c31cb0e
 size 99819568