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 [Intel/dynamic_tinybert](https://huggingface.co/Intel/dynamic_tinybert) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.5057
-- Validation Loss: 2.8837
-- Train Accuracy: 0.292
-- Epoch: 8
+- Train Loss: 0.4325
+- Validation Loss: 3.1445
+- Train Accuracy: 0.293
+- Epoch: 9
 
 ## Model description
 
@@ -53,6 +53,7 @@ The following hyperparameters were used during training:
 | 0.7610     | 2.1023          | 0.29           | 6     |
 | 0.6154     | 2.5488          | 0.289          | 7     |
 | 0.5057     | 2.8837          | 0.292          | 8     |
+| 0.4325     | 3.1445          | 0.293          | 9     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:17f09aebed6f3e1bd8cb5dec80aa932e50885f4dfd08c00f92cbc0c68ef69a7d
 size 267971116