Training in progress epoch 7

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: 0.7610
-- Validation Loss: 2.1023
-- Train Accuracy: 0.29
-- Epoch: 6
+- Train Loss: 0.6154
+- Validation Loss: 2.5488
+- Train Accuracy: 0.289
+- Epoch: 7
 
 ## Model description
 
@@ -51,6 +51,7 @@ The following hyperparameters were used during training:
 | 1.1564     | 1.5962          | 0.307          | 4     |
 | 0.9487     | 1.6876          | 0.295          | 5     |
 | 0.7610     | 2.1023          | 0.29           | 6     |
+| 0.6154     | 2.5488          | 0.289          | 7     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:07e52823bb0eddcfe9cb440c966f6678dd5c3e654a7d85b7244ccb98ddc3f7c0
 size 267971116