Training in progress epoch 4

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: 1.3172
-- Validation Loss: 1.3945
-- Train Accuracy: 0.33
-- Epoch: 3
+- Train Loss: 1.1564
+- Validation Loss: 1.5962
+- Train Accuracy: 0.307
+- Epoch: 4
 
 ## Model description
 
@@ -48,6 +48,7 @@ The following hyperparameters were used during training:
 | 1.3878     | 1.3850          | 0.321          | 1     |
 | 1.3784     | 1.3869          | 0.318          | 2     |
 | 1.3172     | 1.3945          | 0.33           | 3     |
+| 1.1564     | 1.5962          | 0.307          | 4     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:e626f1e8d053dd3d2573b03158c484b2421e700b46254c5fc3e6b35691d0a51a
 size 267971116