Training in progress epoch 8

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: 0.6154
-- Validation Loss: 2.5488
-- Train Accuracy: 0.289
-- Epoch: 7
+- Train Loss: 0.5057
+- Validation Loss: 2.8837
+- Train Accuracy: 0.292
+- Epoch: 8
 
 ## Model description
 
@@ -52,6 +52,7 @@ The following hyperparameters were used during training:
 | 0.9487     | 1.6876          | 0.295          | 5     |
 | 0.7610     | 2.1023          | 0.29           | 6     |
 | 0.6154     | 2.5488          | 0.289          | 7     |
+| 0.5057     | 2.8837          | 0.292          | 8     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:07e52823bb0eddcfe9cb440c966f6678dd5c3e654a7d85b7244ccb98ddc3f7c0
+oid sha256:4ec1049486c608ab80ad3283b40fc5bf8e108bd2a662ff4088dd8a849e774319
 size 267971116