Training in progress epoch 5

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: 1.1564
-- Validation Loss: 1.5962
-- Train Accuracy: 0.307
-- Epoch: 4
+- Train Loss: 0.9487
+- Validation Loss: 1.6876
+- Train Accuracy: 0.295
+- Epoch: 5
 
 ## Model description
 
@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
 | 1.3784     | 1.3869          | 0.318          | 2     |
 | 1.3172     | 1.3945          | 0.33           | 3     |
 | 1.1564     | 1.5962          | 0.307          | 4     |
+| 0.9487     | 1.6876          | 0.295          | 5     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:02240d2c94629a9cbf650939615fec52ac9086483589f61713264abf50c5a29b
 size 267971116