Training in progress epoch 2

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: 1.3878
-- Validation Loss: 1.3850
-- Train Accuracy: 0.321
-- Epoch: 1
+- Train Loss: 1.3784
+- Validation Loss: 1.3869
+- Train Accuracy: 0.318
+- Epoch: 2
 
 ## Model description
 
@@ -46,6 +46,7 @@ The following hyperparameters were used during training:
 |:----------:|:---------------:|:--------------:|:-----:|
 | 1.3858     | 1.3862          | 0.329          | 0     |
 | 1.3878     | 1.3850          | 0.321          | 1     |
+| 1.3784     | 1.3869          | 0.318          | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:2874479a4f24e03a0ee88c4dedf4e8269663d7ecab0be39694af4bb46fec8bb9
 size 267971116