Training in progress epoch 1

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: 1.3858
-- Validation Loss: 1.3862
-- Train Accuracy: 0.329
-- Epoch: 0
+- Train Loss: 1.3878
+- Validation Loss: 1.3850
+- Train Accuracy: 0.321
+- Epoch: 1
 
 ## Model description
 
@@ -45,6 +45,7 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
 | 1.3858     | 1.3862          | 0.329          | 0     |
+| 1.3878     | 1.3850          | 0.321          | 1     |
 
 
 ### Framework versions

tf_model.h5

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