Training in progress epoch 2

README.md

@@ -14,10 +14,10 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.7577
-- Validation Loss: 0.6889
-- Train Accuracy: 0.7708
-- Epoch: 1
+- Train Loss: 0.5260
+- Validation Loss: 0.6328
+- Train Accuracy: 0.7729
+- Epoch: 2
 
 ## Model description
 
@@ -45,6 +45,7 @@ The following hyperparameters were used during training:
 |:----------:|:---------------:|:--------------:|:-----:|
 | 1.4520     | 0.9126          | 0.7146         | 0     |
 | 0.7577     | 0.6889          | 0.7708         | 1     |
+| 0.5260     | 0.6328          | 0.7729         | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:ab4f204d21119f3aad47ae58eb2d03712c1512e62192061831818b514693451b
 size 267964096