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: 0.1313
-- Validation Loss: 0.1782
-- Train Accuracy: 0.9330
-- Epoch: 1
+- Train Loss: 0.0647
+- Validation Loss: 0.2202
+- Train Accuracy: 0.9321
+- Epoch: 2
 
 ## Model description
 
@@ -45,6 +45,7 @@ The following hyperparameters were used during training:
 |:----------:|:---------------:|:--------------:|:-----:|
 | 0.2549     | 0.1980          | 0.9242         | 0     |
 | 0.1313     | 0.1782          | 0.9330         | 1     |
+| 0.0647     | 0.2202          | 0.9321         | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:6e4c8fbece62e2e2085116b63337269d8fe6c4e0886bd2470f1988243d558151
 size 267955144