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: 0.1321
-- Validation Loss: 0.1924
-- Train Accuracy: 0.9276
-- Epoch: 1
+- Train Loss: 0.0626
+- Validation Loss: 0.2254
+- Train Accuracy: 0.9307
+- Epoch: 2
 
 ## Model description
 
@@ -45,6 +45,7 @@ The following hyperparameters were used during training:
 |:----------:|:---------------:|:--------------:|:-----:|
 | 0.2528     | 0.1872          | 0.9277         | 0     |
 | 0.1321     | 0.1924          | 0.9276         | 1     |
+| 0.0626     | 0.2254          | 0.9307         | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:761fd0dd0522e77c4362bd08104b4baebc620d0d9e038c2f93c6ee8bcbc5cdaf
 size 267951808