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 [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.5836
-- Validation Loss: 0.5976
-- Train Accuracy: 0.7583
-- Epoch: 1
+- Train Loss: 0.4934
+- Validation Loss: 0.6018
+- Train Accuracy: 0.7498
+- Epoch: 2
 
 ## Model description
 
@@ -46,6 +46,7 @@ The following hyperparameters were used during training:
 |:----------:|:---------------:|:--------------:|:-----:|
 | 0.6870     | 0.6382          | 0.7505         | 0     |
 | 0.5836     | 0.5976          | 0.7583         | 1     |
+| 0.4934     | 0.6018          | 0.7498         | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:4da3852ed0e83024df51a7c6f709dfb2072a109eaabbd73a3ca6768deb579fcf
 size 267958216