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: 0.1013
-- Validation Loss: 0.1371
-- Train Accuracy: 0.9456
-- Epoch: 1
+- Train Loss: 0.0549
+- Validation Loss: 0.1868
+- Train Accuracy: 0.9434
+- Epoch: 2
 
 ## Model description
 
@@ -46,6 +46,7 @@ The following hyperparameters were used during training:
 |:----------:|:---------------:|:--------------:|:-----:|
 | 0.1605     | 0.1339          | 0.9466         | 0     |
 | 0.1013     | 0.1371          | 0.9456         | 1     |
+| 0.0549     | 0.1868          | 0.9434         | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:05a4536e5a9c9443a519ee0fc1609f68016235571cac10b958f853540e22606a
 size 267951808