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: 1.2128
-- Validation Loss: 0.8099
-- Train Accuracy: 0.8649
-- Epoch: 1
+- Train Loss: 0.5989
+- Validation Loss: 0.5309
+- Train Accuracy: 0.8942
+- Epoch: 2
 
 ## Model description
 
@@ -46,6 +46,7 @@ The following hyperparameters were used during training:
 |:----------:|:---------------:|:--------------:|:-----:|
 | 3.0968     | 1.8396          | 0.7075         | 0     |
 | 1.2128     | 0.8099          | 0.8649         | 1     |
+| 0.5989     | 0.5309          | 0.8942         | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:cbb92d8047ead83fd03ce1eed1ed75124372feb49a409c838af55cb0385b855c
 size 268182208