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: 0.6256
-- Validation Loss: 0.6732
-- Train Accuracy: 0.55
-- Epoch: 0
+- Train Loss: 0.5878
+- Validation Loss: 0.6726
+- Train Accuracy: 0.56
+- Epoch: 2
 
 ## Model description
 
@@ -45,6 +45,8 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
 | 0.6256     | 0.6732          | 0.55           | 0     |
+| 0.6021     | 0.6726          | 0.56           | 1     |
+| 0.5878     | 0.6726          | 0.56           | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:76278e840edc9c032ff32423932e491afb1f0605245cb343c9a348901c2f60b1
 size 267951808