Training in progress epoch 3

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: 0.5750
-- Validation Loss: 0.5293
-- Train Accuracy: 0.9
-- Epoch: 2
+- Train Loss: 0.5168
+- Validation Loss: 0.4771
+- Train Accuracy: 0.925
+- Epoch: 3
 
 ## Model description
 
@@ -47,6 +47,7 @@ The following hyperparameters were used during training:
 | 0.6797     | 0.6563          | 0.8583         | 0     |
 | 0.6380     | 0.5999          | 0.8833         | 1     |
 | 0.5750     | 0.5293          | 0.9            | 2     |
+| 0.5168     | 0.4771          | 0.925          | 3     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:a3a13f6b20cbe094e08fb49d1ca3b3507c184a765b450f71912b5b96cd49b604
 size 267951808