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: 0.1023
-- Validation Loss: 0.2648
-- Train Accuracy: 0.9283
-- Epoch: 2
+- Train Loss: 0.0622
+- Validation Loss: 0.2658
+- Train Accuracy: 0.9333
+- Epoch: 3
 
 ## Model description
 
@@ -47,6 +47,7 @@ The following hyperparameters were used during training:
 | 0.4302     | 0.2969          | 0.9064         | 0     |
 | 0.1717     | 0.2662          | 0.9209         | 1     |
 | 0.1023     | 0.2648          | 0.9283         | 2     |
+| 0.0622     | 0.2658          | 0.9333         | 3     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:9e23d75e4a0a28d0fa1765e1098309fa7f2a9c1907b6ddbfb7f399e9c50a2075
 size 267967432