Training in progress epoch 4

README.md

@@ -14,10 +14,10 @@ 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: 0.6863
-- Validation Loss: 0.6733
-- Train Accuracy: 0.475
-- Epoch: 0
+- Train Loss: 0.1212
+- Validation Loss: 0.1646
+- Train Accuracy: 0.9
+- Epoch: 4
 
 ## Model description
 
@@ -44,6 +44,10 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
 | 0.6863     | 0.6733          | 0.475          | 0     |
+| 0.5131     | 0.3023          | 0.95           | 1     |
+| 0.2499     | 0.1768          | 0.95           | 2     |
+| 0.1463     | 0.1702          | 0.925          | 3     |
+| 0.1212     | 0.1646          | 0.9            | 4     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:44f3c62a2e56d6e0991186133265e53a6a05f77fc37d36dcfb93dc2d00a1de74
 size 267951808