Training in progress epoch 9

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: 0.5616
-- Validation Loss: 0.6263
-- Train Accuracy: 0.5897
-- Epoch: 8
+- Train Loss: 0.5230
+- Validation Loss: 0.5886
+- Train Accuracy: 0.6667
+- Epoch: 9
 
 ## Model description
 
@@ -52,6 +52,7 @@ The following hyperparameters were used during training:
 | 0.6115     | 0.6866          | 0.5128         | 6     |
 | 0.5940     | 0.6573          | 0.5897         | 7     |
 | 0.5616     | 0.6263          | 0.5897         | 8     |
+| 0.5230     | 0.5886          | 0.6667         | 9     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:765d9120a98130d42baab59a984f7417c232006cb064c09965df2d093e90801b
 size 267955144