Training in progress epoch 21

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: 0.0192
-- Validation Loss: 0.7535
-- Train Accuracy: 0.903
-- Epoch: 20
+- Train Loss: 0.0206
+- Validation Loss: 0.7428
+- Train Accuracy: 0.8995
+- Epoch: 21
 
 ## Model description
 
@@ -65,6 +65,7 @@ The following hyperparameters were used during training:
 | 0.0175     | 0.6727          | 0.905          | 18    |
 | 0.0155     | 0.6912          | 0.9055         | 19    |
 | 0.0192     | 0.7535          | 0.903          | 20    |
+| 0.0206     | 0.7428          | 0.8995         | 21    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:0594def26ff8804a8a5f905cb22ed7605738d83ef80a79d932e7351899c2f80c
 size 267964096