Training in progress epoch 17

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: 0.0139
-- Validation Loss: 0.7254
-- Train Accuracy: 0.8985
-- Epoch: 16
+- Train Loss: 0.0120
+- Validation Loss: 0.6856
+- Train Accuracy: 0.903
+- Epoch: 17
 
 ## Model description
 
@@ -61,6 +61,7 @@ The following hyperparameters were used during training:
 | 0.0122     | 0.7352          | 0.908          | 14    |
 | 0.0123     | 0.8061          | 0.905          | 15    |
 | 0.0139     | 0.7254          | 0.8985         | 16    |
+| 0.0120     | 0.6856          | 0.903          | 17    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:ac2b31c77d8fd2ac0653c1e1e188097e5e0ef33562171d4f4d4b9668f980568a
 size 267964096