Training in progress epoch 9

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: 0.0329
-- Validation Loss: 0.2144
-- Train Accuracy: 0.9355
-- Epoch: 8
+- Train Loss: 0.0290
+- Validation Loss: 0.2548
+- Train Accuracy: 0.935
+- Epoch: 9
 
 ## Model description
 
@@ -53,6 +53,7 @@ The following hyperparameters were used during training:
 | 0.0522     | 0.2356          | 0.931          | 6     |
 | 0.0444     | 0.2861          | 0.9335         | 7     |
 | 0.0329     | 0.2144          | 0.9355         | 8     |
+| 0.0290     | 0.2548          | 0.935          | 9     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6bcde9cc2bdbf4d3b78b131ffb595911311fb137b8c8fb31a837d00a5ac12f50
+oid sha256:81bf544f7180999d48ad4a662587da2c25d448edc8e9ef6df3d72cc61b8eca12
 size 267964096