Training in progress epoch 13

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: 0.1736
-- Validation Loss: 1.1081
-- Train Accuracy: 0.775
-- Epoch: 12
+- Train Loss: 0.1589
+- Validation Loss: 1.0679
+- Train Accuracy: 0.8
+- Epoch: 13
 
 ## Model description
 
@@ -56,6 +56,7 @@ The following hyperparameters were used during training:
 | 0.2291     | 1.0496          | 0.775          | 10    |
 | 0.1994     | 1.0560          | 0.775          | 11    |
 | 0.1736     | 1.1081          | 0.775          | 12    |
+| 0.1589     | 1.0679          | 0.8            | 13    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:45b48a5d284ddadce206d89774848f4749794ffb120696ed1216c5d975a06c03
 size 267982528