Training in progress epoch 36

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: 0.0158
-- Validation Loss: 0.4239
-- Train Accuracy: 0.933
-- Epoch: 35
+- Train Loss: 0.0156
+- Validation Loss: 0.4849
+- Train Accuracy: 0.93
+- Epoch: 36
 
 ## Model description
 
@@ -80,6 +80,7 @@ The following hyperparameters were used during training:
 | 0.0130     | 0.5585          | 0.9305         | 33    |
 | 0.0102     | 0.4304          | 0.935          | 34    |
 | 0.0158     | 0.4239          | 0.933          | 35    |
+| 0.0156     | 0.4849          | 0.93           | 36    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:8e45128e8fffd9d6d88303bcdcaf3ac85b30c5250092a62b105cb2035a88dd5b
 size 267964096