Training in progress epoch 37

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: 0.0156
-- Validation Loss: 0.4849
-- Train Accuracy: 0.93
-- Epoch: 36
+- Train Loss: 0.0153
+- Validation Loss: 0.5097
+- Train Accuracy: 0.9245
+- Epoch: 37
 
 ## Model description
 
@@ -81,6 +81,7 @@ The following hyperparameters were used during training:
 | 0.0102     | 0.4304          | 0.935          | 34    |
 | 0.0158     | 0.4239          | 0.933          | 35    |
 | 0.0156     | 0.4849          | 0.93           | 36    |
+| 0.0153     | 0.5097          | 0.9245         | 37    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:33e4b9205b2e2f3df805e06f2c41d5b15e5059aae783a0bff3abf1b3cc493f3c
 size 267964096