Training in progress epoch 38

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: 0.0153
-- Validation Loss: 0.5097
-- Train Accuracy: 0.9245
-- Epoch: 37
+- Train Loss: 0.0135
+- Validation Loss: 0.4689
+- Train Accuracy: 0.934
+- Epoch: 38
 
 ## Model description
 
@@ -82,6 +82,7 @@ The following hyperparameters were used during training:
 | 0.0158     | 0.4239          | 0.933          | 35    |
 | 0.0156     | 0.4849          | 0.93           | 36    |
 | 0.0153     | 0.5097          | 0.9245         | 37    |
+| 0.0135     | 0.4689          | 0.934          | 38    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:75b7ce7eb02306d11bbc43fb6824da0d6149ff909fa056a51552a22d917fcc47
 size 267964096