Training in progress epoch 32

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: 0.0124
-- Validation Loss: 0.4888
-- Train Accuracy: 0.929
-- Epoch: 31
+- Train Loss: 0.0146
+- Validation Loss: 0.5022
+- Train Accuracy: 0.9325
+- Epoch: 32
 
 ## Model description
 
@@ -76,6 +76,7 @@ The following hyperparameters were used during training:
 | 0.0098     | 0.5249          | 0.934          | 29    |
 | 0.0151     | 0.4112          | 0.937          | 30    |
 | 0.0124     | 0.4888          | 0.929          | 31    |
+| 0.0146     | 0.5022          | 0.9325         | 32    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:b17a21603639f21462add7e81b7f00fe1b47b5ceaeb49529ae1c5a4c2f91a55e
 size 267964096