Training in progress epoch 5

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: 0.0171
-- Validation Loss: 0.7110
-- Train Accuracy: 0.9055
-- Epoch: 4
+- Train Loss: 0.0121
+- Validation Loss: 0.7075
+- Train Accuracy: 0.9015
+- Epoch: 5
 
 ## Model description
 
@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
 | 0.0104     | 0.6544          | 0.913          | 2     |
 | 0.0148     | 0.7763          | 0.9035         | 3     |
 | 0.0171     | 0.7110          | 0.9055         | 4     |
+| 0.0121     | 0.7075          | 0.9015         | 5     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:75d1c982e045c157cb7c893b08055de6cfea8417278cd6a2be4fcec761819eae
 size 267964096