Training in progress epoch 33

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: 0.0136
-- Validation Loss: 0.7531
-- Train Accuracy: 0.9085
-- Epoch: 32
+- Train Loss: 0.0119
+- Validation Loss: 0.7965
+- Train Accuracy: 0.8905
+- Epoch: 33
 
 ## Model description
 
@@ -77,6 +77,7 @@ The following hyperparameters were used during training:
 | 0.0145     | 0.6551          | 0.905          | 30    |
 | 0.0188     | 0.7582          | 0.906          | 31    |
 | 0.0136     | 0.7531          | 0.9085         | 32    |
+| 0.0119     | 0.7965          | 0.8905         | 33    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:54c95b38d9550d0560e025988bab32a1d4c513431f753d777dd8892387c0a765
 size 267964096