Training in progress epoch 16

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: 0.0174
-- Validation Loss: 0.4403
-- Train Accuracy: 0.93
-- Epoch: 15
+- Train Loss: 0.0170
+- Validation Loss: 0.2836
+- Train Accuracy: 0.932
+- Epoch: 16
 
 ## Model description
 
@@ -60,6 +60,7 @@ The following hyperparameters were used during training:
 | 0.0201     | 0.2888          | 0.9315         | 13    |
 | 0.0221     | 0.2737          | 0.934          | 14    |
 | 0.0174     | 0.4403          | 0.93           | 15    |
+| 0.0170     | 0.2836          | 0.932          | 16    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:d880305fa253dd8b6465a0b579977886dada07a7fb3453206f4a218f740b189f
 size 267964096