Training in progress epoch 9

README.md

@@ -14,10 +14,10 @@ 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: 0.2184
-- Validation Loss: 0.4834
-- Train Accuracy: 0.8205
-- Epoch: 5
+- Train Loss: 0.0539
+- Validation Loss: 0.6911
+- Train Accuracy: 0.7949
+- Epoch: 9
 
 ## Model description
 
@@ -49,6 +49,10 @@ The following hyperparameters were used during training:
 | 0.3647     | 0.5168          | 0.7692         | 3     |
 | 0.2682     | 0.5776          | 0.7436         | 4     |
 | 0.2184     | 0.4834          | 0.8205         | 5     |
+| 0.1997     | 0.5296          | 0.7692         | 6     |
+| 0.1188     | 0.6967          | 0.7949         | 7     |
+| 0.0945     | 0.6440          | 0.8205         | 8     |
+| 0.0539     | 0.6911          | 0.7949         | 9     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:7ca06056184c4c0523405a098794484cbd6c4594df32263d24f9931daae16233
 size 267955144