Training in progress epoch 13

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: 0.0242
-- Validation Loss: 0.7906
-- Train Accuracy: 0.7949
-- Epoch: 11
+- Train Loss: 0.0165
+- Validation Loss: 1.1489
+- Train Accuracy: 0.7436
+- Epoch: 13
 
 ## Model description
 
@@ -55,6 +55,8 @@ The following hyperparameters were used during training:
 | 0.0539     | 0.6911          | 0.7949         | 9     |
 | 0.0271     | 0.8044          | 0.7949         | 10    |
 | 0.0242     | 0.7906          | 0.7949         | 11    |
+| 0.0264     | 0.8078          | 0.8462         | 12    |
+| 0.0165     | 1.1489          | 0.7436         | 13    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:e5b6adafa5d42b0ddb1c3bb4a8895c4d2c92a996986d5215c1a01f9881e66820
 size 267955144