Training in progress epoch 14

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: 0.2136
-- Validation Loss: 0.7688
-- Train Accuracy: 0.775
-- Epoch: 12
+- Train Loss: 0.1668
+- Validation Loss: 0.7903
+- Train Accuracy: 0.8
+- Epoch: 14
 
 ## Model description
 
@@ -56,6 +56,8 @@ The following hyperparameters were used during training:
 | 0.2912     | 0.8342          | 0.775          | 10    |
 | 0.2440     | 0.7864          | 0.775          | 11    |
 | 0.2136     | 0.7688          | 0.775          | 12    |
+| 0.1914     | 0.7626          | 0.8            | 13    |
+| 0.1668     | 0.7903          | 0.8            | 14    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:22bec0baf9e6650aaf3b0789267fe80a8ba3e5c78f999990c409b955557fc4ff
 size 267985864