Training in progress epoch 4

README.md

@@ -14,11 +14,11 @@ 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: 0.0040
-- Train Accuracy: 0.9987
-- Validation Loss: 0.0486
-- Validation Accuracy: 0.9918
-- Epoch: 3
+- Train Loss: 0.0015
+- Train Accuracy: 0.9995
+- Validation Loss: 0.0570
+- Validation Accuracy: 0.9915
+- Epoch: 4
 
 ## Model description
 
@@ -48,6 +48,7 @@ The following hyperparameters were used during training:
 | 0.0182     | 0.9944         | 0.0326          | 0.9901              | 1     |
 | 0.0089     | 0.9971         | 0.0396          | 0.9912              | 2     |
 | 0.0040     | 0.9987         | 0.0486          | 0.9918              | 3     |
+| 0.0015     | 0.9995         | 0.0570          | 0.9915              | 4     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:24adaacd8b4047d396f1fc00495be1310a9d4261d587c6c62193ffa949256323
 size 267951896