Training in progress epoch 4

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: 0.5245
-- Validation Loss: 0.6397
-- Train Accuracy: 0.8462
-- Epoch: 2
+- Train Loss: 0.3125
+- Validation Loss: 0.5946
+- Train Accuracy: 0.8549
+- Epoch: 4
 
 ## Model description
 
@@ -47,6 +47,8 @@ The following hyperparameters were used during training:
 | 2.3373     | 1.2016          | 0.7546         | 0     |
 | 0.8827     | 0.7496          | 0.8309         | 1     |
 | 0.5245     | 0.6397          | 0.8462         | 2     |
+| 0.3795     | 0.6053          | 0.8518         | 3     |
+| 0.3125     | 0.5946          | 0.8549         | 4     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:1d2c9232dd57ee042fc2c4613f041e2171286988daa439a263cdb14ef6bbb85a
 size 268133320