Training in progress epoch 4

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: 0.9851
-- Validation Loss: 1.2769
-- Train Accuracy: 0.575
-- Epoch: 3
+- Train Loss: 0.7653
+- Validation Loss: 1.1689
+- Train Accuracy: 0.675
+- Epoch: 4
 
 ## Model description
 
@@ -47,6 +47,7 @@ The following hyperparameters were used during training:
 | 1.7165     | 1.7453          | 0.525          | 1     |
 | 1.2878     | 1.4632          | 0.55           | 2     |
 | 0.9851     | 1.2769          | 0.575          | 3     |
+| 0.7653     | 1.1689          | 0.675          | 4     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:6ab97bd667449fac2125eeb3efe608a76a34dc0ea95ab78923f585800eed7d90
 size 267982528