Training in progress epoch 3

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: 0.7649
-- Validation Loss: 0.7547
-- Train Accuracy: 0.7413
-- Epoch: 2
+- Train Loss: 0.6383
+- Validation Loss: 0.6743
+- Train Accuracy: 0.7761
+- Epoch: 3
 
 ## Model description
 
@@ -47,6 +47,7 @@ The following hyperparameters were used during training:
 | 1.4044     | 1.1742          | 0.6766         | 0     |
 | 1.0292     | 0.8728          | 0.7015         | 1     |
 | 0.7649     | 0.7547          | 0.7413         | 2     |
+| 0.6383     | 0.6743          | 0.7761         | 3     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:ad8ed677e70fea07343f77cd313ce1e37e23b1d47cb004629cf4d20a9b89f2fe
 size 267961024