Training in progress epoch 3

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: 0.5467
-- Validation Loss: 0.5521
-- Train Accuracy: 0.7349
-- Epoch: 1
+- Train Loss: 0.3306
+- Validation Loss: 0.5086
+- Train Accuracy: 0.7229
+- Epoch: 3
 
 ## Model description
 
@@ -45,6 +45,8 @@ The following hyperparameters were used during training:
 |:----------:|:---------------:|:--------------:|:-----:|
 | 0.6607     | 0.5995          | 0.7349         | 0     |
 | 0.5467     | 0.5521          | 0.7349         | 1     |
+| 0.4237     | 0.5182          | 0.7470         | 2     |
+| 0.3306     | 0.5086          | 0.7229         | 3     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:136e6deeb211a543dad060c357a2f8f9272ea5b36b9c5bb53603b1b080474944
 size 267951808