Training in progress epoch 0

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: 0.3148
-- Validation Loss: 0.7252
-- Train Accuracy: 0.6651
-- Epoch: 3
+- Train Loss: 0.2363
+- Validation Loss: 0.7394
+- Train Accuracy: 0.6923
+- Epoch: 0
 
 ## Model description
 
@@ -44,10 +44,7 @@ The following hyperparameters were used during training:
 
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
-| 0.6159     | 0.6435          | 0.6490         | 0     |
-| 0.5124     | 0.6253          | 0.6667         | 1     |
-| 0.3941     | 0.6584          | 0.6651         | 2     |
-| 0.3148     | 0.7252          | 0.6651         | 3     |
+| 0.2363     | 0.7394          | 0.6923         | 0     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:7f55f4abdd120eea87892a30d0403e93cfbc6e588a38efd2ff54e697943a47bf
 size 267955144