Training in progress epoch 11

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: 0.6745
-- Validation Loss: 0.6418
-- Train Accuracy: 0.6692
-- Epoch: 0
+- Train Loss: 0.2153
+- Validation Loss: 0.1843
+- Train Accuracy: 1.0
+- Epoch: 11
 
 ## Model description
 
@@ -44,6 +44,17 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
 | 0.6745     | 0.6418          | 0.6692         | 0     |
+| 0.6265     | 0.6085          | 0.6692         | 1     |
+| 0.6114     | 0.5811          | 0.6692         | 2     |
+| 0.5707     | 0.5465          | 0.6692         | 3     |
+| 0.5432     | 0.5032          | 0.6692         | 4     |
+| 0.4996     | 0.4534          | 0.6923         | 5     |
+| 0.4458     | 0.4010          | 0.8308         | 6     |
+| 0.3902     | 0.3462          | 0.8538         | 7     |
+| 0.3359     | 0.2963          | 0.9077         | 8     |
+| 0.3111     | 0.2598          | 0.9615         | 9     |
+| 0.2633     | 0.2147          | 0.9846         | 10    |
+| 0.2153     | 0.1843          | 1.0            | 11    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:763cf3ea84df76918e3d1c34d2e7dfa71a9a2ced7c44edc556fd7791df2a69d1
 size 267955144