Training in progress epoch 2

README.md

@@ -14,13 +14,13 @@ 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: 0.8193
-- Train End Logits Accuracy: 0.7377
-- Train Start Logits Accuracy: 0.7260
-- Validation Loss: 0.8504
-- Validation End Logits Accuracy: 0.7313
-- Validation Start Logits Accuracy: 0.7260
-- Epoch: 1
+- Train Loss: 0.5982
+- Train End Logits Accuracy: 0.8004
+- Train Start Logits Accuracy: 0.7932
+- Validation Loss: 0.8225
+- Validation End Logits Accuracy: 0.7505
+- Validation Start Logits Accuracy: 0.7440
+- Epoch: 2
 
 ## Model description
 
@@ -48,6 +48,7 @@ The following hyperparameters were used during training:
 |:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
 | 1.3795     | 0.6168                    | 0.6015                      | 0.9590          | 0.7074                         | 0.6950                           | 0     |
 | 0.8193     | 0.7377                    | 0.7260                      | 0.8504          | 0.7313                         | 0.7260                           | 1     |
+| 0.5982     | 0.8004                    | 0.7932                      | 0.8225          | 0.7505                         | 0.7440                           | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:266eff83cc1731ec7f3927d403e20e753b9dc77eac64602fc3336bc6afd76a03
 size 265583592