Training in progress epoch 1

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: 1.1671
-- Train End Logits Accuracy: 0.6791
-- Train Start Logits Accuracy: 0.6668
-- Validation Loss: 0.6925
-- Validation End Logits Accuracy: 0.7903
-- Validation Start Logits Accuracy: 0.7716
-- Epoch: 0
+- Train Loss: 0.5541
+- Train End Logits Accuracy: 0.8257
+- Train Start Logits Accuracy: 0.8179
+- Validation Loss: 0.5747
+- Validation End Logits Accuracy: 0.8230
+- Validation Start Logits Accuracy: 0.8090
+- Epoch: 1
 
 ## Model description
 
@@ -47,6 +47,7 @@ The following hyperparameters were used during training:
 | Train Loss | Train End Logits Accuracy | Train Start Logits Accuracy | Validation Loss | Validation End Logits Accuracy | Validation Start Logits Accuracy | Epoch |
 |:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
 | 1.1671     | 0.6791                    | 0.6668                      | 0.6925          | 0.7903                         | 0.7716                           | 0     |
+| 0.5541     | 0.8257                    | 0.8179                      | 0.5747          | 0.8230                         | 0.8090                           | 1     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:ba55dd0a62dcba3c6074f4197348a593c9af14d3c6a4ca8624c0d915bbef723e
 size 265583592