Training in progress epoch 1

README.md

@@ -15,13 +15,13 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [albert/albert-base-v2](https://huggingface.co/albert/albert-base-v2) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 1.2646
-- Train End Logits Accuracy: 0.6255
-- Train Start Logits Accuracy: 0.6055
-- Validation Loss: 0.9592
-- Validation End Logits Accuracy: 0.6964
-- Validation Start Logits Accuracy: 0.6829
-- Epoch: 0
+- Train Loss: 0.7456
+- Train End Logits Accuracy: 0.7778
+- Train Start Logits Accuracy: 0.7525
+- Validation Loss: 0.9444
+- Validation End Logits Accuracy: 0.7069
+- Validation Start Logits Accuracy: 0.6994
+- Epoch: 1
 
 ## Model description
 
@@ -48,6 +48,7 @@ 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 |
 |:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
 | 1.2646     | 0.6255                    | 0.6055                      | 0.9592          | 0.6964                         | 0.6829                           | 0     |
+| 0.7456     | 0.7778                    | 0.7525                      | 0.9444          | 0.7069                         | 0.6994                           | 1     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:ad10d496b6f750dd27d1fb38a86ca29dead9b717a83b019218eccbd358335663
 size 44417688