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 [Rocketknight1/distilbert-base-uncased-finetuned-squad](https://huggingface.co/Rocketknight1/distilbert-base-uncased-finetuned-squad) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 1.0552
-- Train End Logits Accuracy: 0.7055
-- Train Start Logits Accuracy: 0.6754
-- Validation Loss: 0.9062
-- Validation End Logits Accuracy: 0.7467
-- Validation Start Logits Accuracy: 0.7310
-- Epoch: 0
+- Train Loss: 0.6589
+- Train End Logits Accuracy: 0.8072
+- Train Start Logits Accuracy: 0.7870
+- Validation Loss: 0.8472
+- Validation End Logits Accuracy: 0.7694
+- Validation Start Logits Accuracy: 0.7506
+- 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 |
 |:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
 | 1.0552     | 0.7055                    | 0.6754                      | 0.9062          | 0.7467                         | 0.7310                           | 0     |
+| 0.6589     | 0.8072                    | 0.7870                      | 0.8472          | 0.7694                         | 0.7506                           | 1     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:900e4a91fb91be67dc47cd425e733d24ddaf9caf98059f1ef6279171f9b218cc
+oid sha256:f358176c10e624cd7b2381fc2ab1992e2374b9290ed0f3ccecffac0519a8cbef
 size 265583688