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 [albert-base-v2](https://huggingface.co/albert-base-v2) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 1.0233
-- Train End Logits Accuracy: 0.7231
-- Train Start Logits Accuracy: 0.6851
+- Train Loss: 0.6272
+- Train End Logits Accuracy: 0.8195
+- Train Start Logits Accuracy: 0.7814
 - Validation Loss: 0.0
 - Validation End Logits Accuracy: 0.0
 - Validation Start Logits Accuracy: 0.0
-- Epoch: 0
+- 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 |
 |:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
 | 1.0233     | 0.7231                    | 0.6851                      | 0.0             | 0.0                            | 0.0                              | 0     |
+| 0.6272     | 0.8195                    | 0.7814                      | 0.0             | 0.0                            | 0.0                              | 1     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3658aa42a623c45f35405b46b261cc1ceb3855445c7a04ea1d0df09bb58b96eb
+oid sha256:be833f08ac9f5de7ae821dff26c9a8bdc472e9daea101113e03551ac068e0e2a
 size 44417688