add model

README.md

@@ -3,22 +3,22 @@ license: mit
 tags:
 - generated_from_keras_callback
 model-index:
-- name: jonaskoenig/xtremedistil-l6-h256-uncased-question-vs-statement-classifier
+- name: xtremedistil-l6-h256-uncased-question-vs-statement-classifier
   results: []
 ---
 
 <!-- This model card has been generated automatically according to the information Keras had access to. You should
 probably proofread and complete it, then remove this comment. -->
 
-# jonaskoenig/xtremedistil-l6-h256-uncased-question-vs-statement-classifier
+# xtremedistil-l6-h256-uncased-question-vs-statement-classifier
 
 This model is a fine-tuned version of [microsoft/xtremedistil-l6-h256-uncased](https://huggingface.co/microsoft/xtremedistil-l6-h256-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.0262
-- Train Sparse Categorical Accuracy: 0.9875
-- Validation Loss: 0.0286
-- Validation Sparse Categorical Accuracy: 0.9864
-- Epoch: 2
+- Train Loss: 0.0227
+- Train Sparse Categorical Accuracy: 0.9894
+- Validation Loss: 0.0294
+- Validation Sparse Categorical Accuracy: 0.9868
+- Epoch: 3
 
 ## Model description
 
@@ -47,6 +47,7 @@ The following hyperparameters were used during training:
 | 0.0681     | 0.9770                            | 0.0327          | 0.9839                                 | 0     |
 | 0.0301     | 0.9856                            | 0.0321          | 0.9853                                 | 1     |
 | 0.0262     | 0.9875                            | 0.0286          | 0.9864                                 | 2     |
+| 0.0227     | 0.9894                            | 0.0294          | 0.9868                                 | 3     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9d9092f15b911cba38de882f035be02ae7673812b99059742762f73db12e9bce
+oid sha256:7e1053c5e8b9084611af6d1936fa2011bdfbf84aab09611fff0fc108ae55bcce
 size 51151160