add model

README.md

@@ -3,22 +3,18 @@ license: mit
 tags:
 - generated_from_keras_callback
 model-index:
-- name: jonaskoenig/xtremedistil-l6-h256-uncased-future-time-references-D2
+- name: xtremedistil-l6-h256-uncased-future-time-references-D2
   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-future-time-references-D2
+# xtremedistil-l6-h256-uncased-future-time-references-D2
 
 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: 0.0068
-- Train Sparse Categorical Accuracy: 0.9980
-- Validation Loss: 0.0074
-- Validation Sparse Categorical Accuracy: 0.9982
-- Epoch: 3
+
 
 ## Model description
 
@@ -42,12 +38,6 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Train Loss | Train Sparse Categorical Accuracy | Validation Loss | Validation Sparse Categorical Accuracy | Epoch |
-|:----------:|:---------------------------------:|:---------------:|:--------------------------------------:|:-----:|
-| 0.0388     | 0.9891                            | 0.0154          | 0.9957                                 | 0     |
-| 0.0133     | 0.9962                            | 0.0088          | 0.9975                                 | 1     |
-| 0.0087     | 0.9974                            | 0.0081          | 0.9978                                 | 2     |
-| 0.0068     | 0.9980                            | 0.0074          | 0.9982                                 | 3     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1439ceefa0e410640871a3f2358dadf1ee1e0b4c5e588330418e1d0294141fb8
+oid sha256:c33046e75214e79f31152fff0faf5b6b2e31862f47626af76986ea780bc92188
 size 51151160