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-D1
+- name: xtremedistil-l6-h256-uncased-future-time-references-D1
   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-D1
+# xtremedistil-l6-h256-uncased-future-time-references-D1
 
 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: 0.0117
-- Train Sparse Categorical Accuracy: 0.9974
-- Validation Loss: 0.0126
-- Validation Sparse Categorical Accuracy: 0.9974
-- Epoch: 2
+
 
 ## Model description
 
@@ -42,11 +38,6 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Train Loss | Train Sparse Categorical Accuracy | Validation Loss | Validation Sparse Categorical Accuracy | Epoch |
-|:----------:|:---------------------------------:|:---------------:|:--------------------------------------:|:-----:|
-| 0.0276     | 0.9932                            | 0.0156          | 0.9968                                 | 0     |
-| 0.0138     | 0.9969                            | 0.0125          | 0.9972                                 | 1     |
-| 0.0117     | 0.9974                            | 0.0126          | 0.9974                                 | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d931d219affde40e4634f9d2c276b66bf03ab834d8009c3eed816e9d83591d6f
+oid sha256:a3664f4f7afeacbb9b7bff1d2afca8b1fcbf84fb3eeb336a2ec4fbbf31560f9f
 size 51151160