Upload TFDistilBertForSequenceClassification

README.md

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+---
+tags:
+- generated_from_keras_callback
+model-index:
+- name: url-relevance
+  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. -->
+
+# url-relevance
+
+This model was trained from scratch on an unknown dataset.
+It achieves the following results on the evaluation set:
+
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- optimizer: None
+- training_precision: float32
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- TensorFlow 2.15.0
+- Datasets 2.18.0
+- Tokenizers 0.15.2

config.json

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 {
-  "_name_or_path": "distilbert-base-uncased",
+  "_name_or_path": "./url_relevance/checkpoint-500",
   "activation": "gelu",
   "architectures": [
-    "DistilBertWithTabular"
+    "DistilBertForSequenceClassification"
   ],
   "attention_dropout": 0.1,
   "dim": 768,

tf_model.h5

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+version https://git-lfs.github.com/spec/v1
+oid sha256:8da1e3ce26ee0919d8299567669be2832c5e66fecc867317c7522e346e5c2214
+size 267951808