Upload TFBertForSequenceClassification

README.md

@@ -1,3 +1,46 @@
 ---
-license: cc
+tags:
+- generated_from_keras_callback
+model-index:
+- name: bert-fine-tuning-sentiment-stocks-analyis-uncased
+  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. -->
+
+# bert-fine-tuning-sentiment-stocks-analyis-uncased
+
+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 4.30.2
+- TensorFlow 2.12.0
+- Tokenizers 0.13.3

config.json

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 {
-  "_name_or_path": "/content/bert-fine-tuning-model",
+  "_name_or_path": "/content/bert-model",
   "architectures": [
     "BertForSequenceClassification"
   ],

tf_model.h5

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1b5709974aa6ed535caedfa228595df788745814bb5c62a8d7ac82d8b6beb75e
+size 737678620