Upload TFRobertaForSequenceClassification

README.md

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+---
+tags:
+- generated_from_keras_callback
+model-index:
+- name: twitter-roberta-base-sentiment-earthquake
+  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. -->
+
+# twitter-roberta-base-sentiment-earthquake
+
+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 4.25.1
+- TensorFlow 2.11.0
+- Tokenizers 0.13.2

config.json

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 {
-  "_name_or_path": "./troberta_whole-dataset",
+  "_name_or_path": "antypasd/twitter-roberta-base-sentiment-earthquake",
   "architectures": [
     "RobertaForSequenceClassification"
   ],

tf_model.h5

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+version https://git-lfs.github.com/spec/v1
+oid sha256:a7a85a1f966a16ad130f557f9b6358fed022460c250c4ff5f1871c49f8ab9ed7
+size 498881344