Upload TFRobertaForSequenceClassification

README.md

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 ---
+tags:
+- generated_from_keras_callback
 model-index:
-- name: twitter-roberta-base-hate-latest
+- name: twitter-roberta-base-hate-multiclass-latest
   results: []
-pipeline_tag: text-classification
-language:
-- en
 ---
-# cardiffnlp/twitter-roberta-base-hate-multiclass-latest
-
-This model is a fine-tuned version of [cardiffnlp/twitter-roberta-base-2022-154m](https://huggingface.co/cardiffnlp/twitter-roberta-base-2022-154m) for multiclass hate-speech classification. A combination of 13 different hate-speech datasets in the English language were used to fine-tune the model.
-
-## Classes available
-```
-{
-  "sexism": 0,
-  "racism": 1,
-  "disability": 2,
-  "sexual_orientation": 3,
-  "religion": 4,
-  "other": 5,
-  "not-hate":6
-}
-```
-
-## Following metrics are achieved 
-* Accuracy: 0.9419
-* Macro-F1: 0.5752
-* Weighted-F1: 0.9390
-
-### Usage
-Install tweetnlp via pip.
-```shell
-pip install tweetnlp
-```
-Load the model in python.
-```python
-import tweetnlp
-model = tweetnlp.Classifier("cardiffnlp/twitter-roberta-base-hate-latest")
-model.predict('Women are trash 2.')
->> {'label': 'sexism'}
-model.predict('@user dear mongoloid respect sentiments & belief refrain totalitarianism. @user')
->> {'label': 'disability'}
-
-```
+
+<!-- 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-hate-multiclass-latest
+
+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
+- Datasets 2.10.1
+- Tokenizers 0.12.1

tf_model.h5

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