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Upload TFRobertaForSequenceClassification

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  1. README.md +46 -0
  2. config.json +1 -1
  3. tf_model.h5 +3 -0
README.md ADDED
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+ ---
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+ tags:
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+ - generated_from_keras_callback
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+ model-index:
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+ - name: tweet-topic-latest-multi
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information Keras had access to. You should
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+ probably proofread and complete it, then remove this comment. -->
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+
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+ # tweet-topic-latest-multi
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+
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+ This model is a fine-tuned version of [antypasd/tweet-topic-latest-multi](https://huggingface.co/antypasd/tweet-topic-latest-multi) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - optimizer: None
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+ - training_precision: float32
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+
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+ ### Training results
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+
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.23.1
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+ - TensorFlow 2.10.0
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+ - Tokenizers 0.13.1
config.json CHANGED
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  {
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- "_name_or_path": "./troberta-2022-sep_multi/",
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  "architectures": [
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  "RobertaForSequenceClassification"
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  ],
 
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  {
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+ "_name_or_path": "antypasd/tweet-topic-latest-multi",
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  "architectures": [
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  "RobertaForSequenceClassification"
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  ],
tf_model.h5 ADDED
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+ size 498930496