Upload Tensorflow model
Browse files- README.md +45 -1
- config.json +56 -0
- tf_model.h5 +3 -0
README.md
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---
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-
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---
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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: organon-fallacy-classification
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results: []
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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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# organon-fallacy-classification
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This model is a fine-tuned version of [q3fer/fallacy_classifier_01](https://huggingface.co/q3fer/fallacy_classifier_01) on an unknown dataset.
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It achieves the following results on the evaluation set:
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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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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### Training results
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### Framework versions
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- Transformers 4.25.1
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- TensorFlow 2.9.2
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- Datasets 2.8.0
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- Tokenizers 0.13.2
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config.json
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{
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"_name_or_path": "q3fer/fallacy_classifier_01",
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"activation": "gelu",
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"architectures": [
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"DistilBertForSequenceClassification"
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],
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"attention_dropout": 0.1,
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"dim": 768,
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"dropout": 0.1,
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"hidden_dim": 3072,
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"id2label": {
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"0": "ad hominem",
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"1": "ad populum",
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"2": "appeal to emotion",
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"3": "circular reasoning",
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"4": "equivocation",
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"5": "fallacy of credibility",
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"6": "fallacy of extension",
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"7": "fallacy of logic",
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"8": "fallacy of relevance",
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"9": "false causality",
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"10": "false dilemma",
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"11": "faulty generalization",
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"12": "intentional",
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"13": "miscellaneous"
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},
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"initializer_range": 0.02,
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"label2id": {
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"ad hominem": 0,
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"ad populum": 1,
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"appeal to emotion": 2,
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"circular reasoning": 3,
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"equivocation": 4,
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"fallacy of credibility": 5,
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"fallacy of extension": 6,
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"fallacy of logic": 7,
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"fallacy of relevance": 8,
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"false causality": 9,
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"false dilemma": 10,
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"faulty generalization": 11,
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"intentional": 12,
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"miscellaneous": 13
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},
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"max_position_embeddings": 512,
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"model_type": "distilbert",
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"n_heads": 12,
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"n_layers": 6,
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"pad_token_id": 0,
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"qa_dropout": 0.1,
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"seq_classif_dropout": 0.2,
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"sinusoidal_pos_embds": false,
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"tie_weights_": true,
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"torch_dtype": "float32",
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"transformers_version": "4.25.1",
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"vocab_size": 30522
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}
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tf_model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:4157a11b18f429cabd361d304881c8c3fe1f34b498a4cedeb3bb45c9dfbbd340
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size 267993256
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