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PECCAVI_TEXT: |
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Entailment: |
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task: "text-classification" |
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model: "ynie/roberta-large-snli_mnli_fever_anli_R1_R2_R3-nli" |
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Masking: |
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task: "fill-mask" |
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tokenizer: "bert-base-uncased" |
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model: "bert-base-uncased" |
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Vocabulary: |
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tokenizer: "bert-base-uncased" |
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model: "bert-base-uncased" |
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permissible_ratio: 1.0 |
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Sampling: |
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tokenizer: "bert-base-uncased" |
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model: "bert-base-uncased" |
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Metrics: |
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EuclideanDistance: "sentence-transformers/all-MiniLM-L6-v2" |
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Distortion: "gpt2" |
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Detector: |
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tokenizer: "bert-base-uncased" |
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model: "bert-base-uncased" |
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Paraphrase: |
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tokenizer: "humarin/chatgpt_paraphraser_on_T5_base" |
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model: "humarin/chatgpt_paraphraser_on_T5_base" |
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num_beams: 10 |
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num_beam_groups: 10 |
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num_return_sequences: 10 |
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repetition_penalty: 10.0 |
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diversity_penalty: 3.0 |
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no_repeat_ngram_size: 2 |
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temperature: 0.7 |
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max_length: 64 |
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