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Full models v2.0

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README.md ADDED
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+ ---
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+ language:
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+ - en
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+ - mk
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+ tags:
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+ - bicleaner-ai
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+ tasks:
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+ - text-classification
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+ ---
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+
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+ # Bicleaner AI model for en-mk
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+ Bicleaner AI is a tool in Python that aims at detecting noisy sentence pairs in a parallel corpus. It
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+ indicates the likelihood of a pair of sentences being mutual translations (with a value near to 1) or not (with a value near to 0).
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+ Sentence pairs considered very noisy are scored with 0.
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+
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+ Find out at our repository for further instructions on how to use it: https://github.com/bitextor/bicleaner-ai
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+ {
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+ "_name_or_path": "bitextor/bicleaner-ai-full-en-mk",
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+ "architectures": [
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+ "XLMRBicleanerAI"
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+ ],
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+ "hidden_act": "gelu",
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+ "model_type": "xlm-roberta",
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+ "output_past": true,
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+ "pad_token_id": 1,
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+ "position_embedding_type": "absolute",
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+ "use_cache": true,
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+ }
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+ bicleaner_ai_version: 2.0
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+ precision_score: 0.873
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+ recall_score: 0.940
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+ f1_score: 0.905
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+ matthews_corr_coef: 0.895
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+ source_lang: en
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+ target_lang: mk
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+ porn_removal_side: sl
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+ noisy_mean_perp: -4.19175949097424
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+ classifier_type: xlmr
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+ classifier_settings:
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+ activation: relu
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+ base_model: jplu/tf-xlm-roberta-base
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+ batch_size: 96
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+ calibration_params: [8.18800163, -3.33342505]
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+ epochs: 15
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+ loss: binary_crossentropy
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+ maxlen: 150
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+ model_name: bitextor/bicleaner-ai-full-en-mk
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+ n_classes: 2
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+ n_hidden: 2048
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+ patience: 3
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+ steps_per_epoch: 3000
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+ warmup_steps: 1000
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