Multilingual models Bicleaner AI v3.0.0

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,64 @@
+---
+language:
+  - en
+  - ar
+  - az
+  - bg
+  - bs
+  - ca
+  - cnr
+  - cs
+  - cy
+  - da
+  - de
+  - el
+  - es
+  - et
+  - eu
+  - fi
+  - fr
+  - ga
+  - gd
+  - gl
+  - he
+  - hi
+  - hr
+  - hu
+  - is
+  - it
+  - ja
+  - lt
+  - lv
+  - mk
+  - mt
+  - nb
+  - nl
+  - nn
+  - pl
+  - pt
+  - ro
+  - ru
+  - sk
+  - sl
+  - sq
+  - sr
+  - sv
+  - sw
+  - tr
+  - uk
+  - vi
+  - zh
+  - multilingual
+license: cc-by-sa-4.0
+tags:
+  - bicleaner-ai
+tasks:
+  - text-classification
+---
+
+# Bicleaner AI multilingual full model for en-xx
+Bicleaner AI is a tool that aims at detecting noisy sentence pairs in a parallel corpus. It
+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).
+Sentence pairs considered very noisy are scored with 0.
+
+Find out at our repository for further instructions on how to use it: https://github.com/bitextor/bicleaner-ai

config.json

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+{
+  "_name_or_path": "bitextor/bicleaner-ai-full-en-xx",
+  "architectures": [
+    "XLMRBicleanerAI"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "eos_token_id": 2,
+  "head_activation": "relu",
+  "head_dropout": 0.1,
+  "head_hidden_size": 2048,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "xlm-roberta",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "output_past": true,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "transformers_version": "4.30.2",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 250002
+}

metadata.yaml

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+bicleaner_ai_version: 3.0.0
+precision_score: 0.881
+recall_score: 0.902
+f1_score: 0.891
+matthews_corr_coef: 0.879
+source_lang: en
+target_lang: xx
+classifier_type: xlmr
+classifier_settings:
+    activation: relu
+    base_model: jplu/tf-xlm-roberta-base
+    batch_size: 128
+    calibration_params: [1.80103183, -0.55578989]
+    epochs: 10
+    loss: binary_crossentropy
+    maxlen: 150
+    model_name: bitextor/bicleaner-ai-full-en-xx
+    n_classes: 2
+    n_hidden: 2048
+    patience: 3
+    steps_per_epoch: 20000
+    warmup_steps: 1000

sentencepiece.bpe.model

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special_tokens_map.json

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+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "mask_token": {
+    "content": "<mask>",
+    "lstrip": true,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "unk_token": "<unk>"
+}

tf_model.h5

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tokenizer.json

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tokenizer_config.json

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+  "clean_up_tokenization_spaces": true,
+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "mask_token": {
+    "__type": "AddedToken",
+    "content": "<mask>",
+    "lstrip": true,
+    "normalized": true,
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+    "single_word": false
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+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "XLMRobertaTokenizer",
+  "unk_token": "<unk>"
+}