Full models v2.0

.gitattributes

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 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+lm.* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,18 @@
+---
+language:
+  - es
+  - ca
+  - multilingual
+license: cc-by-sa-4.0
+tags:
+  - bicleaner-ai
+tasks:
+  - text-classification
+---
+
+# Bicleaner AI full model for es-ca
+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-es-ca",
+  "architectures": [
+    "XLMRBicleanerAI"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
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+  "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": "4.26.0",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 250002
+}

lm.ca

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lm.es

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metadata.yaml

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+bicleaner_ai_version: 2.1.0
+precision_score: 0.936
+recall_score: 0.942
+f1_score: 0.939
+matthews_corr_coef: 0.932
+source_lang: es
+target_lang: ca
+source_lm: lm.es
+target_lm: lm.ca
+lm_type: CHARACTER
+clean_mean_perp: -1.0671984888532229
+clean_stddev_perp: 0.18369457140725137
+noisy_mean_perp: -4.069295290010328
+noisy_stddev_perp: 0.19605611292706496
+classifier_type: xlmr
+classifier_settings:
+    activation: relu
+    base_model: jplu/tf-xlm-roberta-base
+    batch_size: 96
+    calibration_params: [0.56599206, -0.24016872]
+    epochs: 15
+    loss: binary_crossentropy
+    maxlen: 150
+    model_name: bitextor/bicleaner-ai-full-es-ca
+    n_classes: 2
+    n_hidden: 2048
+    patience: 3
+    steps_per_epoch: 3000
+    warmup_steps: 1000

sentencepiece.bpe.model

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special_tokens_map.json

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+}

tf_model.h5

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tokenizer.json

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tokenizer_config.json

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+  "name_or_path": "jplu/tf-xlm-roberta-base",
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+  "tokenizer_class": "XLMRobertaTokenizer",
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+}