carlosdanielhernandezmena commited on
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Uploading the first 7 files needed to test the model: confing.json, preprocessor_config.json, pytorch_model.bin, special_tokens_map.json, tokenizer_config.json, training_args.bin and vocab.json

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The "wav2vec2-large-xlsr-53-maltese-64h" is a model trained with the data gathered by the MASRI-Project at the University of Malta between 2019 to 2021.
https://www.um.edu.mt/projects/masri/

The model was trained by Carlos Mena during November (2022) in the servers of the Language and Voice Lab (LVL) at Reykjavík University (Iceland).
https://lvl.ru.is/

config.json ADDED
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+ {
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+ "_name_or_path": "facebook/wav2vec2-large-xlsr-53",
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+ "activation_dropout": 0.0,
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+ "adapter_kernel_size": 3,
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+ "adapter_stride": 2,
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+ "add_adapter": false,
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+ "apply_spec_augment": true,
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+ "architectures": [
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+ "Wav2Vec2ForCTC"
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+ "attention_dropout": 0.1,
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+ "bos_token_id": 1,
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+ "classifier_proj_size": 256,
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+ "codevector_dim": 768,
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+ "contrastive_logits_temperature": 0.1,
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+ "ctc_loss_reduction": "mean",
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+ "ctc_zero_infinity": false,
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+ "diversity_loss_weight": 0.1,
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+ "do_stable_layer_norm": true,
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+ "eos_token_id": 2,
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+ "feat_extract_activation": "gelu",
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+ "gradient_checkpointing": false,
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+ "mask_time_length": 10,
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+ "mask_time_selection": "static",
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+ "model_type": "wav2vec2",
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+ "num_adapter_layers": 3,
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+ "num_attention_heads": 16,
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+ "num_codevector_groups": 2,
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+ "num_codevectors_per_group": 320,
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+ "num_conv_pos_embedding_groups": 16,
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+ "num_conv_pos_embeddings": 128,
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+ "num_feat_extract_layers": 7,
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+ "num_hidden_layers": 24,
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+ "num_negatives": 100,
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+ "output_hidden_size": 1024,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.18.0",
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+ "use_weighted_layer_sum": false,
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+ "vocab_size": 44,
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+ "xvector_output_dim": 512
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+ }
preprocessor_config.json ADDED
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+ {
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+ "do_normalize": true,
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+ "feature_extractor_type": "Wav2Vec2FeatureExtractor",
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+ "padding_side": "right",
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+ "padding_value": 0.0,
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+ "return_attention_mask": false,
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+ "sampling_rate": 16000
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+ }
pytorch_model.bin ADDED
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special_tokens_map.json ADDED
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+ {"bos_token": "<s>", "eos_token": "</s>", "unk_token": "[UNK]", "pad_token": "[PAD]"}
tokenizer_config.json ADDED
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+ {"unk_token": "[UNK]", "bos_token": "<s>", "eos_token": "</s>", "pad_token": "[PAD]", "do_lower_case": false, "word_delimiter_token": "|", "replace_word_delimiter_char": " ", "tokenizer_class": "Wav2Vec2CTCTokenizer"}
training_args.bin ADDED
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vocab.json ADDED
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+ {"è": 0, "ì": 1, "w": 2, "é": 4, "ó": 5, "ċ": 6, "b": 7, "í": 8, "á": 9, "ħ": 10, "q": 11, "-": 12, "t": 13, "p": 14, "g": 15, "ġ": 16, "y": 17, "d": 18, "ò": 19, "h": 20, "ù": 21, "a": 22, "e": 23, "z": 24, "v": 25, "c": 26, "k": 27, "r": 28, "'": 29, "i": 30, "s": 31, "j": 32, "u": 33, "f": 34, "à": 35, "n": 36, "x": 37, "m": 38, "o": 39, "ż": 40, "l": 41, "|": 3, "[UNK]": 42, "[PAD]": 43}