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jonatasgrosman/exp_w2v2t_ja_unispeech-sat_s946

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README.md ADDED
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+ ---
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+ language:
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+ - ja
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+ license: apache-2.0
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+ tags:
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+ - automatic-speech-recognition
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+ - ja
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+ datasets:
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+ - mozilla-foundation/common_voice_7_0
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+ ---
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+ # exp_w2v2t_ja_unispeech-sat_s946
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+
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+ Fine-tuned [microsoft/unispeech-sat-large](https://huggingface.co/microsoft/unispeech-sat-large) for speech recognition using the train split of [Common Voice 7.0 (ja)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
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+ When using this model, make sure that your speech input is sampled at 16kHz.
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+
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+ This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
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+
config.json ADDED
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+ {
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+ "_name_or_path": "microsoft/unispeech-sat-large",
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+ "activation_dropout": 0.05,
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+ "apply_spec_augment": true,
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+ "architectures": [
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+ "UniSpeechSatForCTC"
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+ ],
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+ "attention_dropout": 0.05,
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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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+ "conv_bias": false,
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+ "ctc_loss_reduction": "sum",
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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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+ "hidden_act": "gelu",
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+ "tokenizer_class": "Wav2Vec2CTCTokenizer",
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.16.0.dev0",
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+ "use_weighted_layer_sum": false,
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+ "vocab_size": 2121,
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+ "xvector_output_dim": 512
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+ }
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transcriptions_cv7_test.json ADDED
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