jonatasgrosman/exp_w2v2t_ja_unispeech-sat_s635

README.md

@@ -0,0 +1,17 @@
+---
+language:
+- ja
+license: apache-2.0
+tags:
+- automatic-speech-recognition
+- ja
+datasets:
+- mozilla-foundation/common_voice_7_0
+---
+# exp_w2v2t_ja_unispeech-sat_s635
+
+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).
+When using this model, make sure that your speech input is sampled at 16kHz.
+
+This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
+    

config.json

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+{
+  "_name_or_path": "microsoft/unispeech-sat-large",
+  "activation_dropout": 0.05,
+  "apply_spec_augment": true,
+  "architectures": [
+    "UniSpeechSatForCTC"
+  ],
+  "attention_dropout": 0.05,
+  "bos_token_id": 1,
+  "classifier_proj_size": 256,
+  "codevector_dim": 768,
+  "contrastive_logits_temperature": 0.1,
+  "conv_bias": false,
+  "conv_dim": [
+    512,
+    512,
+    512,
+    512,
+    512,
+    512,
+    512
+  ],
+  "conv_kernel": [
+    10,
+    3,
+    3,
+    3,
+    3,
+    2,
+    2
+  ],
+  "conv_stride": [
+    5,
+    2,
+    2,
+    2,
+    2,
+    2,
+    2
+  ],
+  "ctc_loss_reduction": "sum",
+  "ctc_zero_infinity": false,
+  "diversity_loss_weight": 0.1,
+  "do_stable_layer_norm": true,
+  "eos_token_id": 2,
+  "feat_extract_activation": "gelu",
+  "feat_extract_dropout": 0.0,
+  "feat_extract_norm": "layer",
+  "feat_proj_dropout": 0.05,
+  "feat_quantizer_dropout": 0.0,
+  "final_dropout": 0.05,
+  "hidden_act": "gelu",
+  "hidden_dropout": 0.05,
+  "hidden_size": 1024,
+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "layer_norm_eps": 1e-05,
+  "layerdrop": 0.05,
+  "mask_feature_length": 10,
+  "mask_feature_min_masks": 0,
+  "mask_feature_prob": 0.0,
+  "mask_time_length": 10,
+  "mask_time_min_masks": 2,
+  "mask_time_prob": 0.05,
+  "model_type": "unispeech-sat",
+  "num_attention_heads": 16,
+  "num_clusters": 504,
+  "num_codevector_groups": 2,
+  "num_codevectors_per_group": 320,
+  "num_conv_pos_embedding_groups": 16,
+  "num_conv_pos_embeddings": 128,
+  "num_feat_extract_layers": 7,
+  "num_hidden_layers": 24,
+  "num_negatives": 100,
+  "pad_token_id": 0,
+  "proj_codevector_dim": 768,
+  "tdnn_dilation": [
+    1,
+    2,
+    3,
+    1,
+    1
+  ],
+  "tdnn_dim": [
+    512,
+    512,
+    512,
+    512,
+    1500
+  ],
+  "tdnn_kernel": [
+    5,
+    3,
+    3,
+    1,
+    1
+  ],
+  "tokenizer_class": "Wav2Vec2CTCTokenizer",
+  "torch_dtype": "float32",
+  "transformers_version": "4.16.0.dev0",
+  "use_weighted_layer_sum": false,
+  "vocab_size": 2121,
+  "xvector_output_dim": 512
+}

preprocessor_config.json

@@ -0,0 +1,10 @@
+{
+  "do_normalize": true,
+  "feature_extractor_type": "Wav2Vec2FeatureExtractor",
+  "feature_size": 1,
+  "padding_side": "right",
+  "padding_value": 0,
+  "processor_class": "Wav2Vec2Processor",
+  "return_attention_mask": true,
+  "sampling_rate": 16000
+}

pytorch_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d73ea9792ca31bb821a54bf010de17a1d36784d9a44b425814854422aa114330
+size 1270607039

special_tokens_map.json

@@ -0,0 +1 @@
+{"bos_token": "<s>", "eos_token": "</s>", "unk_token": "<unk>", "pad_token": "<pad>"}

tokenizer_config.json

@@ -0,0 +1 @@
+{"unk_token": "<unk>", "bos_token": "<s>", "eos_token": "</s>", "pad_token": "<pad>", "do_lower_case": false, "word_delimiter_token": "|", "special_tokens_map_file": null, "tokenizer_file": null, "name_or_path": "/tmp/tmpnoqeo38s", "tokenizer_class": "Wav2Vec2CTCTokenizer", "processor_class": "Wav2Vec2Processor"}

vocab.json

@@ -0,0 +1 @@
+{"<pad>": 0, "<s>": 1, "</s>": 2, "<unk>": 3, "|": 4, "'": 5, "-": 6, "a": 7, "b": 8, "c": 9, "d": 10, "e": 11, "f": 12, "g": 13, "h": 14, "i": 15, "j": 16, "k": 17, "l": 18, "m": 19, "n": 20, "o": 21, "p": 22, "q": 23, "r": 24, "s": 25, "t": 26, "u": 27, "v": 28, "w": 29, "x": 30, "y": 31, "z": 32, "々": 33, "あ": 34, "い": 35, "う": 36, "ぇ": 37, "え": 38, "お": 39, "か": 40, "が": 41, "き": 42, "ぎ": 43, "く": 44, "ぐ": 45, "け": 46, "げ": 47, "こ": 48, "ご": 49, "さ": 50, "ざ": 51, "し": 52, "じ": 53, "す": 54, "ず": 55, "せ": 56, "ぜ": 57, "そ": 58, "ぞ": 59, "た": 60, "だ": 61, "ち": 62, "っ": 63, "つ": 64, "づ": 65, "て": 66, "で": 67, "と": 68, "ど": 69, "な": 70, "に": 71, "ぬ": 72, "ね": 73, "の": 74, "は": 75, "ば": 76, "ぱ": 77, "ひ": 78, "び": 79, "ぴ": 80, "ふ": 81, "ぶ": 82, "ぷ": 83, "へ": 84, "べ": 85, "ぺ": 86, "ほ": 87, "ぼ": 88, "ぽ": 89, "ま": 90, "み": 91, "む": 92, "め": 93, "も": 94, "ゃ": 95, "や": 96, "ゅ": 97, "ゆ": 98, "ょ": 99, "よ": 100, "ら": 101, "り": 102, "る": 103, "れ": 104, "ろ": 105, "わ": 106, "を": 107, "ん": 108, "ァ": 109, "ア": 110, "ィ": 111, "イ": 112, "ゥ": 113, "ウ": 114, "ェ": 115, "エ": 116, "ォ": 117, "オ": 118, "カ": 119, "ガ": 120, "キ": 121, "ギ": 122, "ク": 123, "グ": 124, "ケ": 125, "ゲ": 126, "コ": 127, "ゴ": 128, "サ": 129, "ザ": 130, "シ": 131, "ジ": 132, "ス": 133, "ズ": 134, "セ": 135, "ゼ": 136, "ソ": 137, "ゾ": 138, "タ": 139, "ダ": 140, "チ": 141, "ッ": 142, "ツ": 143, "ヅ": 144, "テ": 145, "デ": 146, "ト": 147, "ド": 148, "ナ": 149, "ニ": 150, "ヌ": 151, "ネ": 152, "ノ": 153, "ハ": 154, "バ": 155, "パ": 156, "ヒ": 157, "ビ": 158, "ピ": 159, "フ": 160, "ブ": 161, "プ": 162, "ヘ": 163, "ベ": 164, "ペ": 165, "ホ": 166, "ボ": 167, "ポ": 168, "マ": 169, "ミ": 170, "ム": 171, "メ": 172, "モ": 173, "ャ": 174, "ヤ": 175, "ュ": 176, "ユ": 177, "ョ": 178, "ヨ": 179, "ラ": 180, "リ": 181, "ル": 182, "レ": 183, "ロ": 184, "ワ": 185, "ン": 186, "ヴ": 187, "ヶ": 188, "ー": 189, "一": 190, "丁": 191, "七": 192, "万": 193, "丈": 194, "三": 195, "上": 196, "下": 197, "不": 198, "与": 199, "世": 200, "丘": 201, "両": 202, "並": 203, "中": 204, "丸": 205, "丹": 206, "主": 207, "丼": 208, "久": 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