From 0994ca24c3c1256524a7e8e75bf8fef3d32bad8f Mon Sep 17 00:00:00 2001 From: ModelHub XC Date: Sat, 16 May 2026 04:15:14 +0800 Subject: [PATCH] =?UTF-8?q?=E5=88=9D=E5=A7=8B=E5=8C=96=E9=A1=B9=E7=9B=AE?= =?UTF-8?q?=EF=BC=8C=E7=94=B1ModelHub=20XC=E7=A4=BE=E5=8C=BA=E6=8F=90?= =?UTF-8?q?=E4=BE=9B=E6=A8=A1=E5=9E=8B?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Model: tristayqc/my_zh_CN_asr_cv13_model Source: Original Platform --- .gitattributes | 35 + README.md | 85 + config.json | 116 + model.safetensors | 3 + preprocessor_config.json | 10 + ...out.tfevents.1714088748.40a332caba4d.215.0 | 3 + ...out.tfevents.1714089417.40a332caba4d.215.1 | 3 + ...ut.tfevents.1714093247.37fa2d916277.1565.0 | 3 + ...out.tfevents.1714100455.67f9a4befea0.228.0 | 3 + special_tokens_map.json | 6 + tokenizer_config.json | 48 + training_args.bin | 3 + vocab.json | 3505 +++++++++++++++++ 13 files changed, 3823 insertions(+) create mode 100644 .gitattributes create mode 100644 README.md create mode 100644 config.json create mode 100644 model.safetensors create mode 100644 preprocessor_config.json create mode 100644 runs/Apr25_23-45-47_40a332caba4d/events.out.tfevents.1714088748.40a332caba4d.215.0 create mode 100644 runs/Apr25_23-56-55_40a332caba4d/events.out.tfevents.1714089417.40a332caba4d.215.1 create mode 100644 runs/Apr26_01-00-46_37fa2d916277/events.out.tfevents.1714093247.37fa2d916277.1565.0 create mode 100644 runs/Apr26_03-00-54_67f9a4befea0/events.out.tfevents.1714100455.67f9a4befea0.228.0 create mode 100644 special_tokens_map.json create mode 100644 tokenizer_config.json create mode 100644 training_args.bin create mode 100644 vocab.json diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..a6344aa --- /dev/null +++ b/.gitattributes @@ -0,0 +1,35 @@ +*.7z filter=lfs diff=lfs merge=lfs -text +*.arrow filter=lfs diff=lfs merge=lfs -text +*.bin filter=lfs diff=lfs merge=lfs -text +*.bz2 filter=lfs diff=lfs merge=lfs 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filter=lfs diff=lfs merge=lfs -text +*.tar filter=lfs diff=lfs merge=lfs -text +*.tflite filter=lfs diff=lfs merge=lfs -text +*.tgz filter=lfs diff=lfs merge=lfs -text +*.wasm filter=lfs diff=lfs merge=lfs -text +*.xz 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 diff --git a/README.md b/README.md new file mode 100644 index 0000000..3202eac --- /dev/null +++ b/README.md @@ -0,0 +1,85 @@ +--- +license: apache-2.0 +base_model: jonatasgrosman/wav2vec2-large-xlsr-53-chinese-zh-cn +tags: +- generated_from_trainer +datasets: +- common_voice_13_0 +metrics: +- wer +- cer +model-index: +- name: my_zh_CN_asr_cv13_model + results: + - task: + name: Automatic Speech Recognition + type: automatic-speech-recognition + dataset: + name: common_voice_13_0 + type: common_voice_13_0 + config: zh-CN + split: train + args: zh-CN + metrics: + - name: Wer + type: wer + value: 0.375 + - name: Cer + type: cer + value: 0.0674 +--- + + + +# my_zh_CN_asr_cv13_model + +This model is a fine-tuned version of [jonatasgrosman/wav2vec2-large-xlsr-53-chinese-zh-cn](https://huggingface.co/jonatasgrosman/wav2vec2-large-xlsr-53-chinese-zh-cn) on the common_voice_13_0 dataset. +It achieves the following results on the evaluation set: +- Loss: 0.1614 +- Cer: 0.0674 +- Wer: 0.375 + +## Model description + +More information needed + +## Intended uses & limitations + +More information needed + +## Training and evaluation data + +More information needed + +## Training procedure + +### Training hyperparameters + +The following hyperparameters were used during training: +- learning_rate: 1e-05 +- train_batch_size: 8 +- eval_batch_size: 8 +- seed: 42 +- gradient_accumulation_steps: 2 +- total_train_batch_size: 16 +- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 +- lr_scheduler_type: linear +- lr_scheduler_warmup_steps: 500 +- training_steps: 2000 +- mixed_precision_training: Native AMP + +### Training results + +| Training Loss | Epoch | Step | Validation Loss | Cer | Wer | +|:-------------:|:-------:|:----:|:---------------:|:------:|:-----:| +| 0.0489 | 249.002 | 1000 | 0.1566 | 0.0638 | 0.375 | +| 0.0224 | 499.002 | 2000 | 0.1614 | 0.0674 | 0.375 | + + +### Framework versions + +- Transformers 4.40.1 +- Pytorch 2.2.1+cu121 +- Datasets 2.19.0 +- Tokenizers 0.19.1 \ No newline at end of file diff --git a/config.json b/config.json new file mode 100644 index 0000000..1a88e9a --- /dev/null +++ b/config.json @@ -0,0 +1,116 @@ +{ + "_name_or_path": "jonatasgrosman/wav2vec2-large-xlsr-53-chinese-zh-cn", + "activation_dropout": 0.05, + "adapter_attn_dim": null, + "adapter_kernel_size": 3, + "adapter_stride": 2, + "add_adapter": false, + "apply_spec_augment": true, + "architectures": [ + "Wav2Vec2ForCTC" + ], + "attention_dropout": 0.1, + "bos_token_id": 1, + "classifier_proj_size": 256, + "codevector_dim": 256, + "contrastive_logits_temperature": 0.1, + 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+ "赚": 2985, + "赛": 2986, + "赞": 2987, + "赟": 2988, + "赠": 2989, + "赢": 2990, + "赤": 2991, + "赫": 2992, + "走": 2993, + "赴": 2994, + "赵": 2995, + "赶": 2996, + "起": 2997, + "超": 2998, + "越": 2999, + "趋": 3000, + "趟": 3001, + "趣": 3002, + "足": 3003, + "趴": 3004, + "趾": 3005, + "跃": 3006, + "跆": 3007, + "跌": 3008, + "跑": 3009, + "跖": 3010, + "跛": 3011, + "距": 3012, + "跟": 3013, + "跤": 3014, + "跨": 3015, + "路": 3016, + "跳": 3017, + "践": 3018, + "踊": 3019, + "踏": 3020, + "踝": 3021, + "踢": 3022, + "踩": 3023, + "蹄": 3024, + "蹈": 3025, + "蹦": 3026, + "躁": 3027, + "身": 3028, + "躲": 3029, + "躺": 3030, + "车": 3031, + "轨": 3032, + "轩": 3033, + "转": 3034, + "轭": 3035, + "轮": 3036, + "软": 3037, + "轰": 3038, + "轴": 3039, + "轻": 3040, + "载": 3041, + "轿": 3042, + "较": 3043, + "辅": 3044, + "辆": 3045, + "辈": 3046, + "辉": 3047, + "辍": 3048, + "辐": 3049, + "辑": 3050, + "输": 3051, + "辕": 3052, + "辖": 3053, + "辗": 3054, + "辙": 3055, + "辛": 3056, + "辜": 3057, + "辞": 3058, + "辟": 3059, + "辣": 3060, + "辩": 3061, + "辰": 3062, + "边": 3063, + "辽": 3064, + "达": 3065, + "迁": 3066, + "迄": 3067, + "迅": 3068, + "过": 3069, + "迈": 3070, + "迎": 3071, + "运": 3072, + "近": 3073, + "返": 3074, + "还": 3075, + "这": 3076, + "进": 3077, + "远": 3078, + "违": 3079, + "连": 3080, + "迟": 3081, + "迦": 3082, + "迪": 3083, + "迫": 3084, + "述": 3085, + "迷": 3086, + "迹": 3087, + "追": 3088, + "退": 3089, + "送": 3090, + "适": 3091, + "逃": 3092, + "逆": 3093, + "选": 3094, + "逊": 3095, + "逍": 3096, + "透": 3097, + "逐": 3098, + "递": 3099, + "途": 3100, + "逗": 3101, + "通": 3102, + "逛": 3103, + "逝": 3104, + "速": 3105, + "造": 3106, + "逢": 3107, + "逮": 3108, + "逸": 3109, + "逻": 3110, + "逼": 3111, + "逾": 3112, + "遂": 3113, + "遇": 3114, + "遍": 3115, + "遑": 3116, + "道": 3117, + "遗": 3118, + "遣": 3119, + "遥": 3120, + "遭": 3121, + "遮": 3122, + "遵": 3123, + "避": 3124, + "邀": 3125, + "邑": 3126, + "邓": 3127, + "邕": 3128, + "邢": 3129, + "那": 3130, + "邦": 3131, + "邨": 3132, + "邪": 3133, + "邮": 3134, + "邯": 3135, + "邰": 3136, + "邱": 3137, + "邵": 3138, 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+ "陵": 3293, + "陶": 3294, + "陷": 3295, + "陽": 3296, + "隅": 3297, + "隆": 3298, + "隋": 3299, + "随": 3300, + "隐": 3301, + "隔": 3302, + "隘": 3303, + "隙": 3304, + "障": 3305, + "隧": 3306, + "隶": 3307, + "难": 3308, + "雀": 3309, + "雁": 3310, + "雄": 3311, + "雅": 3312, + "集": 3313, + "雇": 3314, + "雌": 3315, + "雍": 3316, + "雕": 3317, + "雨": 3318, + "雪": 3319, + "雯": 3320, + "零": 3321, + "雷": 3322, + "雾": 3323, + "需": 3324, + "霄": 3325, + "霆": 3326, + "震": 3327, + "霉": 3328, + "霍": 3329, + "霖": 3330, + "霜": 3331, + "霞": 3332, + "露": 3333, + "霸": 3334, + "青": 3335, + "靓": 3336, + "靖": 3337, + "静": 3338, + "非": 3339, + "靠": 3340, + "面": 3341, + "革": 3342, + "靳": 3343, + "靴": 3344, + "鞅": 3345, + "鞋": 3346, + "鞣": 3347, + "鞭": 3348, + "韦": 3349, + "韩": 3350, + "韬": 3351, + "韭": 3352, + "音": 3353, + "韶": 3354, + "页": 3355, + "顶": 3356, + "项": 3357, + "顺": 3358, + "须": 3359, + "顾": 3360, + "顿": 3361, + "颁": 3362, + "预": 3363, + "颅": 3364, + "领": 3365, + "颇": 3366, + "颌": 3367, + "颐": 3368, + "频": 3369, 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+ "鲸": 3447, + "鲼": 3448, + "鳄": 3449, + "鳅": 3450, + "鳌": 3451, + "鳍": 3452, + "鳐": 3453, + "鳔": 3454, + "鳕": 3455, + "鳖": 3456, + "鳞": 3457, + "鳢": 3458, + "鸟": 3459, + "鸠": 3460, + "鸡": 3461, + "鸢": 3462, + "鸣": 3463, + "鸦": 3464, + "鸭": 3465, + "鸯": 3466, + "鸳": 3467, + "鸽": 3468, + "鹃": 3469, + "鹅": 3470, + "鹏": 3471, + "鹤": 3472, + "鹬": 3473, + "鹰": 3474, + "鹳": 3475, + "鹿": 3476, + "麓": 3477, + "麝": 3478, + "麟": 3479, + "麦": 3480, + "麻": 3481, + "黄": 3482, + "黎": 3483, + "黑": 3484, + "黔": 3485, + "默": 3486, + "黛": 3487, + "黜": 3488, + "鼎": 3489, + "鼓": 3490, + "鼠": 3491, + "鼷": 3492, + "鼻": 3493, + "鼾": 3494, + "齐": 3495, + "齿": 3496, + "龄": 3497, + "龈": 3498, + "龙": 3499, + "龚": 3500, + "龟": 3501, + "－": 3502 +}