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End of training

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  1. README.md +84 -0
  2. generation_config.json +127 -0
README.md ADDED
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+ ---
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+ library_name: transformers
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+ language:
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+ - ar
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+ license: apache-2.0
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+ base_model: tarteel-ai/whisper-tiny-ar-quran
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - numan98/synth-incorrect-verses
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+ metrics:
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+ - wer
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+ model-index:
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+ - name: Nextayah Tiny Whisper Finetuned
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+ results:
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+ - task:
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+ name: Automatic Speech Recognition
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+ type: automatic-speech-recognition
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+ dataset:
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+ name: Synthetic Incorrect Verses
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+ type: numan98/synth-incorrect-verses
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+ config: default
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+ split: None
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+ args: 'split: test'
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+ metrics:
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+ - name: Wer
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+ type: wer
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+ value: 22.098421541318476
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # Nextayah Tiny Whisper Finetuned
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+
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+ This model is a fine-tuned version of [tarteel-ai/whisper-tiny-ar-quran](https://huggingface.co/tarteel-ai/whisper-tiny-ar-quran) on the Synthetic Incorrect Verses dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.1079
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+ - Wer: 22.0984
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 5e-06
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+ - train_batch_size: 8
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 16
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+ - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_steps: 500
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+ - training_steps: 1500
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Wer |
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+ |:-------------:|:-------:|:----:|:---------------:|:-------:|
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+ | 0.0666 | 8.7788 | 500 | 0.1351 | 27.3909 |
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+ | 0.0073 | 17.5487 | 1000 | 0.1090 | 23.3983 |
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+ | 0.0029 | 26.3186 | 1500 | 0.1079 | 22.0984 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.48.0
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+ - Pytorch 2.5.1+cu121
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+ - Datasets 3.2.0
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+ - Tokenizers 0.21.0
generation_config.json ADDED
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+ {
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+ "begin_suppress_tokens": [
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+ 220,
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+ 50257
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+ ],
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+ "bos_token_id": 50257,
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+ "decoder_start_token_id": 50258,
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+ "eos_token_id": 50257,
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+ "lang_to_id": {
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+ "afrikaans": 68,
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+ "albanian": 58,
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+ "amharic": 75,
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+ "arabic": 13,
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+ "armenian": 53,
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+ "assamese": 91,
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+ "azerbaijani": 45,
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+ "bashkir": 96,
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+ "basque": 51,
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+ "belarusian": 71,
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+ "bengali": 43,
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+ "bosnian": 56,
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+ "breton": 50,
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+ "bulgarian": 33,
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+ "burmese": 100,
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+ "cantonese": 99,
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+ "castilian": 110,
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+ "catalan": 11,
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+ "chinese": 1,
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+ "croatian": 32,
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+ "czech": 24,
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+ "danish": 26,
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+ "dutch": 12,
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+ "english": 0,
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+ "estonian": 48,
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+ "faroese": 79,
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+ "finnish": 18,
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+ "flemish": 102,
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+ "french": 6,
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+ "galician": 60,
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+ "georgian": 70,
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+ "german": 2,
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+ "greek": 22,
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+ "gujarati": 74,
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+ "haitian": 103,
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+ "haitian creole": 80,
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+ "hausa": 95,
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+ "hawaiian": 93,
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+ "hebrew": 20,
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+ "hindi": 17,
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+ "hungarian": 27,
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+ "icelandic": 52,
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+ "indonesian": 16,
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+ "italian": 15,
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+ "japanese": 7,
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+ "javanese": 97,
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+ "kannada": 47,
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+ "kazakh": 57,
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+ "khmer": 64,
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+ "korean": 5,
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+ "lao": 77,
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+ "latin": 35,
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+ "latvian": 42,
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+ "letzeburgesch": 104,
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+ "lingala": 94,
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+ "lithuanian": 34,
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+ "luxembourgish": 86,
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+ "macedonian": 49,
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+ "malagasy": 90,
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+ "malay": 23,
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+ "malayalam": 37,
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+ "maltese": 84,
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+ "mandarin": 111,
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+ "maori": 36,
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+ "marathi": 61,
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+ "moldavian": 107,
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+ "moldovan": 108,
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+ "mongolian": 55,
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+ "myanmar": 87,
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+ "nepali": 54,
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+ "norwegian": 29,
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+ "nynorsk": 83,
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+ "occitan": 69,
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+ "panjabi": 106,
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+ "pashto": 81,
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+ "persian": 41,
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+ "polish": 10,
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+ "portuguese": 8,
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+ "punjabi": 62,
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+ "pushto": 105,
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+ "romanian": 25,
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+ "russian": 4,
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+ "sanskrit": 85,
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+ "serbian": 44,
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+ "shona": 65,
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+ "sindhi": 73,
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+ "sinhala": 63,
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+ "sinhalese": 109,
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+ "slovak": 39,
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+ "slovenian": 46,
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+ "somali": 67,
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+ "spanish": 3,
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+ "sundanese": 98,
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+ "swahili": 59,
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+ "swedish": 14,
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+ "tagalog": 89,
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+ "tajik": 72,
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+ "tamil": 28,
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+ "tatar": 92,
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+ "telugu": 40,
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+ "thai": 30,
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+ "tibetan": 88,
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+ "turkish": 9,
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+ "turkmen": 82,
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+ "ukrainian": 21,
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+ "urdu": 31,
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+ "uzbek": 78,
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+ "valencian": 101,
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+ "vietnamese": 19,
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+ "welsh": 38,
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+ "yiddish": 76,
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+ "yoruba": 66
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+ },
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+ "max_length": 448,
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+ "pad_token_id": 50257,
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+ "transformers_version": "4.48.0",
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+ "use_cache": false
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+ }