End of training
Browse files- README.md +4 -44
- config.json +2 -2
- generation_config.json +1 -1
- training_args.bin +2 -2
README.md
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- generated_from_trainer
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datasets:
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- AsemBadr/GP
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metrics:
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- wer
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model-index:
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- name: Whisper Small for Quran Recognition
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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: Quran_Reciters
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type: AsemBadr/GP
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config: default
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split: test
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args: 'config: default, split: train'
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metrics:
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- name: Wer
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type: wer
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value: 3.163142513323019
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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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# Whisper Small for Quran Recognition
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Quran_Reciters dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0192
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- Wer: 3.1631
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## Model description
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 500
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- training_steps:
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Wer |
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| 0.0073 | 1.62 | 500 | 0.0249 | 5.0026 |
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| 0.0014 | 3.24 | 1000 | 0.0214 | 4.1086 |
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| 0.0008 | 4.85 | 1500 | 0.0221 | 3.9883 |
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| 0.0 | 6.47 | 2000 | 0.0180 | 2.9740 |
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| 0.0 | 8.09 | 2500 | 0.0177 | 3.0944 |
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| 0.0 | 9.71 | 3000 | 0.0178 | 3.0944 |
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| 0.0 | 11.33 | 3500 | 0.0179 | 3.1288 |
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| 0.0 | 12.94 | 4000 | 0.0179 | 3.1288 |
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| 0.0 | 14.56 | 4500 | 0.0181 | 2.8881 |
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| 0.0 | 16.18 | 5000 | 0.0184 | 2.9225 |
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| 0.0 | 17.8 | 5500 | 0.0186 | 3.0256 |
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| 0.0 | 19.42 | 6000 | 0.0188 | 3.1803 |
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| 0.0 | 21.04 | 6500 | 0.0190 | 3.1631 |
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| 0.0 | 22.65 | 7000 | 0.0191 | 3.1631 |
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| 0.0 | 24.27 | 7500 | 0.0192 | 3.1803 |
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| 0.0 | 25.89 | 8000 | 0.0192 | 3.1631 |
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### Framework versions
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- Transformers 4.
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- Pytorch 2.1.2
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- Datasets 2.17.1
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- Tokenizers 0.
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- generated_from_trainer
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datasets:
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- AsemBadr/GP
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model-index:
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- name: Whisper Small for Quran Recognition
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results: []
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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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# Whisper Small for Quran Recognition
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Quran_Reciters dataset.
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## Model description
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 500
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- training_steps: 12000
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- mixed_precision_training: Native AMP
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### Framework versions
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- Transformers 4.41.0.dev0
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- Pytorch 2.1.2
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- Datasets 2.17.1
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- Tokenizers 0.19.1
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config.json
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{
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"_name_or_path": "/
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"activation_dropout": 0.0,
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"activation_function": "gelu",
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"apply_spec_augment": false,
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"scale_embedding": false,
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"suppress_tokens": [],
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"torch_dtype": "float32",
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"transformers_version": "4.
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"use_cache": true,
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"use_weighted_layer_sum": false,
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"vocab_size": 51865
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{
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"_name_or_path": "AsemBadr/whisper-small-final-v2",
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"activation_dropout": 0.0,
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"activation_function": "gelu",
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"apply_spec_augment": false,
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"scale_embedding": false,
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"suppress_tokens": [],
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"torch_dtype": "float32",
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"transformers_version": "4.41.0.dev0",
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"use_cache": true,
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"use_weighted_layer_sum": false,
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"vocab_size": 51865
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generation_config.json
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"transcribe": 50359,
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"translate": 50358
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},
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"transformers_version": "4.
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}
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"transcribe": 50359,
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"translate": 50358
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},
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"transformers_version": "4.41.0.dev0"
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}
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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size 5176
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