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README.md
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---
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library_name: transformers
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license: apache-2.0
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base_model: mscs23021/Whisper_small_urdu_t
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tags:
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- generated_from_trainer
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datasets:
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- common_voice_13_0
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metrics:
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- wer
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model-index:
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- name: Whisper_Small_Final
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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: common_voice_13_0
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type: common_voice_13_0
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config: ur
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split: test
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args: ur
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metrics:
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- name: Wer
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type: wer
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value: 110.79826732673268
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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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# Whisper_Small_Final
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This model is a fine-tuned version of [mscs23021/Whisper_small_urdu_t](https://huggingface.co/mscs23021/Whisper_small_urdu_t) on the common_voice_13_0 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5675
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- Wer: 110.7983
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 1e-05
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- train_batch_size: 4
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- eval_batch_size: 4
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- seed: 42
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- gradient_accumulation_steps: 4
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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: 300
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- num_epochs: 3
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- mixed_precision_training: Native AMP
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### Training results
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### Framework versions
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- Transformers 4.51.3
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- Pytorch 2.6.0+cu124
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- Datasets 3.5.0
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- Tokenizers 0.21.1
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generation_config.json
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{
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"_from_model_config": true,
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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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{
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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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runs/Apr20_20-49-27_3dffe2a89c7c/events.out.tfevents.1745187353.3dffe2a89c7c.841.5
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version https://git-lfs.github.com/spec/v1
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oid sha256:69daf42944a45aa579396760f6343a7fe7f56ac1b928a735a5d49395d1a3f9fd
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size 406
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