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DereAbdulhameed
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whisper-small-llm-lingo

PEFT
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Safetensors
Yoruba
hf-asr-leaderboard
Generated from Trainer
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  1. README.md +83 -0
  2. adapter_config.json +32 -0
  3. adapter_model.safetensors +3 -0
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README.md ADDED
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+ ---
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+ language:
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+ - yo
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+ license: apache-2.0
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+ library_name: peft
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+ tags:
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+ - hf-asr-leaderboard
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+ - generated_from_trainer
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+ datasets:
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+ - mozilla-foundation/common_voice_16_1
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+ metrics:
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+ - wer
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+ base_model: steja/whisper-small-yoruba
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+ model-index:
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+ - name: Whisper Yoruba- Abdulhameed Dere
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+ results:
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+ - task:
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+ type: automatic-speech-recognition
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+ name: Automatic Speech Recognition
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+ dataset:
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+ name: common_voice_16_1
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+ type: mozilla-foundation/common_voice_16_1
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+ config: yo_ng
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+ split: test
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+ args: 'config: yor, split: test'
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+ metrics:
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+ - type: wer
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+ value: 60.10434782608696
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+ name: Wer
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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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+ # Whisper Yoruba- Abdulhameed Dere
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+
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+ This model is a fine-tuned version of [DereAbdulhameed/whisper-distill_large_v2_Yoruba](https://huggingface.co/DereAbdulhameed/whisper-distill_large_v2_Yoruba) on the common_voice_16_1 dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.8089
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+ - Wer: 60.1043
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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: 0.001
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+ - train_batch_size: 3
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+ - eval_batch_size: 1
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+ - seed: 42
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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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+ - num_epochs: 3
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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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+ | 0.7515 | 1.0 | 906 | 0.8561 | 66.0174 |
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+ | 0.4839 | 2.0 | 1812 | 0.8116 | 62.8323 |
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+ | 0.1205 | 3.0 | 2718 | 0.8089 | 60.1043 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.9.1.dev0
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+ - Transformers 4.39.0.dev0
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+ - Pytorch 2.2.1+cu121
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+ - Datasets 2.18.0
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+ - Tokenizers 0.15.2
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+ },
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+ "base_model_name_or_path": "steja/whisper-small-yoruba",
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+ "bias": "none",
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