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ThangaTharun
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finetunedtiny

Automatic Speech Recognition
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English
whisper
hf-asr-leaderboard
Generated from Trainer
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  1. README.md +89 -0
  2. generation_config.json +148 -0
  3. model.safetensors +1 -1
  4. runs/Jan17_07-03-40_8bfa918fa499/events.out.tfevents.1705475185.8bfa918fa499.746.0 +2 -2
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+ ---
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+ language:
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+ - en
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+ license: apache-2.0
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+ base_model: openai/whisper-tiny.en
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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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+ - vision
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+ - Finetunedtiny
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+ metrics:
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+ - wer
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+ model-index:
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+ - name: ThangaTharun/Bharishkafinetuned
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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: ThangaTharun/Barishka
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+ type: vision
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+ metrics:
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+ - name: Wer
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+ type: wer
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+ value: 0.0
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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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+ # ThangaTharun/Bharishkafinetuned
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+
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+ This model is a fine-tuned version of [openai/whisper-tiny.en](https://huggingface.co/openai/whisper-tiny.en) on the ThangaTharun/Barishka dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.6092
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+ - Wer: 0.0
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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: 1e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 8
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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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+ - lr_scheduler_warmup_steps: 1
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+ - training_steps: 60
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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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+ | 6.0126 | 1.67 | 5 | 5.7191 | 27.2727 |
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+ | 4.5556 | 3.33 | 10 | 4.0076 | 18.1818 |
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+ | 3.385 | 5.0 | 15 | 3.0201 | 22.7273 |
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+ | 2.7403 | 6.67 | 20 | 2.2411 | 18.1818 |
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+ | 1.9444 | 8.33 | 25 | 2.0404 | 4.5455 |
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+ | 1.9864 | 10.0 | 30 | 1.9273 | 4.5455 |
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+ | 2.3372 | 11.67 | 35 | 1.8292 | 0.0 |
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+ | 1.5928 | 13.33 | 40 | 1.7561 | 0.0 |
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+ | 1.8158 | 15.0 | 45 | 1.6984 | 0.0 |
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+ | 1.7321 | 16.67 | 50 | 1.6561 | 0.0 |
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+ | 1.7266 | 18.33 | 55 | 1.6268 | 0.0 |
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+ | 1.6997 | 20.0 | 60 | 1.6092 | 0.0 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.36.2
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+ - Pytorch 2.1.0+cu121
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+ - Datasets 2.16.1
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+ - Tokenizers 0.15.0
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