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  1. README.md +69 -0
  2. generation_config.json +29 -0
README.md ADDED
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+ ---
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+ language:
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+ - hi
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+ license: apache-2.0
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+ base_model: CKSINGH/whisper-small-hi-graminVoice
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+ tags:
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+ - hf-asr-leaderboard
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+ - generated_from_trainer
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+ metrics:
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+ - wer
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+ model-index:
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+ - name: Whisper small Hi - CKS 2511 finalbatch
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+ results: []
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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 small Hi - CKS 2511 finalbatch
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+
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+ This model is a fine-tuned version of [CKSINGH/whisper-small-hi-graminVoice](https://huggingface.co/CKSINGH/whisper-small-hi-graminVoice) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.5777
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+ - Wer: 33.1148
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+ - Cer: 14.1232
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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: 1.75e-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: 500
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+ - training_steps: 2000
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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 | Cer |
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+ |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
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+ | 0.1067 | 6.94 | 500 | 0.4508 | 36.7213 | 17.2021 |
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+ | 0.0083 | 13.89 | 1000 | 0.5445 | 35.4098 | 15.9973 |
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+ | 0.001 | 20.83 | 1500 | 0.5720 | 34.7541 | 14.9264 |
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+ | 0.0001 | 27.78 | 2000 | 0.5777 | 33.1148 | 14.1232 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.36.0.dev0
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+ - Pytorch 2.1.0+cu118
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+ - Datasets 2.15.0
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+ - Tokenizers 0.15.0
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