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README.md ADDED
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+ ---
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+ library_name: transformers
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+ language:
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+ - mr
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+ base_model: simran14/mr-val-f
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - mozilla-foundation/common_voice_17_0
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+ metrics:
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+ - wer
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+ model-index:
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+ - name: simrank14 Whisper small valG
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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 17.0
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+ type: mozilla-foundation/common_voice_17_0
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+ config: mr
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+ split: test
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+ args: mr
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+ metrics:
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+ - name: Wer
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+ type: wer
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+ value: 0.09443574641516936
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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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+ # simrank14 Whisper small valG
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+
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+ This model is a fine-tuned version of [simran14/mr-val-f](https://huggingface.co/simran14/mr-val-f) on the Common Voice 17.0 dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0009
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+ - Wer: 0.0944
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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: 5e-07
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+ - train_batch_size: 8
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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: 100
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+ - num_epochs: 2
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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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+ | 0.001 | 0.6098 | 1000 | 0.0020 | 0.1814 |
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+ | 0.0006 | 1.2195 | 2000 | 0.0011 | 0.1069 |
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+ | 0.0009 | 1.8293 | 3000 | 0.0009 | 0.0944 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.45.0.dev0
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+ - Pytorch 2.4.0+cu121
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+ - Datasets 2.21.1.dev0
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+ - Tokenizers 0.19.1
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