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Automatic Speech Recognition
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Safetensors
wav2vec2
Generated from Trainer
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  2. adapter.hy.safetensors +3 -0
  3. config.json +108 -0
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README.md ADDED
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+ ---
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+ license: cc-by-nc-4.0
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+ base_model: facebook/mms-1b-all
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - common_voice_16_0
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+ model-index:
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+ - name: runs
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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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+ # runs
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+
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+ This model is a fine-tuned version of [facebook/mms-1b-all](https://huggingface.co/facebook/mms-1b-all) on the common_voice_16_0 dataset.
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+ It achieves the following results on the evaluation set:
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+ - eval_loss: 0.1684
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+ - eval_wer: 0.2476
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+ - eval_cer: 0.0432
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+ - eval_runtime: 449.8069
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+ - eval_samples_per_second: 5.985
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+ - eval_steps_per_second: 0.749
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+ - epoch: 10.26
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+ - step: 3000
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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-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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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 32
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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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+ - num_epochs: 20
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+
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+ ### Framework versions
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+
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+ - Transformers 4.37.2
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+ - Pytorch 2.1.1+cu121
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+ - Datasets 2.17.0
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+ - Tokenizers 0.15.2
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