Training Ended
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README.md
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---
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base_model: facebook/wav2vec2-large-xlsr-53
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license: apache-2.0
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tags:
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- generated_from_trainer
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model-index:
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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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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/prashant-bista-18-thapathali-campus/Nepali%20ASR/runs/
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/prashant-bista-18-thapathali-campus/Nepali%20ASR/runs/14w7oydf)
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/prashant-bista-18-thapathali-campus/Nepali%20ASR/runs/14w7oydf)
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# wav2vec2-nepali-asr
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This model is a fine-tuned version of [
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It achieves the following results on the evaluation set:
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- eval_loss: 0.
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- eval_wer: 0.
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- eval_runtime:
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- eval_samples_per_second:
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- eval_steps_per_second:
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- epoch:
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- step:
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## Model description
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 4
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type:
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- lr_scheduler_warmup_steps: 500
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- num_epochs:
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- mixed_precision_training: Native AMP
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### Framework versions
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---
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license: apache-2.0
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base_model: Strange18/wav2vec2-nepali-asr
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tags:
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- generated_from_trainer
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model-index:
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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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+
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/prashant-bista-18-thapathali-campus/Nepali%20ASR/runs/ej7qix66)
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# wav2vec2-nepali-asr
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This model is a fine-tuned version of [Strange18/wav2vec2-nepali-asr](https://huggingface.co/Strange18/wav2vec2-nepali-asr) on the None dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 0.1747
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- eval_wer: 0.1923
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- eval_runtime: 16.6362
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- eval_samples_per_second: 16.891
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- eval_steps_per_second: 8.475
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- epoch: 17.0095
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- step: 10750
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## Model description
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 4
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: reduce_lr_on_plateau
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- lr_scheduler_warmup_steps: 500
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- num_epochs: 30
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- mixed_precision_training: Native AMP
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### Framework versions
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model.safetensors
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