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Training Ended

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  1. README.md +12 -14
  2. model.safetensors +1 -1
README.md CHANGED
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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:
@@ -11,20 +11,18 @@ 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/knefkhwm)
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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 [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - eval_loss: 0.4330
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- - eval_wer: 0.4365
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- - eval_runtime: 17.7343
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- - eval_samples_per_second: 15.845
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- - eval_steps_per_second: 7.951
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- - epoch: 86.6297
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- - step: 54750
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  ## Model description
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@@ -50,9 +48,9 @@ The following hyperparameters were used during training:
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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: linear
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  - lr_scheduler_warmup_steps: 500
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- - num_epochs: 100
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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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