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End of training

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  1. README.md +6 -4
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -6,17 +6,19 @@ license: apache-2.0
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  base_model: openai/whisper-tiny
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  tags:
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  - generated_from_trainer
 
 
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  model-index:
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- - name: Whisper Tiny finetuned RU
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  results: []
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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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- # Whisper Tiny finetuned RU
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- This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the None dataset.
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  ## Model description
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@@ -42,7 +44,7 @@ The following hyperparameters were used during training:
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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: 250
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- - training_steps: 12000
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  - mixed_precision_training: Native AMP
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  ### Training results
 
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  base_model: openai/whisper-tiny
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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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  model-index:
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+ - name: whisper-tiny-finetuned-ru
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  results: []
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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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+ # whisper-tiny-finetuned-ru
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+ This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Common Voice 17.0 dataset.
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  ## Model description
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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: 250
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+ - training_steps: 20000
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  - mixed_precision_training: Native AMP
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  ### Training results
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