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End of training

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  1. README.md +19 -17
  2. model.safetensors +1 -1
README.md CHANGED
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  ---
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- language:
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- - hy
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  license: apache-2.0
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  base_model: openai/whisper-small
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  tags:
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- - hf-asr-leaderboard
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  - generated_from_trainer
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- datasets:
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- - mozilla-foundation/common_voice_11_0
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  model-index:
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- - name: Whisper Small Hy - Edmon Sahakyan
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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 Small Hy - Edmon Sahakyan
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- This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset.
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  It achieves the following results on the evaluation set:
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- - eval_loss: 0.5855
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- - eval_wer: 64.4168
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- - eval_runtime: 319.197
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- - eval_samples_per_second: 1.244
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- - eval_steps_per_second: 0.157
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- - epoch: 16.39
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- - step: 1000
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  ## Model description
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@@ -51,10 +43,20 @@ The following hyperparameters were used during training:
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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: 500
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- - training_steps: 4000
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  - mixed_precision_training: Native AMP
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  ### Framework versions
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  - Transformers 4.36.2
 
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  ---
 
 
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  license: apache-2.0
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  base_model: openai/whisper-small
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  tags:
 
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  - generated_from_trainer
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+ metrics:
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+ - wer
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  model-index:
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+ - name: whisper-small-hy
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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-small-hy
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+ This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5691
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+ - Wer: 74.7706
 
 
 
 
 
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  ## Model description
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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: 125
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+ - training_steps: 1000
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  - mixed_precision_training: Native AMP
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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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+ | 0.1258 | 4.1 | 250 | 0.3914 | 76.0813 |
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+ | 0.0064 | 8.2 | 500 | 0.4882 | 74.5740 |
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+ | 0.0008 | 12.3 | 750 | 0.5486 | 74.2464 |
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+ | 0.0007 | 16.39 | 1000 | 0.5691 | 74.7706 |
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+
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+
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  ### Framework versions
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  - Transformers 4.36.2
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