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Hiro-nguyen
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whisper-small-hi

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
English
whisper
hf-asr-leaderboard
Generated from Trainer
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  1. README.md +16 -9
  2. model.safetensors +1 -1
  3. runs/Jan26_11-19-47_YanYue-MS-7C06/events.out.tfevents.1706239193.YanYue-MS-7C06 +3 -0
  4. runs/Jan26_11-21-43_YanYue-MS-7C06/events.out.tfevents.1706239308.YanYue-MS-7C06 +3 -0
  5. training_args.bin +1 -1
README.md CHANGED
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  ---
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- language:
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- - hi
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  license: apache-2.0
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  base_model: openai/whisper-base
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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 Hi - Sanchit Gandhi
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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 Hi - Sanchit Gandhi
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- This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the Common Voice 11.0 dataset.
 
 
 
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  ## Model description
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@@ -46,7 +46,14 @@ 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: 500
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- - training_steps: 2000
 
 
 
 
 
 
 
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  ### Framework versions
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  ---
 
 
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  license: apache-2.0
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  base_model: openai/whisper-base
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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-hi
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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-hi
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+ This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0000
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+ - Wer: 0.0
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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: 500
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+ - training_steps: 1000
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+
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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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+ | 0.0 | 1000.0 | 1000 | 0.0000 | 0.0 |
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+
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  ### Framework versions
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