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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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Hiro-nguyen commited on
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End of training

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Files changed (10) hide show
  1. README.md +11 -14
  2. model.safetensors +1 -1
  3. runs/Feb01_00-03-40_YanYue-MS-7C06/events.out.tfevents.1706717032.YanYue-MS-7C06 +3 -0
  4. runs/Feb01_00-11-07_YanYue-MS-7C06/events.out.tfevents.1706717474.YanYue-MS-7C06 +3 -0
  5. runs/Feb01_00-11-54_YanYue-MS-7C06/events.out.tfevents.1706717520.YanYue-MS-7C06 +3 -0
  6. runs/Feb01_00-12-40_YanYue-MS-7C06/events.out.tfevents.1706717563.YanYue-MS-7C06 +3 -0
  7. runs/Feb01_00-13-03_YanYue-MS-7C06/events.out.tfevents.1706717588.YanYue-MS-7C06 +3 -0
  8. runs/Feb01_00-14-44_YanYue-MS-7C06/events.out.tfevents.1706717689.YanYue-MS-7C06 +3 -0
  9. runs/Feb01_00-15-20_YanYue-MS-7C06/events.out.tfevents.1706717724.YanYue-MS-7C06 +3 -0
  10. training_args.bin +1 -1
README.md CHANGED
@@ -1,27 +1,24 @@
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  ---
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- language:
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- - en
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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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  metrics:
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  - wer
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  model-index:
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- - name: Whisper Base EN
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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 Base EN
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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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  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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@@ -41,21 +38,21 @@ More information needed
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  The following hyperparameters were used during training:
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  - learning_rate: 1e-05
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- - train_batch_size: 8
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  - eval_batch_size: 8
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  - seed: 42
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- - gradient_accumulation_steps: 2
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- - total_train_batch_size: 16
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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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  ### Training results
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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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  ### 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: 19.8758
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 1e-05
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+ - train_batch_size: 16
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  - eval_batch_size: 8
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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: 2000
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+ - mixed_precision_training: Native AMP
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Wer |
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+ |:-------------:|:------:|:----:|:---------------:|:-------:|
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+ | 0.0 | 500.0 | 1000 | 0.0000 | 12.4224 |
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+ | 0.0 | 1000.0 | 2000 | 0.0000 | 19.8758 |
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  ### Framework versions
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