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End of training

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Files changed (3) hide show
  1. README.md +16 -12
  2. generation_config.json +10 -26
  3. model.safetensors +1 -1
README.md CHANGED
@@ -3,7 +3,7 @@ library_name: transformers
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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-small
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  tags:
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  - generated_from_trainer
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  datasets:
@@ -11,7 +11,7 @@ datasets:
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  metrics:
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  - wer
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  model-index:
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- - name: Whisper Small id - Zein
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  results:
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  - task:
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  name: Automatic Speech Recognition
@@ -25,18 +25,18 @@ model-index:
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  metrics:
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  - name: Wer
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  type: wer
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- value: 22.841509783919133
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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 id - Zein
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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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- - Loss: 0.4047
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- - Wer: 22.8415
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  ## Model description
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@@ -62,15 +62,19 @@ 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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  - 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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- | 0.0387 | 3.1646 | 1000 | 0.3746 | 23.8060 |
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- | 0.0053 | 6.3291 | 2000 | 0.4047 | 22.8415 |
 
 
 
 
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  ### Framework versions
 
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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-tiny
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  tags:
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  - generated_from_trainer
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  datasets:
 
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  metrics:
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  - wer
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  model-index:
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+ - name: Whisper Tiny id - Zein
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  results:
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  - task:
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  name: Automatic Speech Recognition
 
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  metrics:
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  - name: Wer
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  type: wer
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+ value: 49.15607901326162
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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 id - Zein
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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 11.0 dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.9557
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+ - Wer: 49.1561
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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: 6000
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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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+ | 0.3251 | 3.1646 | 1000 | 0.7617 | 48.4559 |
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+ | 0.1132 | 6.3291 | 2000 | 0.7951 | 47.6630 |
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+ | 0.0414 | 9.4937 | 3000 | 0.8504 | 48.5208 |
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+ | 0.0146 | 12.6582 | 4000 | 0.9079 | 49.3647 |
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+ | 0.0083 | 15.8228 | 5000 | 0.9421 | 48.9057 |
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+ | 0.0064 | 18.9873 | 6000 | 0.9557 | 49.1561 |
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  ### Framework versions
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