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End of training

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  1. README.md +10 -33
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
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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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  datasets:
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- - audiofolder
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- metrics:
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- - wer
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  model-index:
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- - name: whisper-small-ft_custom
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- results:
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- - task:
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- name: Automatic Speech Recognition
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- type: automatic-speech-recognition
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- dataset:
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- name: audiofolder
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- type: audiofolder
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- config: default
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- split: None
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- args: default
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- metrics:
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- - name: Wer
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- type: wer
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- value: 80.0
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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-ft_custom
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- This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the audiofolder dataset.
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- It achieves the following results on the evaluation set:
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- - Loss: 1.9637
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- - Wer: 80.0
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  ## Model description
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@@ -53,8 +38,8 @@ More information needed
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  The following hyperparameters were used during training:
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  - learning_rate: 1e-06
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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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  - 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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- | 0.7875 | 35.71 | 500 | 2.2491 | 514.0 |
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- | 0.0077 | 71.43 | 1000 | 1.9637 | 80.0 |
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-
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-
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  ### Framework versions
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  - Transformers 4.37.2
 
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  ---
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+ language:
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+ - ar
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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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+ - ar-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 Ar - AxAI
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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 Ar - AxAI
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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 16.0 dataset.
 
 
 
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 1e-06
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+ - train_batch_size: 32
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+ - eval_batch_size: 16
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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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  - training_steps: 1000
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  - mixed_precision_training: Native AMP
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  ### Framework versions
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  - Transformers 4.37.2
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