End of training
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- training_args.bin +1 -1
README.md
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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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metrics:
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- wer
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model-index:
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- name:
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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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#
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the
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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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The following hyperparameters were used during training:
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- learning_rate: 1e-06
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- train_batch_size:
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- eval_batch_size:
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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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| 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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### 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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model.safetensors
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training_args.bin
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