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--- |
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license: apache-2.0 |
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library_name: peft |
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tags: |
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- generated_from_trainer |
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datasets: |
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- common_voice_13_0 |
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base_model: openai/whisper-tiny |
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model-index: |
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- name: arabic_speech_ASR_Whisper |
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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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# arabic_speech_ASR_Whisper |
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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_13_0 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6028 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.001 |
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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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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.7473 | 1.0 | 300 | 0.6873 | |
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| 0.5487 | 2.0 | 600 | 0.6098 | |
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| 0.4391 | 3.0 | 900 | 0.5909 | |
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| 0.3461 | 4.0 | 1200 | 0.5766 | |
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| 0.3315 | 5.0 | 1500 | 0.5552 | |
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| 0.2339 | 6.0 | 1800 | 0.5694 | |
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| 0.1609 | 7.0 | 2100 | 0.5699 | |
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| 0.1236 | 8.0 | 2400 | 0.5879 | |
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| 0.0898 | 9.0 | 2700 | 0.5915 | |
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| 0.0607 | 10.0 | 3000 | 0.6028 | |
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### Framework versions |
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- PEFT 0.9.0 |
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- Transformers 4.38.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
