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--- |
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language: |
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- fa |
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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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- whisper-event |
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- generated_from_trainer |
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datasets: |
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- mozilla-foundation/common_voice_16_0 |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper Small Persian Iranian |
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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: mozilla-foundation/common_voice_16_0 fa |
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type: mozilla-foundation/common_voice_16_0 |
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config: fa |
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split: test |
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args: fa |
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metrics: |
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- name: Wer |
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type: wer |
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value: 39.72011741415796 |
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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 Persian Iranian |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the mozilla-foundation/common_voice_16_0 fa dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4858 |
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- Wer: 39.7201 |
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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: 1e-06 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 64 |
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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: 50 |
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- training_steps: 5000 |
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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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| 0.4531 | 1.03 | 500 | 0.6448 | 50.7393 | |
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| 0.4031 | 3.0 | 1000 | 0.5755 | 46.5001 | |
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| 0.2745 | 4.04 | 1500 | 0.5389 | 43.7190 | |
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| 0.336 | 6.0 | 2000 | 0.5166 | 42.4056 | |
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| 0.2429 | 7.04 | 2500 | 0.5045 | 41.1810 | |
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| 0.2852 | 9.01 | 3000 | 0.4941 | 40.6444 | |
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| 0.2217 | 10.04 | 3500 | 0.4888 | 40.1106 | |
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| 0.2384 | 12.01 | 4000 | 0.4873 | 39.9208 | |
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| 0.1889 | 13.04 | 4500 | 0.4858 | 39.7201 | |
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| 0.2202 | 15.01 | 5000 | 0.4888 | 39.7228 | |
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### Framework versions |
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- Transformers 4.38.0.dev0 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.16.2.dev0 |
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- Tokenizers 0.15.0 |
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