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language: |
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- fa |
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license: apache-2.0 |
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base_model: makhataei/Whisper-Small-Common-Voice |
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tags: |
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- fa-asr |
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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 |
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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 Persian |
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This model is a fine-tuned version of [makhataei/Whisper-Small-Common-Voice](https://huggingface.co/makhataei/Whisper-Small-Common-Voice) on the Common Voice 16.0 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7543 |
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- Wer: 46.0283 |
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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-05 |
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- train_batch_size: 10 |
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- eval_batch_size: 10 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 40 |
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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: 2000 |
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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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| 0.0137 | 0.16 | 100 | 0.7336 | 48.8685 | |
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| 0.0153 | 0.31 | 200 | 0.7163 | 45.0962 | |
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| 0.016 | 0.47 | 300 | 0.7235 | 45.9726 | |
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| 0.0133 | 0.62 | 400 | 0.7356 | 45.7130 | |
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| 0.0186 | 0.78 | 500 | 0.6912 | 44.0760 | |
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| 0.012 | 0.93 | 600 | 0.6939 | 44.9664 | |
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| 0.0092 | 1.09 | 700 | 0.7184 | 44.8180 | |
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| 0.0071 | 1.25 | 800 | 0.7321 | 44.0691 | |
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| 0.0072 | 1.4 | 900 | 0.7485 | 46.3714 | |
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| 0.0061 | 1.56 | 1000 | 0.7180 | 44.9502 | |
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| 0.0063 | 1.71 | 1100 | 0.7036 | 46.2741 | |
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| 0.004 | 1.87 | 1200 | 0.7296 | 45.0684 | |
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| 0.0036 | 2.03 | 1300 | 0.7275 | 46.3158 | |
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| 0.002 | 2.18 | 1400 | 0.7432 | 45.9332 | |
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| 0.0014 | 2.34 | 1500 | 0.7472 | 45.5692 | |
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| 0.0012 | 2.49 | 1600 | 0.7408 | 44.7902 | |
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| 0.0201 | 2.65 | 1700 | 0.7566 | 45.7593 | |
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| 0.0011 | 2.8 | 1800 | 0.7551 | 45.3327 | |
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| 0.0011 | 2.96 | 1900 | 0.7550 | 46.1720 | |
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| 0.0004 | 3.12 | 2000 | 0.7543 | 46.0283 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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