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--- |
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language: |
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- fa |
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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_17_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 17.0 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7217 |
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- Wer: 45.6220 |
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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-07 |
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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: 1000 |
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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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| 0.0013 | 0.15 | 100 | 0.7201 | 45.7700 | |
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| 0.0015 | 0.31 | 200 | 0.7220 | 45.7908 | |
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| 0.0019 | 0.46 | 300 | 0.7212 | 45.6382 | |
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| 0.0021 | 0.61 | 400 | 0.7229 | 45.7630 | |
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| 0.0025 | 0.77 | 500 | 0.7226 | 45.5943 | |
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| 0.0068 | 0.92 | 600 | 0.7229 | 46.1213 | |
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| 0.0293 | 1.07 | 700 | 0.7215 | 45.7075 | |
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| 0.0021 | 1.23 | 800 | 0.7215 | 45.6290 | |
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| 0.0025 | 1.38 | 900 | 0.7217 | 45.6151 | |
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| 0.0023 | 1.53 | 1000 | 0.7217 | 45.6220 | |
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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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