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---
language:
- fa
license: apache-2.0
base_model: makhataei/Whisper-Small-Common-Voice
tags:
- fa-asr
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_16_0
metrics:
- wer
model-index:
- name: Whisper Small Persian
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Whisper Small Persian
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.
It achieves the following results on the evaluation set:
- Loss: 0.7543
- Wer: 46.0283
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 10
- eval_batch_size: 10
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 40
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- training_steps: 2000
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.0137 | 0.16 | 100 | 0.7336 | 48.8685 |
| 0.0153 | 0.31 | 200 | 0.7163 | 45.0962 |
| 0.016 | 0.47 | 300 | 0.7235 | 45.9726 |
| 0.0133 | 0.62 | 400 | 0.7356 | 45.7130 |
| 0.0186 | 0.78 | 500 | 0.6912 | 44.0760 |
| 0.012 | 0.93 | 600 | 0.6939 | 44.9664 |
| 0.0092 | 1.09 | 700 | 0.7184 | 44.8180 |
| 0.0071 | 1.25 | 800 | 0.7321 | 44.0691 |
| 0.0072 | 1.4 | 900 | 0.7485 | 46.3714 |
| 0.0061 | 1.56 | 1000 | 0.7180 | 44.9502 |
| 0.0063 | 1.71 | 1100 | 0.7036 | 46.2741 |
| 0.004 | 1.87 | 1200 | 0.7296 | 45.0684 |
| 0.0036 | 2.03 | 1300 | 0.7275 | 46.3158 |
| 0.002 | 2.18 | 1400 | 0.7432 | 45.9332 |
| 0.0014 | 2.34 | 1500 | 0.7472 | 45.5692 |
| 0.0012 | 2.49 | 1600 | 0.7408 | 44.7902 |
| 0.0201 | 2.65 | 1700 | 0.7566 | 45.7593 |
| 0.0011 | 2.8 | 1800 | 0.7551 | 45.3327 |
| 0.0011 | 2.96 | 1900 | 0.7550 | 46.1720 |
| 0.0004 | 3.12 | 2000 | 0.7543 | 46.0283 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.0.1+cu117
- Datasets 2.15.0
- Tokenizers 0.15.0
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