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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: 0.7215
- Wer: 43.6054
## 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-07
- 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: 3000
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.0006 | 0.16 | 100 | 0.7099 | 42.5759 |
| 0.0016 | 0.31 | 200 | 0.7139 | 42.6710 |
| 0.0051 | 0.47 | 300 | 0.7114 | 42.6803 |
| 0.004 | 0.62 | 400 | 0.7109 | 42.6130 |
| 0.0047 | 0.78 | 500 | 0.7101 | 42.3139 |
| 0.0029 | 0.93 | 600 | 0.7105 | 42.4113 |
| 0.0016 | 1.09 | 700 | 0.7101 | 42.4067 |
| 0.0016 | 1.25 | 800 | 0.7129 | 42.3997 |
| 0.0028 | 1.4 | 900 | 0.7145 | 42.3951 |
| 0.0019 | 1.56 | 1000 | 0.7135 | 42.3557 |
| 0.0019 | 1.71 | 1100 | 0.7132 | 42.3534 |
| 0.0021 | 1.87 | 1200 | 0.7128 | 42.4739 |
| 0.0023 | 2.03 | 1300 | 0.7144 | 42.9330 |
| 0.0021 | 2.18 | 1400 | 0.7151 | 42.8403 |
| 0.0019 | 2.34 | 1500 | 0.7158 | 42.8820 |
| 0.0014 | 2.49 | 1600 | 0.7166 | 42.9121 |
| 0.0262 | 2.65 | 1700 | 0.7171 | 42.9933 |
| 0.0022 | 2.8 | 1800 | 0.7183 | 42.9608 |
| 0.0012 | 2.96 | 1900 | 0.7185 | 43.3921 |
| 0.0018 | 3.12 | 2000 | 0.7187 | 43.3295 |
| 0.0015 | 3.27 | 2100 | 0.7191 | 43.3480 |
| 0.0013 | 3.43 | 2200 | 0.7198 | 43.3898 |
| 0.0019 | 3.58 | 2300 | 0.7200 | 43.4106 |
| 0.0017 | 3.74 | 2400 | 0.7206 | 43.4315 |
| 0.0015 | 3.9 | 2500 | 0.7209 | 43.4268 |
| 0.0016 | 4.05 | 2600 | 0.7210 | 43.6031 |
| 0.0267 | 4.21 | 2700 | 0.7212 | 43.5891 |
| 0.001 | 4.36 | 2800 | 0.7213 | 43.5938 |
| 0.0015 | 4.52 | 2900 | 0.7215 | 43.6031 |
| 0.0019 | 4.67 | 3000 | 0.7215 | 43.6054 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.0.1+cu117
- Datasets 2.15.0
- Tokenizers 0.15.0
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