metadata
language:
- fa
license: apache-2.0
base_model: openai/whisper-small
tags:
- whisper-event
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_16_0
metrics:
- wer
model-index:
- name: Whisper Small Persian Iranian
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: mozilla-foundation/common_voice_16_0 fa
type: mozilla-foundation/common_voice_16_0
config: fa
split: test
args: fa
metrics:
- name: Wer
type: wer
value: 39.72011741415796
Whisper Small Persian Iranian
This model is a fine-tuned version of openai/whisper-small on the mozilla-foundation/common_voice_16_0 fa dataset. It achieves the following results on the evaluation set:
- Loss: 0.4858
- Wer: 39.7201
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-06
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- training_steps: 5000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.4531 | 1.03 | 500 | 0.6448 | 50.7393 |
| 0.4031 | 3.0 | 1000 | 0.5755 | 46.5001 |
| 0.2745 | 4.04 | 1500 | 0.5389 | 43.7190 |
| 0.336 | 6.0 | 2000 | 0.5166 | 42.4056 |
| 0.2429 | 7.04 | 2500 | 0.5045 | 41.1810 |
| 0.2852 | 9.01 | 3000 | 0.4941 | 40.6444 |
| 0.2217 | 10.04 | 3500 | 0.4888 | 40.1106 |
| 0.2384 | 12.01 | 4000 | 0.4873 | 39.9208 |
| 0.1889 | 13.04 | 4500 | 0.4858 | 39.7201 |
| 0.2202 | 15.01 | 5000 | 0.4888 | 39.7228 |
Framework versions
- Transformers 4.38.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.16.2.dev0
- Tokenizers 0.15.0