metadata

language:
  - fa
license: apache-2.0
base_model: openai/whisper-small
tags:
  - fa-asr-leaderboard
  - generated_from_trainer
datasets:
  - mozilla-foundation/common_voice_15_0
model-index:
  - name: Whisper Small Persian
    results: []

Whisper Small Persian

This model is a fine-tuned version of openai/whisper-small on the Common Voice 15.0 dataset.

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: 0.0001
train_batch_size: 14
eval_batch_size: 10
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 56
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 50
training_steps: 5
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.35.0
Pytorch 2.0.1+cu117
Datasets 2.14.6
Tokenizers 0.14.1