metadata

license: apache-2.0
base_model: openai/whisper-tiny
tags:
  - generated_from_trainer
datasets:
  - common_voice_16_1
model-index:
  - name: whisper-tiny-lt
    results: []

whisper-tiny-lt

This model is a fine-tuned version of openai/whisper-tiny on the common_voice_16_1 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: 5e-06
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 200
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.37.2
Pytorch 2.2.1+cu118
Datasets 2.18.0
Tokenizers 0.15.2