metadata

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

whisper-tiny-finetuned

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: 0.0001
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 10
mixed_precision_training: Native AMP

Framework versions

PEFT 0.11.1
Transformers 4.42.3
Pytorch 2.2.2+cu121
Datasets 2.19.2
Tokenizers 0.19.1