metadata

base_model: openai/whisper-medium
datasets:
  - mozilla-foundation/common_voice_11_0
language:
  - ha
library_name: peft
license: apache-2.0
tags:
  - generated_from_trainer
model-index:
  - name: Whisper Small ha Test- Dinaka Ezeani
    results: []

Whisper Small ha Test- Dinaka Ezeani

This model is a fine-tuned version of openai/whisper-medium on the Common Voice 11.0 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: 0.001
train_batch_size: 128
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 2
training_steps: 10
mixed_precision_training: Native AMP

Framework versions

PEFT 0.12.0
Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.0
Tokenizers 0.19.1