metadata

language:
  - ak
license: apache-2.0
base_model: openai/whisper-tiny
tags:
  - generated_from_trainer
datasets:
  - UGSPEECHDATA
model-index:
  - name: Whisper Tiny Ak - Sumaya Ahmed Salihs
    results: []

Whisper Tiny Ak - Sumaya Ahmed Salihs

This model is a fine-tuned version of openai/whisper-tiny on the openai/whisper-tiny dataset. It achieves the following results on the evaluation set: WER: 0.931

eval_loss: 4.6150
eval_runtime: 94.5398
eval_wer: 0.9308
eval_samples_per_second: 0.529
eval_steps_per_second: 0.529
step: 0

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-05
train_batch_size: 16
eval_batch_size: 1
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant_with_warmup
lr_scheduler_warmup_steps: 50
training_steps: 500
mixed_precision_training: Native AMP

Framework versions

Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.21.0
Tokenizers 0.19.1