metadata

license: apache-2.0
base_model: openai/whisper-tiny
tags:
  - generated_from_trainer
datasets:
  - PolyAI/minds14
model-index:
  - name: whisper-tiny-en-us-minds14
    results: []

whisper-tiny-en-us-minds14

This model is a fine-tuned version of openai/whisper-tiny on the PolyAI/minds14 dataset. It achieves the following results on the evaluation set:

eval_loss: 0.3247
eval_wer_ortho: 36.7057
eval_wer: 36.6588
eval_runtime: 20.5021
eval_samples_per_second: 5.512
eval_steps_per_second: 0.39
epoch: 107.14
step: 3000

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: 16
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: 4000

Framework versions

Transformers 4.35.1
Pytorch 2.1.0
Datasets 2.14.6
Tokenizers 0.14.1