metadata

license: apache-2.0
base_model: openai/whisper-small
tags:
  - generated_from_trainer
model-index:
  - name: stammer-libristutter-small
    results: []

stammer-libristutter-small

This model is a fine-tuned version of openai/whisper-small on the None dataset. It achieves the following results on the evaluation set:

eval_loss: 0.2804
eval_wer: 18.7648
eval_runtime: 69.9551
eval_samples_per_second: 2.859
eval_steps_per_second: 0.357
epoch: 2.56
step: 128

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: 32
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 32
training_steps: 256
mixed_precision_training: Native AMP

Framework versions

Transformers 4.43.2
Pytorch 2.1.0+cu118
Datasets 2.20.0
Tokenizers 0.19.1