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Whisper Small CostumData_ownmodel

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

eval_loss: 0.6273
eval_wer: 47.0103
eval_runtime: 1624.213
eval_samples_per_second: 1.96
eval_steps_per_second: 0.245
epoch: 5.0251
step: 1000

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: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 5000
mixed_precision_training: Native AMP

Framework versions

Transformers 4.40.0
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1

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Safetensors

Model size

0.2B params

Tensor type

F32

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