Whisper Small vn - pbl4

This model is a fine-tuned version of openai/whisper-small on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.7314
  • Wer: 27.8210

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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • training_steps: 4000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
0.0252 5.7471 1000 0.6066 28.1171
0.0006 11.4943 2000 0.6882 27.6017
0.0003 17.2414 3000 0.7211 27.9088
0.0002 22.9885 4000 0.7314 27.8210

Framework versions

  • Transformers 4.47.1
  • Pytorch 2.4.0
  • Datasets 3.2.0
  • Tokenizers 0.21.0
Downloads last month
45
Safetensors
Model size
242M params
Tensor type
F32
·
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for cang1602004/whisper-small-vn

Finetuned
(2146)
this model

Dataset used to train cang1602004/whisper-small-vn

Evaluation results