Whisper Tiny Italian 5k - Chee Li

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

  • Loss: 0.5897
  • Wer: 36.4765

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

Training results

Training Loss Epoch Step Validation Loss Wer
0.175 4.6083 1000 0.4024 37.5480
0.0198 9.2166 2000 0.4795 36.7555
0.0039 13.8249 3000 0.5412 37.0297
0.0018 18.4332 4000 0.5772 36.4017
0.0013 23.0415 5000 0.5897 36.4765

Framework versions

  • Transformers 4.43.4
  • Pytorch 2.3.1+cu121
  • Datasets 2.20.0
  • Tokenizers 0.19.1
Downloads last month
2
Safetensors
Model size
72.6M params
Tensor type
F32
·
Inference API
Unable to determine this model's library. Check the docs .

Model tree for CheeLi03/whisper-base-fa-puct-5k

Finetuned
(1256)
this model

Evaluation results