metadata

library_name: transformers
license: apache-2.0
base_model: pierreguillou/whisper-medium-portuguese
tags:
  - generated_from_trainer
model-index:
  - name: whisper-finetuned
    results: []

whisper-finetuned

This model is a fine-tuned version of pierreguillou/whisper-medium-portuguese on an unknown dataset.

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
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 4
total_train_batch_size: 256
total_eval_batch_size: 32
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_ratio: 0.15
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.46.0.dev0
Pytorch 2.2.0+cu121
Datasets 3.0.2.dev0
Tokenizers 0.20.0