medical-whisper-pt / README.md
todeschini's picture
Model save
a28c845 verified
|
raw
history blame
1.44 kB
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