metadata

library_name: transformers
license: mit
base_model: openai/whisper-large-v3-turbo
tags:
  - generated_from_trainer
model-index:
  - name: finetuning_model
    results: []

finetuning_model

This model is a fine-tuned version of openai/whisper-large-v3-turbo on the None 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: 5e-06
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
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: 750
num_epochs: 2
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.46.1
Pytorch 2.5.0+cu121
Datasets 3.0.2
Tokenizers 0.20.1