metadata

license: apache-2.0
base_model: openai/whisper-medium
tags:
  - generated_from_trainer
model-index:
  - name: whisper-medium-ga2en-v5.3.1-r
    results: []

whisper-medium-ga2en-v5.3.1-r

This model is a fine-tuned version of openai/whisper-medium 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: 0.0001
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.03
training_steps: 4000
mixed_precision_training: Native AMP

Framework versions

Transformers 4.41.2
Pytorch 2.2.0+cu121
Datasets 2.19.2
Tokenizers 0.19.1