metadata

base_model: openai/whisper-large-v2
library_name: peft
license: apache-2.0
tags:
  - generated_from_trainer
model-index:
  - name: whisper-largeV2-05-ms-v8-LORA
    results: []

whisper-largeV2-05-ms-v8-LORA

This model is a fine-tuned version of openai/whisper-large-v2 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: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 2
training_steps: 500
mixed_precision_training: Native AMP

Framework versions

PEFT 0.11.1
Transformers 4.41.2
Pytorch 2.2.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1