metadata

language:
  - ko
license: apache-2.0
library_name: peft
tags:
  - generated_from_trainer
base_model: openai/whisper-large-v2
datasets:
  - customd_ataset
model-index:
  - name: Whisper large-v2 Korean - ML_project_custom_data_3epoch_with500
    results: []

Whisper large-v2 Korean - ML_project_custom_data_3epoch_with500

This model is a fine-tuned version of openai/whisper-large-v2 on the customd_ataset dataset. It achieves the following results on the evaluation set:

Loss: 0.7208
Cer: 82.3229

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: 0.001
train_batch_size: 4
eval_batch_size: 2
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 50
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Cer
0.1733	1.0	113	0.7586	63.1848
0.1093	2.0	226	0.7071	81.5924
0.0467	3.0	339	0.7208	82.3229

Framework versions

PEFT 0.11.2.dev0
Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.19.2
Tokenizers 0.19.1