ML_project_custom_data_2epoch_with500

ymlee/ML_project_custom_data_2epoch_with500

ML_project_custom_data_2epoch_with500 is a machine learning model from ymlee. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

Library: peft
License: apache-2.0
Access: Public
Created: Jun 8, 2024
Updated: Jun 8, 2024
SHA: 34b7f631

Base models

openai/whisper-large-v2

Datasets

customd_ataset

Model card

From the Hugging Face model README

Whisper large-v2 Korean - ML_project_custom_data_2epoch_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: 0.5808
Cer: 75.3104

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: 2
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Cer
0.5999	1.0	113	0.6111	49.3061
0.2814	2.0	226	0.5808	75.3104

Framework versions

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

Library: peft
License: apache-2.0
Languages: ko
Created: Jun 8, 2024
Updated: Jun 8, 2024