whisper-turbo-tr_All_datasets_finetune

Erenosxx/whisper-turbo-tr_All_datasets_finetune

whisper-turbo-tr_All_datasets_finetune is a machine learning model from Erenosxx. 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 mit.

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

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Hugging Face

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At a glance

Library: peft
License: mit
Access: Public
Created: Apr 8, 2025
Updated: Apr 8, 2025
SHA: 59213734

Base models

openai/whisper-large-v3-turbo

Model card

From the Hugging Face model README

whisper-turbo-tr_All_datasets_finetune

This model is a fine-tuned version of openai/whisper-large-v3-turbo on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.1497

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: 16
eval_batch_size: 8
seed: 42
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_ratio: 0.1
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.1651	0.4869	1500	0.1745
0.158	0.9737	3000	0.1590
0.1391	1.4606	4500	0.1540
0.1509	1.9474	6000	0.1516
0.1387	2.4343	7500	0.1500
0.1428	2.9211	9000	0.1497

Framework versions

PEFT 0.15.1
Transformers 4.48.0
Pytorch 2.5.1
Datasets 3.0.0
Tokenizers 0.21.1

Library: peft
License: mit
Created: Apr 8, 2025
Updated: Apr 8, 2025