whisper-polish

CheeLi03/whisper-polish

whisper-polish is a machine learning model from CheeLi03. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.

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

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At a glance

License: mit
Model type: whisper
Access: Public
Created: Oct 9, 2024
Updated: Oct 9, 2024
SHA: 28ca7746

Base models

openai/whisper-large-v3-turbo

Datasets

fleurs

Model card

From the Hugging Face model README

Whisper Turbo - Chee Li

This model is a fine-tuned version of openai/whisper-large-v3-turbo on the Google Fleurs dataset. It achieves the following results on the evaluation set:

Loss: 0.2122
Wer: 16.5502

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 4000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0128	5.0251	1000	0.2026	11.1336
0.0021	10.0503	2000	0.2049	14.8868
0.0003	15.0754	3000	0.2108	13.6427
0.0001	20.1005	4000	0.2122	16.5502

Framework versions

Transformers 4.44.0
Pytorch 2.3.1+cu121
Datasets 2.21.0
Tokenizers 0.19.1

Type: whisper
License: mit
Languages: pl
Created: Oct 9, 2024
Updated: Oct 9, 2024