test

wetq423fqsdv/test

test is a automatic speech recognition model from wetq423fqsdv. Use it when you need speech turned into text. It is set up for transformers. 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

Task: Automatic Speech Recognition
Library: transformers
License: apache-2.0
Model type: whisper
Access: Public
Created: Oct 16, 2023
Updated: Oct 16, 2023
SHA: fadce457

Base models

openai/whisper-base

Datasets

AIHub

Model card

From the Hugging Face model README

test

This model is a fine-tuned version of openai/whisper-base on the Voice data of foreigners speaking Korean for AI learning dataset. It achieves the following results on the evaluation set:

Loss: 0.5120
Cer: 22.3647

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	Cer
0.0055	18.87	1000	0.4457	22.0218
0.0009	37.74	2000	0.4855	21.6916
0.0005	56.6	3000	0.5046	20.6502
0.0004	75.47	4000	0.5120	22.3647

Framework versions

Transformers 4.35.0.dev0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.14.1

Task: Automatic Speech Recognition
Library: transformers
Type: whisper
License: apache-2.0
Languages: ko
Created: Oct 16, 2023
Updated: Oct 16, 2023