fluency_accuracy

JohnJumon/fluency_accuracy

fluency_accuracy is a audio classification model from JohnJumon. Use it for the audio classification task on the model card, and read the license before you ship it in a product. 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: Audio Classification
Library: transformers
License: apache-2.0
Model type: whisper
Access: Public
Created: Mar 15, 2024
Updated: Mar 15, 2024
SHA: 7ea50019

Base models

openai/whisper-base

Spaces

Model card

From the Hugging Face model README

fluency_accuracy

This model is a fine-tuned version of openai/whisper-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.5218
Accuracy: 0.827

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: 5e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	125	0.4664	0.814
No log	2.0	250	0.4250	0.823
No log	3.0	375	0.5218	0.827

Framework versions

Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2

Task: Audio Classification
Library: transformers
Type: whisper
License: apache-2.0
Created: Mar 15, 2024
Updated: Mar 15, 2024