v4

anaisk/v4

v4 is a automatic speech recognition model from anaisk. 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: Sep 16, 2023
Updated: Sep 16, 2023
SHA: 02896ffe

Model card

From the Hugging Face model README

v4

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

Loss: 0.4543
Wer: 29.6250

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
0.0679	2.05	1000	0.3421	25.1885
0.0187	4.11	2000	0.4067	25.3238
0.0045	6.16	3000	0.4340	25.5848
0.0006	8.21	4000	0.4543	29.6250

Framework versions

Transformers 4.28.0
Pytorch 1.13.1+cu117
Datasets 2.14.5
Tokenizers 0.13.3

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