whispertest

guqun/whispertest

whispertest is a automatic speech recognition model from guqun. 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: May 25, 2023
Updated: May 31, 2023
SHA: 09ee4efa

Model card

From the Hugging Face model README

whispertest

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

Loss: 0.2991
Wer: 167.4731

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
0.2588	0.4	1000	0.2991	167.4731
0.275	0.81	2000	0.2991	167.4731
0.2793	1.21	3000	0.2991	167.4731
0.2511	1.61	4000	0.2991	167.4731

Framework versions

Transformers 4.30.0.dev0
Pytorch 2.0.0+cu117
Datasets 2.12.0
Tokenizers 0.13.3

Task: Automatic Speech Recognition
Library: transformers
Type: whisper
License: apache-2.0
Languages: zh
Created: May 25, 2023
Updated: May 31, 2023