dsn_afrispeech

chironbang/dsn_afrispeech

dsn_afrispeech is a automatic speech recognition model from chironbang. 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: Apr 29, 2023
Updated: Apr 30, 2023
SHA: 58f7951e

Model card

From the Hugging Face model README

dsn_afrispeech

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

Loss: 0.7122
Wer: 40.2191

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: 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_steps: 500
training_steps: 4000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.9597	0.4	500	0.9808	52.4616
0.8161	0.81	1000	0.8366	43.4443
0.6999	1.21	1500	0.7818	43.4467
0.6235	1.61	2000	0.7511	40.5909
0.5772	2.02	2500	0.7301	42.0866
0.5506	2.42	3000	0.7210	41.3731
0.5525	2.82	3500	0.7144	40.6223
0.5081	3.23	4000	0.7122	40.2191

Framework versions

Transformers 4.29.0.dev0
Pytorch 2.0.0
Datasets 2.11.0
Tokenizers 0.13.3

Task: Automatic Speech Recognition
Library: transformers
Type: whisper
License: apache-2.0
Created: Apr 29, 2023
Updated: Apr 30, 2023