dat259-nor-wav2vec2

Jethuestad/dat259-nor-wav2vec2

dat259-nor-wav2vec2 is a automatic speech recognition model from Jethuestad. 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: wav2vec2
Access: Public
Created: Aug 15, 2022
Updated: Aug 15, 2022
SHA: 87eed6ef

Datasets

common_voice_8_0

Model card

From the Hugging Face model README

dat259-nor-wav2vec2

This model is a fine-tuned version of NbAiLab/nb-wav2vec2-300m-nynorsk on the common_voice_8_0 dataset. It achieves the following results on the evaluation set:

Loss: 10.9446
Wer: 1.1259

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: 0.0001
train_batch_size: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 5
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
84.8696	1.57	5	91.5942	1.0
62.5471	3.29	10	33.8515	1.0068
20.2215	4.86	15	17.4461	1.0017
15.2892	6.57	20	13.5454	1.0034
12.8086	8.29	25	12.0084	1.0408
11.0168	9.86	30	10.9446	1.1259

Framework versions

Transformers 4.21.1
Pytorch 1.10.0+cu113
Datasets 2.4.0
Tokenizers 0.12.1

Task: Automatic Speech Recognition
Library: transformers
Type: wav2vec2
License: apache-2.0
Created: Aug 15, 2022
Updated: Aug 15, 2022