rah_toki_pona

pabagcha/rah_toki_pona

rah_toki_pona is a automatic speech recognition model from pabagcha. Use it when you need speech turned into text. It is set up for transformers.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Automatic Speech Recognition
Library: transformers
Model type: wav2vec2
Access: Public
Created: Feb 12, 2023
Updated: Feb 13, 2023
SHA: 5ad4cdfd

Datasets

common_voice_11_0

Model card

From the Hugging Face model README

rah_toki_pona

This model was finetuned from facebook/wav2vec2-xls-r-300m on the common_voice_11_0 dataset. It achieves the following results on the evaluation set:

Loss: 0.1053
Wer: 0.0640

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: 0.0003
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
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: 500
num_epochs: 15
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0516	3.22	400	0.1301	0.0996
0.0817	6.45	800	0.1319	0.0899
0.0567	9.67	1200	0.1009	0.0682
0.0376	12.9	1600	0.1053	0.0640

Framework versions

Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.9.0
Tokenizers 0.13.2

Task: Automatic Speech Recognition
Library: transformers
Type: wav2vec2
Created: Feb 12, 2023
Updated: Feb 13, 2023