XLRS-torgo

monideep2255/XLRS-torgo

XLRS-torgo is a automatic speech recognition model from monideep2255. 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: Oct 23, 2022
Updated: Oct 27, 2022
SHA: 88008029

Model card

From the Hugging Face model README

XLRS-torgo

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on an unknown dataset. It achieves the following results on the evaluation set:

Loss: inf
Wer: 1.6074

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: 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: 500
num_epochs: 30
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
2.554	3.54	400	inf	1.6325
2.3441	7.08	800	inf	1.6406
1.7386	10.62	1200	inf	1.5875
1.0358	14.16	1600	inf	1.6613
0.6366	17.7	2000	inf	1.5348
0.4175	21.24	2400	inf	1.6321
0.3001	24.78	2800	inf	1.5772
0.223	28.32	3200	inf	1.6074

Framework versions

Transformers 4.23.1
Pytorch 1.10.0+cu113
Datasets 1.18.3
Tokenizers 0.13.1

Task: Automatic Speech Recognition
Library: transformers
Type: wav2vec2
License: apache-2.0
Created: Oct 23, 2022
Updated: Oct 27, 2022