xls-r-300m-bem

zambezivoice/xls-r-300m-bem

xls-r-300m-bem is a automatic speech recognition model from zambezivoice. 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: Feb 25, 2023
Updated: Feb 26, 2023
SHA: ff8e36f7

Model card

From the Hugging Face model README

xls-r-300m-bem

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: 0.1962
Wer: 0.3219

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: 2
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
2.8892	0.64	500	0.4485	0.6822
0.5257	1.29	1000	0.2625	0.4381
0.418	1.93	1500	0.2408	0.3948
0.3216	2.58	2000	0.2091	0.3666
0.2797	3.22	2500	0.2040	0.3519
0.2354	3.87	3000	0.1983	0.3328
0.1933	4.51	3500	0.1962	0.3219

Framework versions

Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.10.0
Tokenizers 0.13.2

Task: Automatic Speech Recognition
Library: transformers
Type: wav2vec2
License: apache-2.0
Created: Feb 25, 2023
Updated: Feb 26, 2023