wav2vec2-large-xls-r-300m-dm32

milowilson/wav2vec2-large-xls-r-300m-dm32

wav2vec2-large-xls-r-300m-dm32 is a machine learning model from milowilson. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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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Hugging Face

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At a glance

Library: transformers
License: apache-2.0
Model type: wav2vec2
Access: Public
Created: Mar 14, 2025
Updated: May 5, 2025
SHA: 5033dee1

Base models

facebook/wav2vec2-xls-r-300m

Model card

From the Hugging Face model README

wav2vec2-large-xls-r-300m-dm32

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: nan
Accuracy: 0.8333

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: 1
eval_batch_size: 1
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5
mixed_precision_training: Native AMP

Training results

Epoch	Step	Validation Loss	Accuracy
0.6711	100	nan	0.8333
1.3423	200	nan	0.8333
2.0134	300	nan	0.8333
2.6846	400	nan	0.8333
3.3557	500	nan	0.8333
4.0268	600	nan	0.8333
4.6980	700	nan	0.8333

Framework versions

Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.5.1
Tokenizers 0.21.1

Library: transformers
Type: wav2vec2
License: apache-2.0
Created: Mar 14, 2025
Updated: May 5, 2025