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

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

wav2vec2-large-xls-r-300m-dm32 is a machine learning model from Jamiamonique. 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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At a glance

Library: transformers
License: apache-2.0
Model type: wav2vec2
Access: Public
Created: Feb 4, 2025
Updated: Mar 20, 2025
SHA: d19271c9

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: 0.5965
Accuracy: 0.7292

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: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 64
optimizer: Use 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: 22
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	8.5	34	0.6786	0.5417
No log	17.0	68	0.5965	0.7292

Framework versions

Transformers 4.49.0
Pytorch 2.0.1+cu117
Datasets 3.4.1
Tokenizers 0.21.1

Library: transformers
Type: wav2vec2
License: apache-2.0
Created: Feb 4, 2025
Updated: Mar 20, 2025