wav2vec2-large-xls-r-300m-dm32 – AI Model by milowilson | AlphaNeural AI

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

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facebook/wav2vec2-xls-r-300m

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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

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.0	0.6711	100	nan	0.8333
0.0	1.3423	200	nan	0.8333
0.0	2.0134	300	nan	0.8333
0.0	2.6846	400	nan	0.8333
0.0	3.3557	500	nan	0.8333
0.0	4.0268	600	nan	0.8333
0.0	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