wav2vec2-large-xls-r-300m-dm32 – AI Model by jcrawf1077 | AlphaNeural AI

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jcrawf1077/
wav2vec2-large-xls-r-300m-dm32

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audio-classification

generated_from_trainer

facebook/wav2vec2-xls-r-300m

endpoints_compatible

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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: 0.6641
Accuracy: 0.6000

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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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	2.8333	34	0.6861	0.5714
No log	5.6667	68	0.6833	0.5714
No log	8.5	102	0.6221	0.6000
1.3694	11.3333	136	0.6854	0.5714
1.3694	14.1667	170	0.6814	0.5714
1.3694	17.0	204	0.6799	0.5714
1.3748	19.8333	238	0.6641	0.6000

Framework versions

Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2