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

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aibest/
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: 0.5787
Accuracy: 0.75

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	0.7026	0.5
No log	5.6667	68	0.6974	0.4500
No log	8.5	102	0.6787	0.6500
0.6873	11.3333	136	0.6707	0.5
0.6873	14.1667	170	0.6699	0.5500
0.6873	17.0	204	0.5993	0.7000
0.6221	19.8333	238	0.5787	0.75

Framework versions

Transformers 4.57.1
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1