audio_cls_1016

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: 2.6114
• Accuracy: 0.0924

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: 4
• total_train_batch_size: 32
• 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: 10
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	15	2.6430	0.1176
No log	2.0	30	2.6421	0.0672
No log	3.0	45	2.6398	0.0672
No log	4.0	60	2.6369	0.0672
No log	5.0	75	2.6385	0.1008
No log	6.0	90	2.6339	0.0924
No log	7.0	105	2.6335	0.0924
No log	8.0	120	2.6274	0.0756
No log	9.0	135	2.6122	0.0756
No log	10.0	150	2.6114	0.0924

Framework versions

• Transformers 5.18.0
• Pytorch 2.11.0+cu130
• Datasets 4.8.5
• Tokenizers 0.23.2