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

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.4819
• Accuracy: 0.7917

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 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	2.3448	34	0.6873	0.5833
No log	4.6897	68	0.6792	0.5833
No log	7.0345	102	0.6783	0.5833
0.3488	9.3793	136	0.6517	0.7083
0.3488	11.7241	170	0.6711	0.5833
0.3488	14.0690	204	0.6402	0.6042
0.3385	16.4138	238	0.5218	0.7708
0.3385	18.7586	272	0.5119	0.7708
0.3385	21.1034	306	0.4819	0.7917

Framework versions

• Transformers 4.46.2
• Pytorch 2.5.1+cu121
• Datasets 3.1.0
• Tokenizers 0.20.3