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: 0.5688
• 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 22
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	2.41	34	0.6769	0.6458
No log	4.83	68	0.6864	0.5208
No log	7.28	102	0.6596	0.6042
0.7106	9.69	136	0.6208	0.6875
0.7106	12.14	170	0.6152	0.6875
0.7106	14.55	204	0.6167	0.6875
0.6464	16.97	238	0.5782	0.7708
0.6464	19.41	272	0.6011	0.7292
0.6464	21.83	306	0.5688	0.7917

Framework versions

• Transformers 4.16.2
• Pytorch 1.10.0+cu111
• Datasets 1.18.3
• Tokenizers 0.11.0