jmaczan/wav2vec2-large-xls-r-300m-dysarthria-quant-onnx

wav2vec2-large-xls-r-300m-dysarthria-big-dataset

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

• Loss: 0.0864
• Wer: 0.182

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: 0.0003
• train_batch_size: 16
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• num_epochs: 30
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
1.419	3.2	200	0.7599	0.668
0.7759	6.4	400	0.4966	0.618
0.5808	9.6	600	0.3352	0.508
0.3652	12.8	800	0.2214	0.386
0.2347	16.0	1000	0.1566	0.246
0.1738	19.2	1200	0.1340	0.23
0.1076	22.4	1400	0.1244	0.242
0.077	25.6	1600	0.0948	0.184
0.0566	28.8	1800	0.0864	0.182

Framework versions

• Transformers 4.43.2
• Pytorch 2.2.1+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1