wav2vec2-large-960h-lv60-self-dysarthria

This model is a fine-tuned version of facebook/wav2vec2-large-960h-lv60-self on the None dataset. It achieves the following results on the evaluation set:

• Loss: 2.2385
• Wer: 1.0

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: 100
• num_epochs: 30

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
20.9703	3.2	200	3.5607	1.0
3.4216	6.4	400	3.3741	1.0
3.3062	9.6	600	3.1419	1.0
2.994	12.8	800	2.6835	1.0
2.7361	16.0	1000	2.4129	1.0
2.6005	19.2	1200	2.2973	1.0
2.5724	22.4	1400	2.2520	1.0
2.619	25.6	1600	2.2435	1.0
2.5278	28.8	1800	2.2385	1.0

Framework versions

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