SKYLy

This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the common_voice dataset. It achieves the following results on the evaluation set:

• Loss: 0.7645
• Wer: 0.4083

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

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
4.4215	4.26	400	1.6323	0.9857
0.5716	8.51	800	0.6679	0.5107
0.1721	12.77	1200	0.6935	0.4632
0.1063	17.02	1600	0.7533	0.4432
0.0785	21.28	2000	0.7208	0.4255
0.0608	25.53	2400	0.7481	0.4117
0.0493	29.79	2800	0.7645	0.4083

Framework versions

• Transformers 4.11.3
• Pytorch 1.10.0+cu113
• Datasets 2.1.0
• Tokenizers 0.10.3