ctrlv-wav2vec2-tokenizer

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

• Loss: 0.3967
• Wer: 0.3138

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: 32
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 1000
• num_epochs: 30
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
3.4359	3.45	500	1.3595	0.9159
0.5692	6.9	1000	0.4332	0.4036
0.2198	10.34	1500	0.4074	0.3678
0.1314	13.79	2000	0.3480	0.3409
0.0929	17.24	2500	0.3714	0.3346
0.0692	20.69	3000	0.3977	0.3224
0.0542	24.14	3500	0.4068	0.3187
0.0422	27.59	4000	0.3967	0.3138

Framework versions

• Transformers 4.11.3
• Pytorch 1.10.0+cu111
• Datasets 1.18.3
• Tokenizers 0.10.3