wav2vec2-base-fine-tune-timit

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: 0.4451
• Wer: 0.3422

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
3.6487	4.0	500	1.9065	1.0411
0.8742	8.0	1000	0.4658	0.4720
0.3084	12.0	1500	0.4367	0.4010
0.1825	16.0	2000	0.4403	0.3817
0.1334	20.0	2500	0.4577	0.3625
0.1114	24.0	3000	0.4456	0.3537
0.0835	28.0	3500	0.4451	0.3422

Framework versions

• Transformers 4.11.3
• Pytorch 1.10.0+cu111
• Datasets 1.13.3
• Tokenizers 0.10.3