wav2vec2-base-timit-demo-google-colab

This model is a fine-tuned version of facebook/wav2vec2-base on the timit_asr dataset. It achieves the following results on the evaluation set:

• Loss: 0.4743
• Wer: 0.3355

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
3.4394	4.0	500	1.2662	0.8530
0.5192	8.0	1000	0.4308	0.4176
0.1896	12.0	1500	0.4249	0.3656
0.1158	16.0	2000	0.4405	0.3583
0.0791	20.0	2500	0.4949	0.3481
0.0578	24.0	3000	0.4895	0.3448
0.0462	28.0	3500	0.4743	0.3355

Framework versions

• Transformers 4.45.1
• Pytorch 2.1.2
• Datasets 3.0.1
• Tokenizers 0.20.0