wav2vec2-base-timit-demo-colab3

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: 0.4832
• Wer: 0.3419

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
2.292	4.0	500	0.7903	0.6305
0.5022	8.0	1000	0.4497	0.4332
0.2129	12.0	1500	0.4998	0.3940
0.1251	16.0	2000	0.4728	0.3667
0.0861	20.0	2500	0.4663	0.3644
0.0594	24.0	3000	0.4773	0.3497
0.0446	28.0	3500	0.4832	0.3419

Framework versions

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