wav2vec2-base-demo-colab

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: 0.4500
• Wer: 0.3391

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
3.5329	4.0	500	1.5741	1.0400
0.6432	8.0	1000	0.4571	0.4418
0.2214	12.0	1500	0.4381	0.3823
0.1294	16.0	2000	0.4706	0.3911
0.0868	20.0	2500	0.5252	0.3662
0.0616	24.0	3000	0.4828	0.3458
0.0461	28.0	3500	0.4500	0.3391

Framework versions

• Transformers 4.11.3
• Pytorch 1.10.0+cu111
• Datasets 1.14.0
• Tokenizers 0.10.3