wav2vec2-base-cv-demo-google-colab

This model is a fine-tuned version of facebook/wav2vec2-large-960h on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.3575
• Wer: 0.2805

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: 16
• eval_batch_size: 16
• 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: 3
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
8.951	0.7126	300	3.0660	1.0
3.0514	1.4252	600	2.9228	1.0
2.7598	2.1378	900	0.7960	0.5544
0.7975	2.8504	1200	0.3575	0.2805

Framework versions

• Transformers 4.42.4
• Pytorch 2.4.0+cu121
• Datasets 2.21.0
• Tokenizers 0.19.1