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: 0.3944
• Wer: 0.3142

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
3.4086	3.45	500	1.1494	0.8509
0.5968	6.9	1000	0.4306	0.4169
0.2363	10.34	1500	0.3820	0.3669
0.1365	13.79	2000	0.3863	0.3487
0.0916	17.24	2500	0.3851	0.3391
0.0704	20.69	3000	0.3759	0.3271
0.0537	24.14	3500	0.3747	0.3222
0.0413	27.59	4000	0.3944	0.3142

Framework versions

• Transformers 4.11.3
• Pytorch 1.11.0+cu113
• Datasets 1.14.0
• Tokenizers 0.10.3