wav2vec2-base-timit-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: 0.4812
• Wer: 0.3557

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
3.4668	4.0	500	1.3753	0.9895
0.6126	8.0	1000	0.4809	0.4350
0.2281	12.0	1500	0.4407	0.4033
0.1355	16.0	2000	0.4590	0.3765
0.0923	20.0	2500	0.4754	0.3707
0.0654	24.0	3000	0.4719	0.3557
0.0489	28.0	3500	0.4812	0.3557

Framework versions

• Transformers 4.11.3
• Pytorch 1.10.0+cu111
• Datasets 1.13.3
• Tokenizers 0.10.3