wav2vec_trained

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: 0.0337
• Wer: 0.1042

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: 8
• 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
4.3849	2.21	500	2.9148	1.0
1.9118	4.42	1000	0.9627	0.5833
0.7596	6.64	1500	0.8953	0.3542
0.4602	8.85	2000	0.3325	0.2083
0.331	11.06	2500	0.3084	0.2083
0.2474	13.27	3000	0.0960	0.1667
0.1934	15.49	3500	0.1276	0.125
0.156	17.7	4000	0.0605	0.0833
0.1244	19.91	4500	0.0831	0.1458
0.1006	22.12	5000	0.0560	0.125
0.0827	24.34	5500	0.0395	0.0833
0.0723	26.55	6000	0.0573	0.0833
0.0606	28.76	6500	0.0337	0.1042

Framework versions

• Transformers 4.17.0
• Pytorch 1.11.0+cu113
• Datasets 1.18.3
• Tokenizers 0.12.1