wav2vec2-base-checkpoint-12

This model is a fine-tuned version of jiobiala24/wav2vec2-base-checkpoint-11.1 on the common_voice dataset. It achieves the following results on the evaluation set:

• Loss: 1.0795
• Wer: 0.3452

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
0.2793	1.64	1000	0.5692	0.3518
0.2206	3.28	2000	0.6127	0.3460
0.1733	4.93	3000	0.6622	0.3580
0.1391	6.57	4000	0.6768	0.3519
0.1193	8.21	5000	0.7559	0.3540
0.1053	9.85	6000	0.7873	0.3562
0.093	11.49	7000	0.8170	0.3612
0.0833	13.14	8000	0.8682	0.3579
0.0753	14.78	9000	0.8317	0.3573
0.0698	16.42	10000	0.9213	0.3525
0.0623	18.06	11000	0.9746	0.3531
0.0594	19.7	12000	1.0027	0.3502
0.0538	21.35	13000	1.0045	0.3545
0.0504	22.99	14000	0.9821	0.3523
0.0461	24.63	15000	1.0818	0.3462
0.0439	26.27	16000	1.0995	0.3495
0.0421	27.91	17000	1.0533	0.3430
0.0415	29.56	18000	1.0795	0.3452

Framework versions

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