wav2vec2-base-checkpoint-11.1

This model is a fine-tuned version of jiobiala24/wav2vec2-base-checkpoint-10 on the common_voice dataset. It achieves the following results on the evaluation set:

• Loss: 1.0173
• Wer: 0.3350

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
0.2788	1.52	1000	0.5776	0.3410
0.2277	3.04	2000	0.6148	0.3465
0.1772	4.56	3000	0.6497	0.3497
0.1528	6.08	4000	0.6786	0.3430
0.1285	7.6	5000	0.6779	0.3489
0.1104	9.12	6000	0.7417	0.3528
0.0965	10.64	7000	0.7956	0.3477
0.0914	12.16	8000	0.7994	0.3570
0.082	13.68	9000	0.8690	0.3510
0.0788	15.2	10000	0.8569	0.3526
0.0727	16.72	11000	0.8885	0.3440
0.0656	18.24	12000	0.9586	0.3476
0.0608	19.76	13000	0.9317	0.3495
0.0588	21.28	14000	0.9809	0.3449
0.0547	22.8	15000	0.9552	0.3421
0.0519	24.32	16000	0.9782	0.3380
0.0474	25.84	17000	0.9923	0.3386
0.046	27.36	18000	0.9984	0.3347
0.045	28.88	19000	1.0173	0.3350

Framework versions

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