wav2vec2-base-checkpoint-10

This model is a fine-tuned version of jiobiala24/wav2vec2-base-checkpoint-9 on the common_voice dataset. It achieves the following results on the evaluation set:

• Loss: 0.9567
• Wer: 0.3292

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
0.2892	1.62	1000	0.5745	0.3467
0.235	3.23	2000	0.6156	0.3423
0.1782	4.85	3000	0.6299	0.3484
0.1504	6.46	4000	0.6475	0.3446
0.133	8.08	5000	0.6753	0.3381
0.115	9.69	6000	0.7834	0.3529
0.101	11.31	7000	0.7924	0.3426
0.0926	12.92	8000	0.7887	0.3465
0.0863	14.54	9000	0.7674	0.3439
0.0788	16.16	10000	0.8648	0.3435
0.0728	17.77	11000	0.8460	0.3395
0.0693	19.39	12000	0.8941	0.3451
0.0637	21.0	13000	0.9079	0.3356
0.0584	22.62	14000	0.8851	0.3336
0.055	24.23	15000	0.9400	0.3338
0.0536	25.85	16000	0.9387	0.3335
0.0481	27.46	17000	0.9664	0.3337
0.0485	29.08	18000	0.9567	0.3292

Framework versions

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