wav2vec2-common_voice-nl-demo

This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the COMMON_VOICE - NL dataset. It achieves the following results on the evaluation set:

• Loss: 0.3523
• Wer: 0.2046

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: 0.0003
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• gradient_accumulation_steps: 8
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• num_epochs: 15.0
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
3.0536	1.12	500	0.5349	0.4338
0.2543	2.24	1000	0.3859	0.3029
0.1472	3.36	1500	0.3471	0.2818
0.1088	4.47	2000	0.3489	0.2731
0.0855	5.59	2500	0.3582	0.2558
0.0721	6.71	3000	0.3457	0.2471
0.0653	7.83	3500	0.3299	0.2357
0.0527	8.95	4000	0.3440	0.2334
0.0444	10.07	4500	0.3417	0.2289
0.0404	11.19	5000	0.3691	0.2204
0.0345	12.3	5500	0.3453	0.2102
0.0288	13.42	6000	0.3634	0.2089
0.027	14.54	6500	0.3532	0.2044

Framework versions

• Transformers 4.17.0.dev0
• Pytorch 1.10.2+cu102
• Datasets 1.18.3
• Tokenizers 0.11.0