patrickvonplaten/wav2vec2-xlarge-dotdotdot-common_voice-tr-demo

wav2vec2-xlarge-...-common_voice-tr-demo

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

• Loss: 0.2701
• Wer: 0.2309
• Cer: 0.0527

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: 0.00005
• train_batch_size: 2
• eval_batch_size: 8
• seed: 42
• distributed_type: multi-GPU
• num_devices: 2
• gradient_accumulation_steps: 8
• total_train_batch_size: 32
• total_eval_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• num_epochs: 30.0
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.4388	3.7	400	1.366	0.9701
0.3766	7.4	800	0.4914	0.5374
0.2295	11.11	1200	0.3934	0.4125
0.1121	14.81	1600	0.3264	0.2904
0.1473	18.51	2000	0.3103	0.2671
0.1013	22.22	2400	0.2589	0.2324
0.0704	25.92	2800	0.2826	0.2339
0.0537	29.63	3200	0.2704	0.2309

Framework versions

• Transformers 4.12.0.dev0
• Pytorch 1.8.1
• Datasets 1.14.1.dev0
• Tokenizers 0.10.3