xlsr-53-ur

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

• Loss: 0.6860
• Wer: 0.3451

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: 6
• eval_batch_size: 6
• seed: 42
• distributed_type: multi-GPU
• num_devices: 2
• total_train_batch_size: 12
• total_eval_batch_size: 12
• 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
3.0396	1.59	300	3.0179	1.0
0.4976	3.17	600	0.7037	0.5447
0.3062	4.76	900	0.5557	0.4036
0.2287	6.35	1200	0.5620	0.3935
0.2504	7.94	1500	0.5907	0.3677
0.0633	9.52	1800	0.6239	0.3773
0.0456	11.11	2100	0.6748	0.3604
0.0774	12.7	2400	0.6747	0.3552
0.058	14.29	2700	0.6860	0.3451

Framework versions

• Transformers 4.27.0.dev0
• Pytorch 1.13.1+cu116
• Datasets 2.9.0
• Tokenizers 0.13.2