shpotes/xls-r-et-cv_8_0

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - ET dataset. It achieves the following results on the evaluation set:

• Loss: 0.4623
• Wer: 0.3420

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: 72
• eval_batch_size: 72
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 144
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_steps: 500
• num_epochs: 100.0
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.3082	12.5	500	0.3871	0.4907
0.1497	25.0	1000	0.4168	0.4278
0.1243	37.5	1500	0.4446	0.4220
0.0954	50.0	2000	0.4426	0.3946
0.0741	62.5	2500	0.4502	0.3800
0.0533	75.0	3000	0.4618	0.3653
0.0447	87.5	3500	0.4518	0.3461
0.0396	100.0	4000	0.4623	0.3420

Framework versions

• Transformers 4.16.0.dev0
• Pytorch 1.10.1+cu102
• Datasets 1.18.4.dev0
• Tokenizers 0.11.0