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

shpotes/xls-r-et-cv_8_0

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

shpotes/
xls-r-et-cv_8_0