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

Loss: 0.1578
Wer: 0.6040
Cer: 0.0475

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: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 2000
num_epochs: 50.0
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
2.9736	3.62	500	2.9508	1.0	1.0
1.3293	7.25	1000	0.3330	0.8407	0.0862
0.956	10.87	1500	0.2042	0.6872	0.0602
0.9509	14.49	2000	0.2184	0.7088	0.0652
0.9272	18.12	2500	0.2312	0.7211	0.0703
0.8561	21.74	3000	0.2158	0.6838	0.0631
0.8258	25.36	3500	0.1970	0.6844	0.0601
0.7993	28.98	4000	0.1895	0.6698	0.0577
0.7525	32.61	4500	0.1845	0.6453	0.0550
0.7211	36.23	5000	0.1781	0.6274	0.0531
0.677	39.85	5500	0.1732	0.6188	0.0514
0.6517	43.48	6000	0.1691	0.6177	0.0503
0.6326	47.1	6500	0.1619	0.6045	0.0479

Framework versions

Transformers 4.17.0.dev0
Pytorch 1.10.2+cu102
Datasets 1.18.2.dev0
Tokenizers 0.11.0

ubamba98/wav2vec2-xls-r-300m-CV8-ro

wav2vec2-xls-r-300m-CV8-ro

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

ubamba98/
wav2vec2-xls-r-300m-CV8-ro