This model is a fine-tuned version of facebook/wav2vec2-xls-r-1b on the common_voice dataset. It achieves the following results on the evaluation set:

Loss: 0.1582
Wer: 0.1137

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: 3e-05
train_batch_size: 24
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 48
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 900
num_epochs: 100
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
3.6292	5.26	500	1.5562	0.9263
0.1303	10.53	1000	0.8107	0.7666
0.0974	15.79	1500	0.5290	0.4979
0.0724	21.05	2000	0.2941	0.2247
0.0591	26.32	2500	0.2838	0.2125
0.0494	31.58	3000	0.2589	0.2102
0.0417	36.84	3500	0.1987	0.1760
0.0375	42.11	4000	0.1934	0.1690
0.031	47.37	4500	0.1630	0.1460
0.027	52.63	5000	0.1957	0.1447
0.0256	57.89	5500	0.1747	0.1368
0.0206	63.16	6000	0.1602	0.1299
0.0178	68.42	6500	0.1809	0.1273
0.0154	73.68	7000	0.1686	0.1216
0.0137	78.95	7500	0.1585	0.1241
0.0128	84.21	8000	0.1783	0.1278
0.011	89.47	8500	0.1653	0.1228
0.0096	94.74	9000	0.1620	0.1161
0.0091	100.0	9500	0.1582	0.1137

Framework versions

Transformers 4.16.0.dev0
Pytorch 1.10.1+cu102
Datasets 1.17.1.dev0
Tokenizers 0.10.3

reach-vb/wav2vec2-large-xls-r-1B-common_voice7-lv-ft

wav2vec2-large-xls-r-1B-common_voice7-lv-ft

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

reach-vb/
wav2vec2-large-xls-r-1B-common_voice7-lv-ft