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

Loss: 0.2278
Wer: 0.1787

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
0.2548	4.24	500	0.2470	0.3663
0.1435	8.47	1000	0.2000	0.2791
0.1158	12.71	1500	0.2030	0.2652
0.1094	16.95	2000	0.2096	0.2605
0.1004	21.19	2500	0.2150	0.2477
0.0945	25.42	3000	0.2072	0.2369
0.0844	29.66	3500	0.1981	0.2328
0.0877	33.89	4000	0.2041	0.2425
0.0741	38.14	4500	0.2353	0.2421
0.0676	42.37	5000	0.2092	0.2213
0.0623	46.61	5500	0.2217	0.2250
0.0574	50.84	6000	0.2152	0.2179
0.0583	55.08	6500	0.2207	0.2186
0.0488	59.32	7000	0.2225	0.2159
0.0456	63.56	7500	0.2293	0.2031
0.041	67.79	8000	0.2277	0.2013
0.0379	72.03	8500	0.2287	0.1991
0.0381	76.27	9000	0.2233	0.1954
0.0308	80.51	9500	0.2195	0.1835
0.0291	84.74	10000	0.2266	0.1825
0.0266	88.98	10500	0.2285	0.1801
0.0266	93.22	11000	0.2292	0.1801
0.0262	97.46	11500	0.2278	0.1788

Framework versions

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

shpotes/xls-r-eus

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

shpotes/
xls-r-eus