This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the MOZILLA-FOUNDATION/COMMON_VOICE_7_0 - BR dataset. It achieves the following results on the evaluation set:

Loss: 0.6102
Wer: 0.4455

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: 7e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 50.0
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
2.9205	3.33	500	2.8659	1.0
1.6403	6.67	1000	0.9440	0.7593
1.3483	10.0	1500	0.7580	0.6215
1.2255	13.33	2000	0.6851	0.5722
1.1139	16.67	2500	0.6409	0.5220
1.0688	20.0	3000	0.6245	0.5055
0.99	23.33	3500	0.6142	0.4874
0.9345	26.67	4000	0.5946	0.4829
0.9058	30.0	4500	0.6229	0.4704
0.8683	33.33	5000	0.6153	0.4666
0.8367	36.67	5500	0.5952	0.4542
0.8162	40.0	6000	0.6030	0.4541
0.8042	43.33	6500	0.5972	0.4485
0.7836	46.67	7000	0.6070	0.4497
0.7556	50.0	7500	0.6102	0.4455

Framework versions

Transformers 4.16.0.dev0
Pytorch 1.10.1+cu102
Datasets 1.17.1.dev0
Tokenizers 0.11.0

infinitejoy/wav2vec2-large-xls-r-300m-breton

wav2vec2-large-xls-r-300m-breton

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

infinitejoy/
wav2vec2-large-xls-r-300m-breton