This model is a fine-tuned version of facebook/mms-1b-all on the MOZILLA-FOUNDATION/COMMON_VOICE_16_0 - ML dataset. It achieves the following results on the evaluation set:

Loss: 0.2666
Wer: 0.5349

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: 0.001
train_batch_size: 4
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 4.0
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
No log	0.41	200	5.4728	1.0757
No log	0.81	400	5.1274	1.0038
6.5037	1.22	600	0.6167	0.8131
6.5037	1.63	800	0.3284	0.5829
1.0482	2.03	1000	0.3169	0.5667
1.0482	2.44	1200	0.2876	0.5425
1.0482	2.85	1400	0.2847	0.5522
0.4314	3.25	1600	0.2746	0.5394
0.4314	3.66	1800	0.2698	0.5346

Framework versions

Transformers 4.38.0.dev0
Pytorch 2.1.2+cu121
Datasets 2.16.1
Tokenizers 0.15.1

simpragma/breeze-listen-w2v2-ml

breeze-listen-w2v2-ml

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

simpragma/
breeze-listen-w2v2-ml