wav2vec2-large-mms-1b-vi-kag – AI Model by Dracnacio | AlphaNeural AI

You can deploy this model and start earning money today!

Dracnacio/
wav2vec2-large-mms-1b-vi-kag

like

0

generated_from_trainer

facebook/mms-1b-all

Views

No views yet

wav2vec2-large-mms-1b-vi-kag

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

Loss: 0.2484
Wer: 0.2168

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: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 4
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.4347	0.2744	200	0.3215	0.2742
0.3992	0.5489	400	0.2968	0.2666
0.3398	0.8233	600	0.3041	0.2686
0.3506	1.0978	800	0.2813	0.2441
0.3331	1.3722	1000	0.2748	0.2394
0.3199	1.6467	1200	0.2738	0.2410
0.3153	1.9211	1400	0.2669	0.2344
0.3118	2.1955	1600	0.2612	0.2291
0.3059	2.4700	1800	0.2577	0.2313
0.2986	2.7444	2000	0.2570	0.2230
0.315	3.0189	2200	0.2543	0.2218
0.2949	3.2933	2400	0.2551	0.2239
0.2967	3.5678	2600	0.2497	0.2179
0.2956	3.8422	2800	0.2484	0.2168

Framework versions

Transformers 4.41.2
Pytorch 2.1.2+cu121
Datasets 2.21.0
Tokenizers 0.19.1