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abatpool/mal-mms

sourceHugging Facecc-by-nc-4.0updated 2y agoView on Hugging Face

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mal-mms

This model is a fine-tuned version of facebook/mms-1b-fl102 on the commonvoice17_0 dataset. It achieves the following results on the evaluation set:

—Loss: 0.3051
—Wer: 0.5393

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
—trainbatchsize: 32
—evalbatchsize: 8
—seed: 42
—optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
—lrschedulertype: linear
—lrschedulerwarmup_steps: 100
—num_epochs: 25
—mixedprecisiontraining: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
8.748	1.5625	100	0.4114	0.6370
0.4627	3.125	200	0.3346	0.6006
0.3883	4.6875	300	0.3143	0.5725
0.3596	6.25	400	0.3133	0.5709
0.3294	7.8125	500	0.3069	0.5603
0.3078	9.375	600	0.3073	0.5516
0.2881	10.9375	700	0.3110	0.5522
0.2755	12.5	800	0.3041	0.5519
0.2627	14.0625	900	0.3163	0.5467
0.245	15.625	1000	0.3009	0.5432
0.2303	17.1875	1100	0.3074	0.5374
0.2233	18.75	1200	0.3123	0.5413
0.2142	20.3125	1300	0.3123	0.5397
0.2125	21.875	1400	0.3088	0.5403
0.2025	23.4375	1500	0.3055	0.5416
0.2072	25.0	1600	0.3051	0.5393

Framework versions

—Transformers 4.46.0.dev0
—Pytorch 2.4.0+cu121
—Datasets 3.0.1
—Tokenizers 0.20.1