Modelpublic

jssaluja/fb-mms-1b-punjabi-ccer-train-113953-epochs-15-test-1569

sourceHugging Facecc-by-nc-4.0updated 1mo agoView on Hugging Face

0likes155downloads

Model Card

jssaluja/fb-mms-1b-punjabi-ccer-train-113953-epochs-15-test-1569

This model is a fine-tuned version of facebook/mms-1b-all on the jssaluja/rajindersinghcorrected, hustler007/trainingbhaisahibsinghcanadasehajpaath, hustler007/trainingbhaijagtarsinghjachaksehajpaath, hustler007/trainingbhaigurpreetsinghnalvisehajpaath, hustler007/trainingbhaisarwansinghsehajpaath, hustler007/trainingparmindersinghaustraliasehajpaathkirtan, hustler007/trainingakashvanijalandharradiodoctor, hustler007/trainingjailchittian, hustler007/trainingsachisakhisirdarkapursingh, hustler007/trainingranglesajjanakjaudiobook, hustler007/trainingjsktalksdivinetalk, hustler007/trainingbhaiharpalsinghzafarnamakatha, hustler007/trainingbhaisimranjeetsinghtohanaspecialtalk, hustler007/trainingranglesajjangurbaniaudiobook, hustler007/trainingsmtvpodcastsimranjotmakkar, hustler007/trainingbijaysingh, hustler007/trainingkhalaspodcastharsharankaur, hustler007/trainingbhaipinderpalsinghsalokvaaratevadeek, hustler007/trainingsatwantkaur, hustler007/trainingsikhsiyasatdiasporarepresentatives, hustler007/trainingsikhsiyasatgurmeetsingh, hustler007/trainingwikimediapunjabiaudiobooks, hustler007/traininghumhindunahinkahnsinghnabha, hustler007/trainingheerwarisshah, hustler007/trainingbhaipinderpalsinghjaapsahib, hustler007/trainingsarbatmediapodcast, hustler007/trainingsikhsiyasathumanrights, hustler007/trainingsmtvroundtable, hustler007/trainingdiscoverpunjabexclusivestories, hustler007/trainingbhaisewasinghtarmalaakathkatha, hustler007/trainingjhuthepolicemukabledidastan, hustler007/traininggurmatfilmsgurunanaksakhiyan, hustler007/trainingmaskeenjifullkatha, hustler007/trainingpunjabichapterskhalsaraj, hustler007/trainingmehmimoviespunjabishortfilms, hustler007/trainingtuhituhipinderpalsinghkatha, hustler007/traininggurmatelitediscoversikhism, hustler007/traininggyandasagarshorts, hustler007/trainingchaupalchalmeraputt3, hustler007/trainingchaupalpardhan, hustler007/traininglokdhunpunjabilatestmovies, hustler007/trainingrajkaregakhalsashorts, hustler007/trainingjaanbaazrakhaardarshi, hustler007/trainingsafarwithnimratkaur, hustler007/trainingsikhsiyasatdrkanwaljitsingh dataset. It achieves the following results on the evaluation set:

—Loss: 0.2574
—Wer: 0.3182
—Wil: 0.5094
—Mer: 0.3137
—Cer: 0.0813
—Ncer: 0.0337
—Ccer: 0.0873

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: 16
—evalbatchsize: 8
—seed: 42
—optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
—lrschedulertype: linear
—num_epochs: 15
—mixedprecisiontraining: Native AMP

Training results

(table generated directly from `trainer.state.log_history`, keyed by metric name -- avoids a transformers model-card column-ordering bug seen in earlier runs)

Training Loss	Epoch	Step	Ccer	Cer	Validation Loss	Mer	Ncer	Wer	Wil
0.4946	1.0	7122	0.1301	0.1204	0.3874	0.4406	0.0499	0.4623	0.6687
0.2746	2.0	14244	0.1038	0.0986	0.3080	0.3741	0.0423	0.3877	0.5873
0.2515	3.0	21366	0.1074	0.0998	0.3296	0.3773	0.0436	0.3840	0.5928
0.2367	4.0	28488	0.0965	0.0907	0.2843	0.3488	0.0379	0.3543	0.5565
0.2221	5.0	35610	0.0966	0.0912	0.2813	0.3505	0.0382	0.3563	0.5571
0.2116	6.0	42732	0.0958	0.0922	0.2887	0.3596	0.0369	0.3641	0.5641
0.2020	7.0	49854	0.0929	0.0857	0.2767	0.3258	0.0357	0.3327	0.5280
0.1941	8.0	56976	0.0903	0.0844	0.2579	0.3317	0.0356	0.3358	0.5333
0.1867	9.0	64098	0.0915	0.0849	0.2682	0.3243	0.0346	0.3301	0.5247
0.1811	10.0	71220	0.0914	0.0846	0.2674	0.3263	0.0344	0.3307	0.5269
0.1744	11.0	78342	0.0916	0.0850	0.2674	0.3244	0.0352	0.3296	0.5244
0.1677	12.0	85464	0.0888	0.0817	0.2601	0.3132	0.0327	0.3177	0.5105
0.1627	13.0	92586	0.0902	0.0828	0.2663	0.3166	0.0348	0.3222	0.5155
0.1583	14.0	99708	0.0873	0.0813	0.2574	0.3137	0.0337	0.3182	0.5094
0.1542	15.0	106830	0.0873	0.0813	0.2574	0.3137	0.0337	0.3182	0.5094

Framework versions

—Transformers 4.51.3
—Pytorch 2.6.0+cu124
—Datasets 3.6.0
—Tokenizers 0.21.4