This model is a fine-tuned version of facebook/mms-1b-all on the jssaluja/rajinder_singh_corrected, hustler007/training_bhai_sahib_singh_canada_sehaj_paath, hustler007/training_bhai_jagtar_singh_jachak_sehaj_paath, hustler007/training_bhai_gurpreet_singh_nalvi_sehaj_paath, hustler007/training_bhai_sarwan_singh_sehaj_paath, hustler007/training_parminder_singh_australia_sehaj_paath_kirtan, hustler007/training_akashvani_jalandhar_radio_doctor, hustler007/training_jail_chittian, hustler007/training_sachi_sakhi_sirdar_kapur_singh, hustler007/training_rangle_sajjan_akj_audiobook, hustler007/training_jsk_talks_divine_talk, hustler007/training_bhai_harpal_singh_zafarnama_katha, hustler007/training_bhai_simranjeet_singh_tohana_special_talk, hustler007/training_rangle_sajjan_gurbani_audiobook, hustler007/training_smtv_podcast_simranjot_makkar, hustler007/training_bijay_singh, hustler007/training_khalas_podcast_harsharan_kaur, hustler007/training_bhai_pinderpal_singh_salok_vaara_te_vadeek, hustler007/training_satwant_kaur, hustler007/training_sikh_siyasat_diaspora_representatives, hustler007/training_sikh_siyasat_gurmeet_singh, hustler007/training_wikimedia_punjabi_audiobooks, hustler007/training_hum_hindu_nahin_kahn_singh_nabha, hustler007/training_heer_waris_shah, hustler007/training_bhai_pinderpal_singh_jaap_sahib, hustler007/training_sarbat_media_podcast, hustler007/training_sikh_siyasat_human_rights, hustler007/training_smtv_round_table, hustler007/training_discover_punjab_exclusive_stories, hustler007/training_bhai_sewa_singh_tarmala_akath_katha, hustler007/training_jhuthe_police_mukable_di_dastan, hustler007/training_gurmat_films_guru_nanak_sakhiyan, hustler007/training_maskeen_ji_full_katha, hustler007/training_punjabi_chapters_khalsa_raj, hustler007/training_mehmi_movies_punjabi_short_films, hustler007/training_tuhituhi_pinderpal_singh_katha, hustler007/training_gurmat_elite_discover_sikhism, hustler007/training_gyandasagar_shorts, hustler007/training_chaupal_chal_mera_putt_3, hustler007/training_chaupal_pardhan, hustler007/training_lokdhun_punjabi_latest_movies, hustler007/training_rajkaregakhalsa_shorts, hustler007/training_jaanbaaz_rakha_ar_darshi, hustler007/training_safar_with_nimrat_kaur, hustler007/training_sikh_siyasat_dr_kanwaljit_singh 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
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 15
mixed_precision_training: 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