learning_rate: 1e-05
train_batch_size: 16
eval_batch_size: 4
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
training_steps: 1000
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Bleu
10.1923	12.5	50	7.8012	0.0
7.0388	25.0	100	4.9095	0.0023
4.1866	37.5	150	3.0521	0.0276
3.1409	50.0	200	2.4410	0.0653
2.581	62.5	250	2.1347	0.0795
2.2369	75.0	300	2.0097	0.0765
2.171	87.5	350	1.9385	0.0637
2.0371	100.0	400	1.8743	0.0907
1.9672	112.5	450	1.8273	0.0943
1.9463	125.0	500	1.7789	0.1028
1.8821	137.5	550	1.7346	0.1137
1.8424	150.0	600	1.7088	0.1208
1.836	162.5	650	1.6618	0.1470
1.757	175.0	700	1.6311	0.1347
1.7532	187.5	750	1.6137	0.1561
1.8539	200.0	800	1.5977	0.1184
1.7176	212.5	850	1.5758	0.1205
1.6944	225.0	900	1.5604	0.1396
1.7136	237.5	950	1.5521	0.1562
1.7354	250.0	1000	1.5449	0.1562

Marialab/finetuned-seamless-m4T-large-1000-step

Finetuned seamless-m4t-large for darija speech translation