learning_rate: 2e-05
train_batch_size: 24
eval_batch_size: 24
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: 500
training_steps: 10000
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
2.1194	0.2	500	1.8368	26.7617	13.59
1.9481	0.4	1000	1.8082	26.9303	13.562
1.9398	0.6	1500	1.7980	26.9162	13.467
1.9521	0.8	2000	1.7925	26.9365	13.5355
1.9478	1.0	2500	1.7894	27.1345	13.5425
1.9272	1.2	3000	1.7871	27.4766	13.501
1.8803	1.4	3500	1.7809	27.106	13.5995
1.911	1.6	4000	1.7781	27.1273	13.5465
1.9052	1.8	4500	1.7756	26.9803	13.554
1.9043	2.0	5000	1.7742	27.0919	13.5305
1.8904	2.2	5500	1.7742	26.9754	13.4635
1.8951	2.4	6000	1.7727	26.9621	13.529
1.8741	2.6	6500	1.7727	26.991	13.4795
1.9037	2.8	7000	1.7716	26.9663	13.5065
1.8931	3.0	7500	1.7716	26.8411	13.54
1.925	3.2	8000	1.7707	26.8684	13.5635
1.8847	3.4	8500	1.7708	26.892	13.5185
1.8693	3.6	9000	1.7706	26.8667	13.5075
1.9089	3.8	9500	1.7705	26.8321	13.5285
1.8638	4.0	10000	1.7705	26.8378	13.5315

Hamzassami/finetuned_helsinki_peft_model__en_to_ar

finetuned_helsinki_peft_model__en_to_ar