learning_rate: 0.0001
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 6
total_train_batch_size: 48
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
num_epochs: 15

Training Loss	Epoch	Step	Validation Loss
8.3295	1.0	107	0.8368
5.5907	2.0	214	0.7068
4.6364	3.0	321	0.6378
3.7652	4.0	428	0.5883
3.2332	5.0	535	0.5552
3.0329	6.0	642	0.5363
3.3107	7.0	749	0.5323
3.0447	8.0	856	0.5263
2.7618	9.0	963	0.5246
2.79	10.0	1070	0.5248
2.8944	11.0	1177	0.5242
2.9454	12.0	1284	0.5235
2.9518	13.0	1391	0.5234
3.0869	14.0	1498	0.5235
2.9532	14.8652	1590	0.5235

bustamiyusoef/DALPA_GER_3kSource_3kTarget

DALPA_GER_3kSource_3kTarget