learning_rate: 2e-05
train_batch_size: 64
eval_batch_size: 64
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
num_epochs: 15
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
No log	1.0	219	2.3885	0.0114	18.7877
No log	2.0	438	2.2908	0.0849	18.544
2.6058	3.0	657	2.2299	0.1009	18.4923
2.6058	4.0	876	2.1865	0.1334	18.5091
2.3958	5.0	1095	2.1510	0.1479	18.4726
2.3958	6.0	1314	2.1218	0.1947	18.4471
2.3164	7.0	1533	2.0984	0.2254	18.4531
2.3164	8.0	1752	2.0793	0.2388	18.4211
2.3164	9.0	1971	2.0641	0.2387	18.4614
2.2674	10.0	2190	2.0523	0.2476	18.4463
2.2674	11.0	2409	2.0427	0.2485	18.4343
2.2366	12.0	2628	2.0353	0.2555	18.4383
2.2366	13.0	2847	2.0302	0.2561	18.4394
2.2177	14.0	3066	2.0273	0.2597	18.4366
2.2177	15.0	3285	2.0262	0.2611	18.4414

Goshective/opus_books_model_english

opus_books_model_english