learning_rate: 0.0003
train_batch_size: 20
eval_batch_size: 20
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: 30

Training Loss	Epoch	Step	Validation Loss	Bleu1	Bleu2	Bleu3	Bleu4
15.8442	1.0	3	11.1246	0.0235	0.0	0.0	0.0
13.0661	2.0	6	9.3553	0.0373	0.0069	0.0	0.0
11.7048	3.0	9	8.0317	0.0320	0.0045	0.0	0.0
8.87	4.0	12	7.1382	0.0368	0.0088	0.0	0.0
11.0893	5.0	15	6.7905	0.0503	0.0150	0.0053	0.0
9.8787	6.0	18	6.5255	0.0643	0.0238	0.0109	0.0
9.8189	7.0	21	6.7007	0.0765	0.0289	0.0133	0.0
8.2022	8.0	24	6.2109	0.0867	0.0330	0.0134	0.0
8.5899	9.0	27	5.9520	0.0700	0.0239	0.0085	0.0
7.5305	10.0	30	5.5748	0.0667	0.0243	0.0123	0.0
7.0381	11.0	33	5.2219	0.0631	0.0204	0.0094	0.0054
6.675	12.0	36	4.8006	0.0613	0.0151	0.0076	0.0046
7.4134	13.0	39	4.3795	0.0661	0.0200	0.0090	0.0051
5.8722	14.0	42	3.9322	0.0940	0.0332	0.0165	0.0099
4.5875	15.0	45	3.5017	0.1155	0.0301	0.0136	0.0079
5.3675	16.0	48	3.1927	0.1203	0.0180	0.0	0.0
4.2999	17.0	51	2.8956	0.1320	0.0402	0.0201	0.0110
4.3349	18.0	54	2.7138	0.1057	0.0311	0.0148	0.0088
3.9688	19.0	57	2.5350	0.0745	0.0	0.0	0.0
4.2931	20.0	60	2.4138	0.0745	0.0	0.0	0.0
3.8427	21.0	63	2.3127	0.0745	0.0	0.0	0.0
3.2991	22.0	66	2.2054	0.0745	0.0	0.0	0.0
3.1351	23.0	69	2.1069	0.0745	0.0	0.0	0.0
3.023	24.0	72	2.0208	0.0755	0.0	0.0	0.0
3.4366	25.0	75	1.9500	0.1517	0.0725	0.0459	0.0272
2.7941	26.0	78	1.9068	0.2136	0.1135	0.0692	0.0370
2.9454	27.0	81	1.8419	0.2089	0.1113	0.0681	0.0365
2.6117	28.0	84	1.8775	0.2115	0.1122	0.0685	0.0367
2.6785	29.0	87	1.7772	0.2078	0.1086	0.0671	0.0361
2.7523	30.0	90	1.7819	0.2072	0.1079	0.0666	0.0359

devagonal/mt5-bleu4-durga-q1-clean

mt5-bleu4-durga-q1-clean