Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
No log	1.0	282	2.0555	16.8117	26.9573
2.3228	2.0	564	1.9791	18.207	26.754
2.3228	3.0	846	1.9340	19.2206	26.6513
2.104	4.0	1128	1.8999	20.0802	26.5473
2.104	5.0	1410	1.8741	20.9222	26.4633
1.9952	6.0	1692	1.8511	21.3	26.4547
1.9952	7.0	1974	1.8361	21.9444	26.5227
1.9032	8.0	2256	1.8191	22.224	26.168
1.8342	9.0	2538	1.8074	22.7097	26.1573
1.8342	10.0	2820	1.7972	23.0299	26.2373
1.7718	11.0	3102	1.7898	23.5173	26.0447
1.7718	12.0	3384	1.7833	23.7157	26.0073
1.7268	13.0	3666	1.7785	23.8523	25.742
1.7268	14.0	3948	1.7725	23.979	25.88
1.6822	15.0	4230	1.7686	24.2126	25.8347
1.6386	16.0	4512	1.7639	24.4612	25.786
1.6386	17.0	4794	1.7605	24.6716	25.828
1.6047	18.0	5076	1.7549	24.9392	25.6493
1.6047	19.0	5358	1.7548	24.8965	25.6527
1.5778	20.0	5640	1.7537	24.9908	25.7827
1.5778	21.0	5922	1.7498	25.1397	25.6707
1.5413	22.0	6204	1.7472	25.2764	25.7373
1.5413	23.0	6486	1.7468	25.3103	25.6927
1.5249	24.0	6768	1.7471	25.3128	25.698
1.5052	25.0	7050	1.7449	25.4046	25.6813
1.5052	26.0	7332	1.7444	25.5513	25.7833
1.4825	27.0	7614	1.7448	25.4756	25.632
1.4825	28.0	7896	1.7432	25.6046	25.658
1.4665	29.0	8178	1.7422	25.6138	25.6907
1.4665	30.0	8460	1.7420	25.7196	25.7
1.4508	31.0	8742	1.7420	25.8684	25.618
1.4394	32.0	9024	1.7420	25.8188	25.6007
1.4394	33.0	9306	1.7417	25.9295	25.6113
1.4318	34.0	9588	1.7421	25.9842	25.614
1.4318	35.0	9870	1.7408	26.1045	25.5933
1.4244	36.0	10152	1.7409	26.0496	25.6327
1.4244	37.0	10434	1.7417	26.0595	25.6347
1.4139	38.0	10716	1.7420	26.0515	25.6047
1.4139	39.0	10998	1.7417	26.0727	25.616
1.4135	40.0	11280	1.7418	26.0557	25.6033

din0s/t5-base-finetuned-it-to-en

t5-base-finetuned-it-to-en