Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
No log	1.0	125	3.0010	2.7294	56.4513
No log	2.0	250	2.8999	2.3228	81.4993
No log	3.0	375	2.8281	2.3065	92.3353
3.3202	4.0	500	2.7722	2.5982	91.8093
3.3202	5.0	625	2.7254	2.9279	89.0907
3.3202	6.0	750	2.6839	3.0747	89.2827
3.3202	7.0	875	2.6470	3.207	87.948
3.0355	8.0	1000	2.6132	3.355	85.2487
3.0355	9.0	1125	2.5835	3.8401	80.578
3.0355	10.0	1250	2.5552	4.2905	75.818
3.0355	11.0	1375	2.5323	4.3866	75.2433
2.8903	12.0	1500	2.5079	4.5687	74.906
2.8903	13.0	1625	2.4881	4.7844	71.5773
2.8903	14.0	1750	2.4668	4.876	71.68
2.8903	15.0	1875	2.4485	5.1292	70.118
2.7891	16.0	2000	2.4322	5.3297	68.894
2.7891	17.0	2125	2.4161	5.555	68.2293
2.7891	18.0	2250	2.4010	5.7113	67.2907
2.7891	19.0	2375	2.3892	5.9105	66.6287
2.713	20.0	2500	2.3756	6.0057	66.112
2.713	21.0	2625	2.3643	6.3118	64.6193
2.713	22.0	2750	2.3533	6.476	64.31
2.713	23.0	2875	2.3432	6.7102	63.5467
2.6584	24.0	3000	2.3342	6.7604	63.6567
2.6584	25.0	3125	2.3253	6.8418	63.6573
2.6584	26.0	3250	2.3180	6.9165	63.5893
2.6584	27.0	3375	2.3120	7.0217	63.1033
2.616	28.0	3500	2.3056	6.9148	63.598
2.616	29.0	3625	2.2987	6.9961	63.6267
2.616	30.0	3750	2.2935	7.2238	62.8373
2.616	31.0	3875	2.2892	7.1906	62.7793
2.587	32.0	4000	2.2849	7.2052	63.126
2.587	33.0	4125	2.2815	7.3272	62.526
2.587	34.0	4250	2.2782	7.3603	62.4313
2.587	35.0	4375	2.2756	7.3072	62.6307
2.5673	36.0	4500	2.2737	7.3586	62.1633
2.5673	37.0	4625	2.2718	7.3485	62.358
2.5673	38.0	4750	2.2707	7.3406	62.298
2.5673	39.0	4875	2.2700	7.3233	62.42
2.5591	40.0	5000	2.2698	7.3298	62.3753

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

t5-small-finetuned-en-to-it