Training Loss	Epoch	Step	Validation Loss
3.6463	0.05	500	4.7759
3.4654	0.1	1000	5.9053
3.4482	0.15	1500	4.4967
3.565	0.2	2000	5.9963
3.6668	0.25	2500	7.3841
3.6065	0.3	3000	5.0156
3.3743	0.35	3500	4.0016
3.3529	0.4	4000	7.0397
3.5418	0.45	4500	9.1284
3.4724	0.5	5000	5.0625
3.4167	0.55	5500	6.0408
3.4061	0.6	6000	7.1911
3.6455	0.65	6500	5.6523
3.5153	0.7	7000	5.8586
3.4019	0.75	7500	6.6155
3.4094	0.8	8000	6.0468
3.399	0.85	8500	6.7307
3.4732	0.9	9000	11.2534
3.4973	0.95	9500	8.8126
3.4901	1.0	10000	7.7330
3.4378	1.05	10500	8.1397
3.4239	1.1	11000	7.5238
3.4238	1.15	11500	10.0907
3.5335	1.2	12000	9.3069
3.4442	1.25	12500	9.1980
3.1866	1.3	13000	10.1322
3.2806	1.35	13500	9.0616
3.323	1.4	14000	9.7061
3.3219	1.45	14500	7.5160
3.5641	1.5	15000	10.6759
3.2667	1.55	15500	9.1428
3.4873	1.6	16000	10.4514
3.4092	1.65	16500	10.0229
3.4617	1.7	17000	9.6849
3.3726	1.75	17500	9.7335
3.2492	1.8	18000	9.0959
3.3322	1.85	18500	9.4717
3.3306	1.9	19000	10.2230
3.3026	1.95	19500	9.9560
3.2199	2.0	20000	9.6500

adamjweintraut/bart-finetuned-eli5_precomputed

bart-finetuned-eli5_precomputed