Training Loss	Epoch	Step	Validation Loss
3.5583	0.05	10	2.3912
2.5255	0.11	20	2.0221
2.1546	0.16	30	1.8584
2.0147	0.21	40	1.7538
1.9291	0.27	50	1.6817
1.8566	0.32	60	1.6424
1.8325	0.37	70	1.6027
1.7709	0.43	80	1.5801
1.7153	0.48	90	1.5569
1.6983	0.53	100	1.5337
1.6936	0.59	110	1.5292
1.6254	0.64	120	1.5039
1.629	0.69	130	1.4861
1.6537	0.75	140	1.4684
1.6449	0.8	150	1.4621
1.5916	0.85	160	1.4497
1.5764	0.91	170	1.4385
1.5899	0.96	180	1.4406
1.5556	1.01	190	1.4307
1.4869	1.07	200	1.4263
1.482	1.12	210	1.4156
1.486	1.17	220	1.4109
1.4407	1.23	230	1.4092
1.4183	1.28	240	1.4010
1.4226	1.33	250	1.3988
1.4611	1.39	260	1.3917
1.4823	1.44	270	1.3881
1.4877	1.49	280	1.3800
1.464	1.55	290	1.3799
1.4327	1.6	300	1.3712
1.4189	1.65	310	1.3725
1.495	1.71	320	1.3649
1.387	1.76	330	1.3640
1.4308	1.81	340	1.3595
1.4045	1.87	350	1.3547
1.4227	1.92	360	1.3549
1.444	1.97	370	1.3487
1.3747	2.03	380	1.3467
1.3504	2.08	390	1.3530
1.3493	2.13	400	1.3438
1.3099	2.19	410	1.3494
1.3484	2.24	420	1.3374
1.3541	2.29	430	1.3343
1.3044	2.35	440	1.3383
1.3457	2.4	450	1.3373
1.3017	2.45	460	1.3291
1.2956	2.51	470	1.3289
1.322	2.56	480	1.3300
1.3219	2.61	490	1.3211
1.3026	2.67	500	1.3254
1.3183	2.72	510	1.3191
1.2709	2.77	520	1.3160
1.303	2.83	530	1.3141
1.2857	2.88	540	1.3189
1.3126	2.93	550	1.3082
1.3053	2.99	560	1.3143

aruca/pegasus_x-meeting-summarizer-gpt3.5

pegasus_x-meeting-summarizer-gpt3.5