Training Loss	Epoch	Step	Validation Loss
5.0291	0.96	13	4.6705
4.7952	1.96	26	4.4547
4.5759	2.96	39	4.3201
4.4032	3.96	52	4.2451
4.269	4.96	65	4.1911
4.143	5.96	78	4.1577
4.0229	6.96	91	4.1306
3.9047	7.96	104	4.1165
3.7886	8.96	117	4.1114
3.6666	9.96	130	4.1109
3.539	10.96	143	4.1201
3.4117	11.96	156	4.1374
3.272	12.96	169	4.1538
3.1283	13.96	182	4.1876
2.9728	14.96	195	4.2226
2.816	15.96	208	4.2695
2.6475	16.96	221	4.3106
2.4765	17.96	234	4.3678
2.302	18.96	247	4.4249
2.1257	19.96	260	4.4908
1.9537	20.96	273	4.5664
1.7834	21.96	286	4.6324
1.6177	22.96	299	4.6944
1.4573	23.96	312	4.7880
1.3057	24.96	325	4.8843
1.1652	25.96	338	4.9760
1.0341	26.96	351	5.0612
0.9101	27.96	364	5.1714
0.8017	28.96	377	5.2702
0.706	29.96	390	5.3530
0.6194	30.96	403	5.4535
0.5436	31.96	416	5.5373
0.4816	32.96	429	5.6153
0.4309	33.96	442	5.7014
0.3899	34.96	455	5.7749
0.3544	35.96	468	5.8430
0.3236	36.96	481	5.9237
0.3005	37.96	494	5.9824
0.2804	38.96	507	6.0264
0.263	39.96	520	6.0797
0.2513	40.96	533	6.1285
0.2376	41.96	546	6.1900
0.2264	42.96	559	6.2212
0.2183	43.96	572	6.2812
0.2104	44.96	585	6.3079
0.203	45.96	598	6.3501
0.1964	46.96	611	6.3730
0.1912	47.96	624	6.4190
0.1854	48.96	637	6.4598
0.1817	49.96	650	6.4618
0.1792	50.96	663	6.4914
0.1748	51.96	676	6.5385
0.1732	52.96	689	6.5689
0.1689	53.96	702	6.5761
0.1672	54.96	715	6.5775
0.1657	55.96	728	6.6362
0.1625	56.96	741	6.6573
0.1611	57.96	754	6.7019
0.1588	58.96	767	6.6602
0.1573	59.96	780	6.7015
0.1547	60.96	793	6.7323
0.1542	61.96	806	6.7368
0.1538	62.96	819	6.7704
0.1513	63.96	832	6.7963
0.1504	64.96	845	6.7988
0.1506	65.96	858	6.8386
0.1497	66.96	871	6.8039
0.15	67.96	884	6.8126
0.1497	68.96	897	6.8858
0.143	69.96	910	6.8331

ser-mei/gpt-finetuning-cervantes

gpt-finetuning-cervantes