tinyllama-rephraser-lora

This model is a fine-tuned version of unsloth/tinyllama-bnb-4bit on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.6524

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 2e-05
• train_batch_size: 2
• eval_batch_size: 4
• seed: 3407
• gradient_accumulation_steps: 4
• total_train_batch_size: 8
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss
2.3576	0.01	1	2.4199
2.4431	0.02	2	2.4179
2.5987	0.02	3	2.4198
2.3902	0.03	4	2.4175
2.4699	0.04	5	2.4176
2.408	0.05	6	2.4171
2.4169	0.06	7	2.4192
2.4351	0.07	8	2.4169
2.3709	0.07	9	2.4181
2.4303	0.08	10	2.4174
2.3925	0.09	11	2.4162
2.4358	0.1	12	2.4150
2.5119	0.11	13	2.4158
2.4336	0.12	14	2.4139
2.3145	0.12	15	2.4137
2.3547	0.13	16	2.4139
2.4008	0.14	17	2.4124
2.3856	0.15	18	2.4107
2.4702	0.16	19	2.4101
2.4401	0.16	20	2.4101
2.4957	0.17	21	2.4074
2.4915	0.18	22	2.4044
2.3463	0.19	23	2.4051
2.2404	0.2	24	2.4044
2.469	0.21	25	2.4023
2.4707	0.21	26	2.4002
2.4167	0.22	27	2.4003
2.3213	0.23	28	2.3969
2.5036	0.24	29	2.3942
2.3594	0.25	30	2.3920
2.3971	0.26	31	2.3910
2.3863	0.26	32	2.3880
2.4845	0.27	33	2.3836
2.3076	0.28	34	2.3844
2.4448	0.29	35	2.3810
2.3576	0.3	36	2.3789
2.3279	0.3	37	2.3744
2.4572	0.31	38	2.3744
2.4527	0.32	39	2.3702
2.5135	0.33	40	2.3645
2.3704	0.34	41	2.3638
2.4071	0.35	42	2.3586
2.3059	0.35	43	2.3567
2.4828	0.36	44	2.3525
2.3812	0.37	45	2.3474
2.3066	0.38	46	2.3432
2.3644	0.39	47	2.3396
2.3855	0.4	48	2.3357
2.3533	0.4	49	2.3299
2.3486	0.41	50	2.3252
2.3527	0.42	51	2.3194
2.3593	0.43	52	2.3150
2.3743	0.44	53	2.3117
2.5021	0.44	54	2.3026
2.3785	0.45	55	2.2974
2.17	0.46	56	2.2931
2.2599	0.47	57	2.2851
2.2211	0.48	58	2.2794
2.2464	0.49	59	2.2716
2.2058	0.49	60	2.2622
2.3164	0.5	61	2.2560
2.3093	0.51	62	2.2445
2.2846	0.52	63	2.2353
2.1138	0.53	64	2.2271
2.3286	0.53	65	2.2170
2.1988	0.54	66	2.2077
2.2598	0.55	67	2.1968
2.2303	0.56	68	2.1880
2.2419	0.57	69	2.1790
2.2628	0.58	70	2.1689
2.1922	0.58	71	2.1573
2.2353	0.59	72	2.1498
2.2111	0.6	73	2.1376
2.1128	0.61	74	2.1271
2.2167	0.62	75	2.1184
2.1878	0.63	76	2.1085
2.1391	0.63	77	2.0950
2.1336	0.64	78	2.0818
2.1266	0.65	79	2.0730
1.9823	0.66	80	2.0634
2.1003	0.67	81	2.0490
2.0681	0.67	82	2.0353
2.1475	0.68	83	2.0218
1.996	0.69	84	2.0082
1.9981	0.7	85	1.9951
2.0693	0.71	86	1.9823
1.9524	0.72	87	1.9719
2.058	0.72	88	1.9587
1.9211	0.73	89	1.9455
1.9496	0.74	90	1.9311
1.9495	0.75	91	1.9200
2.0249	0.76	92	1.9062
1.9044	0.77	93	1.8940
1.9373	0.77	94	1.8817
1.8604	0.78	95	1.8675
1.8957	0.79	96	1.8584
1.8673	0.8	97	1.8471
1.9002	0.81	98	1.8337
1.9025	0.81	99	1.8226
1.8356	0.82	100	1.8099
1.7723	0.83	101	1.7994
1.7628	0.84	102	1.7902
1.7014	0.85	103	1.7788
1.7383	0.86	104	1.7678
1.7647	0.86	105	1.7581
1.7835	0.87	106	1.7466
1.7645	0.88	107	1.7367
1.7654	0.89	108	1.7267
1.8344	0.9	109	1.7173
1.6528	0.91	110	1.7068
1.676	0.91	111	1.6989
1.5894	0.92	112	1.6882
1.6154	0.93	113	1.6778
1.609	0.94	114	1.6697
1.6803	0.95	115	1.6592
1.6487	0.95	116	1.6484
1.6905	0.96	117	1.6403
1.6258	0.97	118	1.6300
1.5744	0.98	119	1.6189
1.4791	0.99	120	1.6088
1.6177	1.0	121	1.5975
1.582	1.0	122	1.5860
1.5378	1.01	123	1.5760
1.5691	1.02	124	1.5658
1.5387	1.03	125	1.5540
1.5527	1.04	126	1.5429
1.4642	1.05	127	1.5316
1.4867	1.05	128	1.5199
1.5204	1.06	129	1.5075
1.5997	1.07	130	1.4962
1.4419	1.08	131	1.4833
1.5799	1.09	132	1.4718
1.5103	1.09	133	1.4584
1.5444	1.1	134	1.4472
1.4835	1.11	135	1.4351
1.4326	1.12	136	1.4213
1.4079	1.13	137	1.4088
1.5206	1.14	138	1.3971
1.3868	1.14	139	1.3822
1.4778	1.15	140	1.3702
1.4627	1.16	141	1.3558
1.3555	1.17	142	1.3444
1.3143	1.18	143	1.3323
1.3754	1.19	144	1.3192
1.2488	1.19	145	1.3082
1.2821	1.2	146	1.2969
1.2804	1.21	147	1.2856
1.233	1.22	148	1.2747
1.3502	1.23	149	1.2633
1.2224	1.23	150	1.2536
1.199	1.24	151	1.2419
1.1749	1.25	152	1.2321
1.305	1.26	153	1.2220
1.1391	1.27	154	1.2100
1.3063	1.28	155	1.1990
1.2402	1.28	156	1.1878
1.1104	1.29	157	1.1772
1.24	1.3	158	1.1670
1.0549	1.31	159	1.1555
1.1417	1.32	160	1.1452
1.0898	1.33	161	1.1351
1.1035	1.33	162	1.1259
1.1088	1.34	163	1.1158
1.086	1.35	164	1.1069
1.15	1.36	165	1.0975
1.0394	1.37	166	1.0888
1.1268	1.37	167	1.0806
1.0803	1.38	168	1.0710
1.0198	1.39	169	1.0624
1.0765	1.4	170	1.0534
1.0318	1.41	171	1.0447
1.0098	1.42	172	1.0369
1.0013	1.42	173	1.0284
0.9773	1.43	174	1.0210
1.0233	1.44	175	1.0130
0.985	1.45	176	1.0053
0.9806	1.46	177	0.9983
1.0393	1.47	178	0.9906
0.9191	1.47	179	0.9844
0.9454	1.48	180	0.9781
0.9354	1.49	181	0.9710
0.9598	1.5	182	0.9658
1.0652	1.51	183	0.9584
0.9002	1.51	184	0.9538
0.9477	1.52	185	0.9472
0.9203	1.53	186	0.9414
0.8837	1.54	187	0.9361
0.91	1.55	188	0.9313
0.8616	1.56	189	0.9258
0.9201	1.56	190	0.9205
0.9408	1.57	191	0.9147
0.9274	1.58	192	0.9093
1.0009	1.59	193	0.9064
0.9202	1.6	194	0.9009
0.9886	1.6	195	0.8959
0.9289	1.61	196	0.8913
0.9603	1.62	197	0.8875
0.9138	1.63	198	0.8837
0.8794	1.64	199	0.8787
0.8315	1.65	200	0.8750
0.8745	1.65	201	0.8705
1.013	1.66	202	0.8673
0.8565	1.67	203	0.8634
0.9121	1.68	204	0.8596
0.7825	1.69	205	0.8558
0.9171	1.7	206	0.8524
0.7595	1.7	207	0.8488
0.8611	1.71	208	0.8453
0.7212	1.72	209	0.8421
0.8745	1.73	210	0.8389
0.93	1.74	211	0.8354
0.9183	1.74	212	0.8321
0.8482	1.75	213	0.8293
0.8155	1.76	214	0.8256
0.9113	1.77	215	0.8224
0.8009	1.78	216	0.8190
0.6555	1.79	217	0.8165
0.7727	1.79	218	0.8133
0.7987	1.8	219	0.8105
0.7794	1.81	220	0.8074
0.8248	1.82	221	0.8043
0.7818	1.83	222	0.8020
0.741	1.84	223	0.7995
0.6907	1.84	224	0.7969
0.789	1.85	225	0.7938
0.7101	1.86	226	0.7910
0.7178	1.87	227	0.7887
0.7109	1.88	228	0.7865
0.6699	1.88	229	0.7838
0.8443	1.89	230	0.7814
0.7397	1.9	231	0.7789
0.7888	1.91	232	0.7760
0.7725	1.92	233	0.7735
0.7797	1.93	234	0.7707
0.7988	1.93	235	0.7678
0.7548	1.94	236	0.7660
0.904	1.95	237	0.7631
0.8183	1.96	238	0.7616
0.8292	1.97	239	0.7582
0.7144	1.98	240	0.7561
0.753	1.98	241	0.7538
0.7629	1.99	242	0.7525
0.8713	2.0	243	0.7497
0.7355	2.01	244	0.7477
0.6998	2.02	245	0.7459
0.7567	2.02	246	0.7438
0.6594	2.03	247	0.7420
0.7124	2.04	248	0.7405
0.9188	2.05	249	0.7380
0.7406	2.06	250	0.7364
0.7091	2.07	251	0.7341
0.8144	2.07	252	0.7319
0.7122	2.08	253	0.7307
0.7504	2.09	254	0.7291
0.7409	2.1	255	0.7276
0.7844	2.11	256	0.7258
0.8328	2.12	257	0.7234
0.7149	2.12	258	0.7221
0.7063	2.13	259	0.7205
0.6629	2.14	260	0.7195
0.5896	2.15	261	0.7177
0.734	2.16	262	0.7165
0.7293	2.16	263	0.7157
0.6819	2.17	264	0.7142
0.6928	2.18	265	0.7133
0.6026	2.19	266	0.7119
0.6704	2.2	267	0.7114
0.7118	2.21	268	0.7099
0.8447	2.21	269	0.7084
0.6857	2.22	270	0.7075
0.7257	2.23	271	0.7066
0.6884	2.24	272	0.7058
0.5883	2.25	273	0.7047
0.6798	2.26	274	0.7036
0.6575	2.26	275	0.7024
0.627	2.27	276	0.7017
0.7029	2.28	277	0.7016
0.7248	2.29	278	0.7009
0.6947	2.3	279	0.6996
0.708	2.3	280	0.6991
0.5384	2.31	281	0.6981
0.5539	2.32	282	0.6975
0.6751	2.33	283	0.6962
0.5809	2.34	284	0.6957
0.7105	2.35	285	0.6952
0.735	2.35	286	0.6945
0.7564	2.36	287	0.6936
0.732	2.37	288	0.6925
0.6892	2.38	289	0.6919
0.6454	2.39	290	0.6910
0.6919	2.4	291	0.6901
0.6842	2.4	292	0.6893
0.6044	2.41	293	0.6889
0.5893	2.42	294	0.6885
0.7235	2.43	295	0.6875
0.7216	2.44	296	0.6873
0.7677	2.44	297	0.6865
0.5953	2.45	298	0.6862
0.8029	2.46	299	0.6853
0.6425	2.47	300	0.6846
0.5764	2.48	301	0.6846
0.7721	2.49	302	0.6831
0.7315	2.49	303	0.6831
0.6483	2.5	304	0.6829
0.8087	2.51	305	0.6825
0.6676	2.52	306	0.6816
0.6153	2.53	307	0.6813
0.6388	2.53	308	0.6812
0.6322	2.54	309	0.6803
0.5539	2.55	310	0.6803
0.6124	2.56	311	0.6796
0.6905	2.57	312	0.6791
0.6522	2.58	313	0.6782
0.5722	2.58	314	0.6784
0.6271	2.59	315	0.6776
0.6927	2.6	316	0.6783
0.733	2.61	317	0.6768
0.6622	2.62	318	0.6765
0.7042	2.63	319	0.6765
0.8197	2.63	320	0.6763
0.8398	2.64	321	0.6758
0.6703	2.65	322	0.6756
0.6722	2.66	323	0.6750
0.7457	2.67	324	0.6748
0.6385	2.67	325	0.6746
0.557	2.68	326	0.6743
0.6835	2.69	327	0.6739
0.6078	2.7	328	0.6735
0.8021	2.71	329	0.6733
0.5652	2.72	330	0.6732
0.7898	2.72	331	0.6723
0.5717	2.73	332	0.6720
0.6912	2.74	333	0.6718
0.641	2.75	334	0.6717
0.6551	2.76	335	0.6714
0.7743	2.77	336	0.6706
0.631	2.77	337	0.6710
0.6843	2.78	338	0.6703
0.6913	2.79	339	0.6701
0.6482	2.8	340	0.6697
0.6251	2.81	341	0.6696
0.6712	2.81	342	0.6694
0.6543	2.82	343	0.6693
0.7393	2.83	344	0.6687
0.7283	2.84	345	0.6686
0.673	2.85	346	0.6686
0.6263	2.86	347	0.6680
0.6574	2.86	348	0.6678
0.7178	2.87	349	0.6677
0.6941	2.88	350	0.6673
0.5781	2.89	351	0.6675
0.6024	2.9	352	0.6671
0.6324	2.91	353	0.6667
0.7445	2.91	354	0.6663
0.5899	2.92	355	0.6664
0.7318	2.93	356	0.6659
0.7341	2.94	357	0.6656
0.7439	2.95	358	0.6656
0.7061	2.95	359	0.6652
0.7121	2.96	360	0.6649
0.6754	2.97	361	0.6649
0.7367	2.98	362	0.6646
0.7033	2.99	363	0.6646
0.6652	3.0	364	0.6640
0.707	3.0	365	0.6639
0.5992	3.01	366	0.6636
0.6483	3.02	367	0.6633
0.8483	3.03	368	0.6623
0.7052	3.04	369	0.6628
0.7748	3.05	370	0.6624
0.7242	3.05	371	0.6621
0.7835	3.06	372	0.6621
0.6273	3.07	373	0.6621
0.6937	3.08	374	0.6617
0.7308	3.09	375	0.6615
0.6431	3.09	376	0.6613
0.6486	3.1	377	0.6612
0.6671	3.11	378	0.6613
0.6046	3.12	379	0.6605
0.5741	3.13	380	0.6605
0.6746	3.14	381	0.6606
0.6525	3.14	382	0.6604
0.6483	3.15	383	0.6602
0.6631	3.16	384	0.6602
0.5769	3.17	385	0.6603
0.6648	3.18	386	0.6596
0.6933	3.19	387	0.6592
0.6597	3.19	388	0.6596
0.5871	3.2	389	0.6596
0.5976	3.21	390	0.6593
0.6025	3.22	391	0.6591
0.7157	3.23	392	0.6588
0.6419	3.23	393	0.6587
0.5579	3.24	394	0.6589
0.7142	3.25	395	0.6588
0.5773	3.26	396	0.6581
0.5624	3.27	397	0.6583
0.6029	3.28	398	0.6579
0.6642	3.28	399	0.6582
0.7	3.29	400	0.6579
0.7918	3.3	401	0.6579
0.563	3.31	402	0.6577
0.7208	3.32	403	0.6575
0.6769	3.33	404	0.6570
0.7093	3.33	405	0.6571
0.5287	3.34	406	0.6570
0.5828	3.35	407	0.6572
0.5703	3.36	408	0.6566
0.6647	3.37	409	0.6566
0.6879	3.37	410	0.6568
0.7325	3.38	411	0.6566
0.6021	3.39	412	0.6565
0.6777	3.4	413	0.6565
0.6057	3.41	414	0.6560
0.5996	3.42	415	0.6558
0.6841	3.42	416	0.6556
0.6096	3.43	417	0.6557
0.6245	3.44	418	0.6559
0.664	3.45	419	0.6556
0.7183	3.46	420	0.6561
0.6449	3.47	421	0.6558
0.6497	3.47	422	0.6557
0.8151	3.48	423	0.6554
0.813	3.49	424	0.6552
0.6278	3.5	425	0.6553
0.6376	3.51	426	0.6556
0.697	3.51	427	0.6554
0.628	3.52	428	0.6550
0.7049	3.53	429	0.6553
0.6641	3.54	430	0.6549
0.6465	3.55	431	0.6552
0.7366	3.56	432	0.6550
0.6325	3.56	433	0.6545
0.5621	3.57	434	0.6550
0.5846	3.58	435	0.6553
0.6516	3.59	436	0.6551
0.7258	3.6	437	0.6546
0.6027	3.6	438	0.6547
0.5344	3.61	439	0.6549
0.6988	3.62	440	0.6546
0.6863	3.63	441	0.6548
0.627	3.64	442	0.6544
0.6353	3.65	443	0.6548
0.5361	3.65	444	0.6541
0.6774	3.66	445	0.6548
0.668	3.67	446	0.6546
0.544	3.68	447	0.6545
0.5683	3.69	448	0.6546
0.6955	3.7	449	0.6543
0.6316	3.7	450	0.6543
0.647	3.71	451	0.6544
0.6797	3.72	452	0.6541
0.6566	3.73	453	0.6541
0.6585	3.74	454	0.6544
0.6632	3.74	455	0.6541
0.5798	3.75	456	0.6540
0.6417	3.76	457	0.6540
0.706	3.77	458	0.6538
0.6709	3.78	459	0.6542
0.7047	3.79	460	0.6536
0.5466	3.79	461	0.6538
0.5479	3.8	462	0.6540
0.6476	3.81	463	0.6535
0.6584	3.82	464	0.6534
0.6515	3.83	465	0.6540
0.5812	3.84	466	0.6535
0.6339	3.84	467	0.6537
0.6521	3.85	468	0.6537
0.6451	3.86	469	0.6538
0.6655	3.87	470	0.6532
0.7017	3.88	471	0.6533
0.5794	3.88	472	0.6530
0.6485	3.89	473	0.6536
0.6723	3.9	474	0.6533
0.72	3.91	475	0.6534
0.6114	3.92	476	0.6535
0.596	3.93	477	0.6536
0.5961	3.93	478	0.6538
0.6629	3.94	479	0.6531
0.6682	3.95	480	0.6534
0.7007	3.96	481	0.6534
0.6594	3.97	482	0.6535
0.7607	3.98	483	0.6531
0.5735	3.98	484	0.6532
0.7111	3.99	485	0.6531
0.6498	4.0	486	0.6533
0.624	4.01	487	0.6529
0.7284	4.02	488	0.6535
0.5665	4.02	489	0.6531
0.6473	4.03	490	0.6534
0.614	4.04	491	0.6534
0.6663	4.05	492	0.6528
0.6309	4.06	493	0.6527
0.6926	4.07	494	0.6530
0.6112	4.07	495	0.6531
0.6879	4.08	496	0.6526
0.6939	4.09	497	0.6529
0.7551	4.1	498	0.6530
0.6085	4.11	499	0.6530
0.6741	4.12	500	0.6533
0.5913	4.12	501	0.6529
0.6337	4.13	502	0.6529
0.6061	4.14	503	0.6527
0.6511	4.15	504	0.6529
0.6358	4.16	505	0.6531
0.6537	4.16	506	0.6527
0.5757	4.17	507	0.6532
0.6143	4.18	508	0.6529
0.5723	4.19	509	0.6530
0.5647	4.2	510	0.6528
0.5878	4.21	511	0.6531
0.6119	4.21	512	0.6527
0.743	4.22	513	0.6530
0.6942	4.23	514	0.6528
0.5967	4.24	515	0.6527
0.6869	4.25	516	0.6530
0.62	4.26	517	0.6529
0.7596	4.26	518	0.6530
0.6483	4.27	519	0.6530
0.6449	4.28	520	0.6527
0.56	4.29	521	0.6529
0.673	4.3	522	0.6527
0.5469	4.3	523	0.6527
0.6084	4.31	524	0.6528
0.5118	4.32	525	0.6527
0.7318	4.33	526	0.6529
0.7787	4.34	527	0.6525
0.7177	4.35	528	0.6532
0.6294	4.35	529	0.6531
0.6758	4.36	530	0.6527
0.6679	4.37	531	0.6526
0.5373	4.38	532	0.6525
0.6655	4.39	533	0.6529
0.6738	4.4	534	0.6527
0.6849	4.4	535	0.6528
0.5894	4.41	536	0.6530
0.7516	4.42	537	0.6533
0.7417	4.43	538	0.6530
0.6239	4.44	539	0.6529
0.6543	4.44	540	0.6528
0.6201	4.45	541	0.6529
0.6552	4.46	542	0.6528
0.5647	4.47	543	0.6529
0.6798	4.48	544	0.6530
0.6152	4.49	545	0.6528
0.7099	4.49	546	0.6531
0.7073	4.5	547	0.6528
0.76	4.51	548	0.6531
0.7266	4.52	549	0.6526
0.7659	4.53	550	0.6527
0.7033	4.53	551	0.6532
0.6679	4.54	552	0.6534
0.5671	4.55	553	0.6533
0.6845	4.56	554	0.6527
0.655	4.57	555	0.6524
0.7154	4.58	556	0.6526
0.7778	4.58	557	0.6524
0.6404	4.59	558	0.6524
0.6133	4.6	559	0.6526
0.6241	4.61	560	0.6525
0.6255	4.62	561	0.6527
0.5877	4.63	562	0.6526
0.7624	4.63	563	0.6526
0.613	4.64	564	0.6522
0.6014	4.65	565	0.6524
0.6217	4.66	566	0.6525
0.5651	4.67	567	0.6525
0.7227	4.67	568	0.6526
0.6247	4.68	569	0.6525
0.6886	4.69	570	0.6524
0.6894	4.7	571	0.6524
0.6543	4.71	572	0.6525
0.5932	4.72	573	0.6522
0.6069	4.72	574	0.6523
0.614	4.73	575	0.6525
0.5748	4.74	576	0.6526
0.5907	4.75	577	0.6523
0.6707	4.76	578	0.6526
0.642	4.77	579	0.6525
0.6228	4.77	580	0.6522
0.6178	4.78	581	0.6525
0.5958	4.79	582	0.6528
0.6532	4.8	583	0.6527
0.5752	4.81	584	0.6526
0.7058	4.81	585	0.6525
0.642	4.82	586	0.6526
0.6599	4.83	587	0.6525
0.7673	4.84	588	0.6526
0.6626	4.85	589	0.6525
0.5326	4.86	590	0.6525
0.6512	4.86	591	0.6524
0.5914	4.87	592	0.6524
0.6415	4.88	593	0.6523
0.7693	4.89	594	0.6523
0.6389	4.9	595	0.6524
0.6151	4.91	596	0.6524
0.6561	4.91	597	0.6524
0.6443	4.92	598	0.6524
0.6596	4.93	599	0.6524
0.6413	4.94	600	0.6524
0.6235	4.95	601	0.6524
0.598	4.95	602	0.6524
0.7232	4.96	603	0.6524
0.6172	4.97	604	0.6524
0.7063	4.98	605	0.6524

Framework versions

• PEFT 0.9.0
• Transformers 4.38.2
• Pytorch 2.2.0+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2