This model is a fine-tuned version of martimfasantos/tinyllama-1.1b-chat-sft-qlora on the HuggingFaceH4/ultrafeedback_binarized dataset. It achieves the following results on the evaluation set:

Loss: 0.6084
Rewards/chosen: -1.0875
Rewards/rejected: -1.3916
Rewards/accuracies: 0.6580
Rewards/margins: 0.3041
Logps/rejected: -490.8393
Logps/chosen: -504.9714
Logits/rejected: -2.6096
Logits/chosen: -2.6425

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: 5e-06
train_batch_size: 4
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Rewards/chosen	Rewards/rejected	Rewards/accuracies	Rewards/margins	Logps/rejected	Logps/chosen	Logits/rejected	Logits/chosen
0.6921	0.03	100	0.6923	0.0160	0.0142	0.5645	0.0018	-350.2683	-394.6286	-2.7841	-2.8363
0.6894	0.05	200	0.6894	0.0433	0.0353	0.5920	0.0080	-348.1495	-391.8949	-2.7811	-2.8333
0.6815	0.08	300	0.6844	0.0806	0.0609	0.6025	0.0196	-345.5898	-388.1692	-2.7838	-2.8349
0.6869	0.1	400	0.6788	0.0607	0.0269	0.6125	0.0339	-348.9979	-390.1522	-2.7931	-2.8423
0.6744	0.13	500	0.6724	0.0243	-0.0249	0.6210	0.0492	-354.1764	-393.7983	-2.7889	-2.8371
0.6679	0.16	600	0.6625	-0.0566	-0.1346	0.6265	0.0780	-365.1402	-401.8826	-2.7709	-2.8179
0.637	0.18	700	0.6555	-0.2568	-0.3654	0.6290	0.1086	-388.2211	-421.9038	-2.7596	-2.8051
0.6166	0.21	800	0.6488	-0.3935	-0.5223	0.6320	0.1288	-403.9116	-435.5756	-2.7523	-2.7961
0.6335	0.24	900	0.6458	-0.4516	-0.6042	0.6380	0.1527	-412.1083	-441.3798	-2.7325	-2.7764
0.6286	0.26	1000	0.6406	-0.8692	-1.0442	0.625	0.1750	-456.1026	-483.1429	-2.7123	-2.7531
0.669	0.29	1100	0.6406	-0.3445	-0.4984	0.6365	0.1538	-401.5222	-430.6789	-2.6946	-2.7354
0.6723	0.31	1200	0.6358	-0.4619	-0.6430	0.6425	0.1811	-415.9841	-442.4163	-2.6701	-2.7077
0.605	0.34	1300	0.6297	-0.6894	-0.8903	0.6435	0.2009	-440.7144	-465.1627	-2.6764	-2.7122
0.6361	0.37	1400	0.6267	-0.7144	-0.9307	0.6505	0.2163	-444.7496	-467.6648	-2.6711	-2.7091
0.6085	0.39	1500	0.6213	-1.0532	-1.3084	0.6490	0.2552	-482.5256	-501.5469	-2.6435	-2.6797
0.6317	0.42	1600	0.6197	-1.1246	-1.3825	0.6490	0.2579	-489.9323	-508.6858	-2.6172	-2.6506
0.6702	0.44	1700	0.6182	-1.0036	-1.2644	0.6530	0.2609	-478.1268	-496.5815	-2.6407	-2.6762
0.5658	0.47	1800	0.6219	-1.3479	-1.6348	0.6445	0.2869	-515.1606	-531.0145	-2.5866	-2.6182
0.6039	0.5	1900	0.6154	-0.9014	-1.1716	0.6630	0.2702	-468.8458	-486.3656	-2.6376	-2.6742
0.6173	0.52	2000	0.6121	-1.1535	-1.4470	0.6575	0.2934	-496.3810	-511.5793	-2.6232	-2.6580
0.62	0.55	2100	0.6116	-1.1600	-1.4523	0.6650	0.2923	-496.9117	-512.2247	-2.6278	-2.6629
0.5957	0.58	2200	0.6132	-0.9592	-1.2431	0.6655	0.2839	-475.9958	-492.1489	-2.6317	-2.6674
0.6093	0.6	2300	0.6138	-1.0935	-1.3811	0.6625	0.2876	-489.7906	-505.5738	-2.6283	-2.6619
0.6009	0.63	2400	0.6108	-1.0519	-1.3479	0.6610	0.2959	-486.4695	-501.4175	-2.6088	-2.6432
0.5988	0.65	2500	0.6108	-1.0427	-1.3419	0.6590	0.2992	-485.8730	-500.4982	-2.6143	-2.6477
0.606	0.68	2600	0.6112	-1.0188	-1.3192	0.6545	0.3003	-483.6013	-498.1078	-2.5974	-2.6304
0.6118	0.71	2700	0.6106	-1.0808	-1.3857	0.6595	0.3049	-490.2562	-504.3045	-2.5945	-2.6274
0.6134	0.73	2800	0.6096	-1.1549	-1.4635	0.6585	0.3086	-498.0366	-511.7179	-2.5978	-2.6303
0.6159	0.76	2900	0.6097	-1.0550	-1.3509	0.6585	0.2959	-486.7739	-501.7256	-2.6175	-2.6500
0.5815	0.79	3000	0.6091	-1.1025	-1.4048	0.6570	0.3023	-492.1650	-506.4727	-2.6089	-2.6420
0.5885	0.81	3100	0.6089	-1.0977	-1.4006	0.6595	0.3029	-491.7444	-505.9960	-2.6001	-2.6337
0.6074	0.84	3200	0.6086	-1.0982	-1.4029	0.6605	0.3047	-491.9724	-506.0455	-2.6056	-2.6388
0.5981	0.86	3300	0.6087	-1.0853	-1.3881	0.6610	0.3028	-490.4915	-504.7571	-2.6117	-2.6442
0.5944	0.89	3400	0.6087	-1.0897	-1.3931	0.6580	0.3034	-490.9887	-505.1947	-2.6026	-2.6360
0.5979	0.92	3500	0.6085	-1.0922	-1.3962	0.6595	0.3040	-491.3070	-505.4438	-2.6136	-2.6460
0.6154	0.94	3600	0.6086	-1.0905	-1.3946	0.6595	0.3040	-491.1413	-505.2781	-2.6066	-2.6397
0.6053	0.97	3700	0.6086	-1.0907	-1.3946	0.6550	0.3039	-491.1405	-505.2943	-2.6094	-2.6423
0.602	0.99	3800	0.6085	-1.0876	-1.3914	0.6580	0.3038	-490.8211	-504.9807	-2.6096	-2.6425

Framework versions

PEFT 0.7.1
Transformers 4.39.3
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.15.2

martimfasantos/tinyllama-1.1b-chat-dpo-qlora

tinyllama-1.1b-chat-dpo-qlora

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

martimfasantos/
tinyllama-1.1b-chat-dpo-qlora