Llama-3-Base-8B

fenguhao/Llama-3-Base-8B

Llama-3-Base-8B is a text generation model from fenguhao. Use it when you need the model to write or continue text. It is set up for transformers.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Text Generation
Library: transformers
Model type: llama
Access: Public
Created: Jul 10, 2024
Updated: Jul 10, 2024
SHA: cb85392a

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Base models

princeton-nlp/Llama-3-Base-8B-SFT

Datasets

HuggingFaceH4/ultrafeedback_binarized

Model card

From the Hugging Face model README

Llama-3-Base-8B

This model is a fine-tuned version of princeton-nlp/Llama-3-Base-8B-SFT on the HuggingFaceH4/ultrafeedback_binarized dataset. It achieves the following results on the evaluation set:

Loss: 0.6285
Rewards/chosen: 0.5979
Rewards/rejected: 0.1801
Rewards/accuracies: 0.6620
Rewards/margins: 0.4178
Logps/rejected: -2212.5046
Logps/chosen: -2612.9824
Logits/rejected: -1.3033
Logits/chosen: -1.3358

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: 1e-06
train_batch_size: 2
eval_batch_size: 4
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 2
total_train_batch_size: 16
total_eval_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
0.6694	0.03	100	0.6733	0.4668	0.3687	0.5500	0.0980	-2193.6436	-2626.0984	-1.2047	-1.2463
0.6496	0.05	200	0.6497	0.8935	0.6578	0.6040	0.2357	-2164.7385	-2583.4270	-1.1621	-1.2030
0.6358	0.08	300	0.6672	0.6703	0.4436	0.5900	0.2266	-2186.1528	-2605.7471	-1.2202	-1.2617
0.6783	0.1	400	0.7144	0.2834	0.0925	0.5680	0.1909	-2221.2676	-2644.4390	-1.3598	-1.4017
0.751	0.13	500	0.6889	1.3453	0.9758	0.6020	0.3696	-2132.9402	-2538.2405	-1.4750	-1.5419
0.6921	0.16	600	0.6644	0.8464	0.5451	0.6220	0.3014	-2176.0090	-2588.1318	-1.2841	-1.3381
0.6437	0.18	700	0.6724	0.8250	0.4796	0.6420	0.3454	-2182.5566	-2590.2764	-1.4526	-1.4817
0.8109	0.21	800	0.6655	1.1490	0.7473	0.6380	0.4017	-2155.7832	-2557.8708	-1.5267	-1.5761
0.6725	0.24	900	0.6836	1.4258	0.9989	0.6160	0.4269	-2130.6240	-2530.1914	-1.4486	-1.4910
0.7027	0.26	1000	0.6690	0.8152	0.4729	0.6260	0.3424	-2183.2278	-2591.2505	-1.5095	-1.5565
0.6421	0.29	1100	0.6513	0.5281	0.1941	0.6640	0.3340	-2211.1040	-2619.9661	-1.5382	-1.5785
0.6217	0.31	1200	0.6436	0.7372	0.3396	0.6460	0.3976	-2196.5581	-2599.0544	-1.6345	-1.6765
0.7365	0.34	1300	0.6400	0.9183	0.5227	0.6240	0.3956	-2178.2437	-2580.9446	-1.5597	-1.6009
0.7057	0.37	1400	0.6468	0.9514	0.5619	0.6140	0.3895	-2174.3254	-2577.6377	-1.6716	-1.7117
0.6396	0.39	1500	0.6498	0.9546	0.5405	0.6400	0.4141	-2176.4675	-2577.3193	-1.6244	-1.6600
0.5835	0.42	1600	0.6488	0.9504	0.5356	0.6480	0.4148	-2176.9568	-2577.7402	-1.6255	-1.6706
0.629	0.44	1700	0.6501	1.2484	0.8056	0.6100	0.4428	-2149.9568	-2547.9316	-1.5737	-1.6192
0.6495	0.47	1800	0.6440	1.2029	0.7629	0.6280	0.4400	-2154.2307	-2552.4846	-1.4589	-1.4973
0.6465	0.5	1900	0.6641	0.2111	-0.0941	0.6280	0.3052	-2239.9255	-2651.6641	-1.4961	-1.5323
0.6866	0.52	2000	0.6480	0.5747	0.1977	0.6600	0.3770	-2210.75	-2615.3054	-1.4509	-1.4934
0.6441	0.55	2100	0.6358	0.8809	0.4502	0.6480	0.4307	-2185.4985	-2584.6841	-1.4418	-1.4842
0.6752	0.58	2200	0.6346	0.9311	0.5075	0.6560	0.4236	-2179.7668	-2579.6636	-1.3193	-1.3656
0.5646	0.6	2300	0.6396	0.6599	0.2912	0.6480	0.3686	-2201.3948	-2606.7883	-1.2832	-1.3116
0.6519	0.63	2400	0.6451	0.4237	0.0937	0.6400	0.3300	-2221.1460	-2630.4050	-1.4460	-1.4777
0.6292	0.65	2500	0.6313	0.8682	0.4231	0.6460	0.4452	-2188.2095	-2585.9512	-1.4040	-1.4397
0.5985	0.68	2600	0.6274	0.8396	0.3650	0.6640	0.4746	-2194.0144	-2588.8174	-1.3580	-1.3860
0.6323	0.71	2700	0.6328	0.6585	0.2012	0.6640	0.4573	-2210.3958	-2606.9260	-1.2622	-1.2938
0.6174	0.73	2800	0.6305	0.8505	0.3762	0.6580	0.4744	-2192.8989	-2587.7209	-1.3312	-1.3635
0.5972	0.76	2900	0.6310	0.6521	0.2290	0.6600	0.4231	-2207.6130	-2607.5659	-1.3492	-1.3840
0.6645	0.79	3000	0.6291	0.7035	0.2579	0.6520	0.4456	-2204.7251	-2602.4238	-1.3330	-1.3678
0.5786	0.81	3100	0.6310	0.5452	0.1222	0.6580	0.4230	-2218.2944	-2618.2534	-1.3173	-1.3498
0.604	0.84	3200	0.6375	0.3327	-0.0527	0.6540	0.3854	-2235.7852	-2639.5032	-1.3444	-1.3760
0.6704	0.86	3300	0.6269	0.7327	0.2896	0.6540	0.4431	-2201.5579	-2599.5049	-1.3241	-1.3585
0.6365	0.89	3400	0.6271	0.6900	0.2577	0.6560	0.4323	-2204.7437	-2603.7739	-1.3038	-1.3371
0.6621	0.92	3500	0.6279	0.6303	0.2073	0.6580	0.4230	-2209.7827	-2609.7432	-1.2991	-1.3321
0.6597	0.94	3600	0.6294	0.5540	0.1441	0.6580	0.4099	-2216.1082	-2617.3774	-1.3028	-1.3348
0.671	0.97	3700	0.6285	0.5945	0.1774	0.6600	0.4171	-2212.7783	-2613.3303	-1.3033	-1.3358
0.6328	0.99	3800	0.6283	0.5985	0.1803	0.6580	0.4182	-2212.4902	-2612.9258	-1.3032	-1.3356

Framework versions

Transformers 4.36.2
Pytorch 2.1.2
Datasets 2.14.6
Tokenizers 0.15.2

Task: Text Generation
Library: transformers
Type: llama
Created: Jul 10, 2024
Updated: Jul 10, 2024