distillation_objective: DistillationObjective(logits_loss_component=LossComponent(label=logits, weight=1, loss_fn=kl, layer_mapper=None, projector=None), hs_loss_component=LossComponent(label=hs, weight=0, loss_fn=None, layer_mapper=None, projector=None), attn_loss_component=LossComponent(label=attn, weight=0, loss_fn=None, layer_mapper=None, projector=None))
train_embeddings: True
learning_rate: 1e-05
train_batch_size: 1
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.5
num_epochs: 1.0

Resource Usage

Peak GPU Memory: 7.9381 GB

Eval-Phase Metrics

step	epoch	enwikippl	frwikippl	loss	runtime	samples_per_second	steps_per_second	tinystoriesppl	zhwikippl
teacher eval		43.75	61.75					11.8125	19.125
0	0	1821066133504.0	158329674399744.0	19.3254	12.5492	47.812	11.953	12079595520.0	98956046499840.0
1500	0.0253	46439333888.0	5153960755200.0	13.9821	12.5442	47.831	11.958	285212672.0	10445360463872.0
3000	0.0505	2179072.0	66060288.0	7.7394	12.573	47.721	11.93	158720.0	209715200.0
4500	0.0758	95744.0	2523136.0	5.2142	12.6045	47.602	11.901	17920.0	6029312.0
6000	0.1010	10816.0	158720.0	4.0370	12.5895	47.659	11.915	5760.0	671744.0
7500	0.1263	4448.0	55040.0	3.3192	12.5498	47.809	11.952	2720.0	296960.0
9000	0.1515	2720.0	32256.0	2.8924	12.4707	48.113	12.028	1392.0	296960.0
10500	0.1768	1960.0	20608.0	2.6753	12.5367	47.859	11.965	992.0	278528.0
12000	0.2020	864.0	4896.0	2.2104	12.4794	48.079	12.02	544.0	85504.0
13500	0.2273	564.0	4672.0	1.9660	12.4591	48.158	12.039	382.0	2304.0
15000	0.2525	452.0	2816.0	1.8089	12.5819	47.687	11.922	316.0	788.0
16500	0.2778	398.0	2160.0	1.7757	12.581	47.691	11.923	304.0	548.0
18000	0.3030	374.0	1944.0	1.6982	12.5631	47.759	11.94	296.0	478.0
19500	0.3283	358.0	1488.0	1.6521	12.6042	47.603	11.901	274.0	444.0
21000	0.3535	352.0	1544.0	1.6516	12.5472	47.819	11.955	268.0	466.0
22500	0.3788	336.0	1464.0	1.6172	12.5526	47.799	11.95	266.0	386.0
24000	0.4040	326.0	1280.0	1.5683	12.5056	47.979	11.995	242.0	248.0
25500	0.4293	298.0	1216.0	1.5292	12.5815	47.689	11.922	244.0	255.0
27000	0.4545	290.0	1072.0	1.4859	12.5923	47.648	11.912	236.0	236.0
28500	0.4798	276.0	1144.0	1.4542	12.5108	47.959	11.99	228.0	244.0
30000	0.5051	276.0	1200.0	1.4598	12.5421	47.839	11.96	204.0	258.0
31500	0.5303	270.0	1112.0	1.4433	12.5006	47.998	11.999	212.0	205.0
33000	0.5556	272.0	1040.0	1.4221	12.5626	47.761	11.94	209.0	236.0
34500	0.5808	252.0	1176.0	1.4007	12.5775	47.704	11.926	202.0	222.0
36000	0.6061	248.0	976.0	1.3998	12.5397	47.848	11.962	207.0	266.0
37500	0.6313	226.0	836.0	1.3400	12.6024	47.61	11.902	183.0	260.0
39000	0.6566	213.0	852.0	1.2991	12.6581	47.4	11.85	172.0	182.0
40500	0.6818	208.0	932.0	1.2862	12.5163	47.937	11.984	170.0	163.0
42000	0.7071	206.0	788.0	1.2804	12.6037	47.605	11.901	172.0	159.0
43500	0.7323	204.0	824.0	1.2747	12.5859	47.672	11.918	165.0	163.0
45000	0.7576	201.0	848.0	1.2704	12.722	47.162	11.791	165.0	153.0
46500	0.7828	203.0	760.0	1.2726	12.5879	47.665	11.916	169.0	156.0
48000	0.8081	205.0	820.0	1.2693	12.5698	47.734	11.933	170.0	165.0
49500	0.8333	199.0	792.0	1.2608	12.5756	47.712	11.928	166.0	165.0
51000	0.8586	198.0	768.0	1.2563	12.5984	47.625	11.906	167.0	160.0
52500	0.8838	197.0	788.0	1.2558	12.5705	47.731	11.933	164.0	159.0
54000	0.9091	197.0	776.0	1.2553	12.6019	47.612	11.903	166.0	166.0
55500	0.9343	197.0	784.0	1.2540	12.6329	47.495	11.874	165.0	163.0
57000	0.9596	197.0	776.0	1.2534	12.5525	47.799	11.95	165.0	161.0
58500	0.9848	196.0	780.0	1.2539	12.5854	47.674	11.919	165.0	161.0
59400	1.0	196.0	780.0	1.2536	12.5194	47.925	11.981	165.0	161.0

Framework versions

Distily 0.2.0
Transformers 4.44.0
Pytorch 2.3.0
Datasets 2.21.0

lapp0/distily_bench_obj_cross_v2.12b_gpt2

distily_bench_obj_cross_v2.12b_gpt2

Training procedure

Training hyperparameters

Resource Usage

Eval-Phase Metrics

Framework versions

lapp0/
distily_bench_obj_cross_v2.12b_gpt2