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=2.0, loss_fn=cos, layer_mapper=None, projector=None))
train_embeddings: True
learning_rate: 4e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
num_epochs: 1.0

Resource Usage

Peak GPU Memory: 8.2206 GB

Eval-Phase Metrics

step	epoch	enwikippl	frwikippl	loss	runtime	samples_per_second	steps_per_second	zhwikippl
teacher eval		30.2086	57.2728					18.1784
0	0	56314.7695	59887.2773	7.8201	86.1883	58.013	7.252	59033.8086
1000	0.0162	792.2872	4804.1196	3.2178	86.0729	58.09	7.261	14971.4619
2000	0.0323	563.5076	3594.0178	3.0017	86.8465	57.573	7.197	2436.5176
3000	0.0485	462.8162	3038.3840	2.8886	86.4026	57.869	7.234	990.3070
4000	0.0646	394.8591	2549.8823	2.7877	86.3461	57.907	7.238	1110.5270
5000	0.0808	353.7159	2113.5315	2.6983	86.5685	57.758	7.22	845.9332
6000	0.0970	305.3852	1907.5966	2.6161	86.5704	57.756	7.22	792.3533
7000	0.1131	275.6120	1710.8368	2.5482	89.5827	55.814	6.977	704.9745
8000	0.1293	248.5870	1491.7041	2.4852	87.8996	56.883	7.11	655.4906
9000	0.1455	234.3043	1329.5667	2.4344	87.576	57.093	7.137	575.8531
10000	0.1616	210.1025	1200.8650	2.3778	88.2437	56.661	7.083	680.8273
11000	0.1778	195.9659	1137.0879	2.3352	87.2617	57.299	7.162	574.3172
12000	0.1939	177.5484	986.7017	2.2840	88.3708	56.58	7.072	511.2562
13000	0.2101	168.3902	992.2828	2.2496	86.6049	57.733	7.217	493.3487
14000	0.2263	159.1225	889.1183	2.2152	86.6651	57.693	7.212	434.3372
15000	0.2424	153.0509	800.1130	2.1876	86.8087	57.598	7.2	389.5484
16000	0.2586	146.4697	801.1292	2.1678	86.6505	57.703	7.213	490.2618
17000	0.2747	143.1525	782.1525	2.1519	86.9013	57.537	7.192	536.9359
18000	0.2909	139.4116	832.3362	2.1366	86.6158	57.726	7.216	568.2902
19000	0.3071	134.7601	733.2869	2.1223	86.3964	57.873	7.234	516.8853
20000	0.3232	132.8793	726.0842	2.1108	86.4694	57.824	7.228	376.9092
21000	0.3394	130.5677	658.1619	2.0982	86.9266	57.52	7.19	386.2850
22000	0.3556	130.3043	657.9764	2.0894	87.5122	57.135	7.142	418.9560
23000	0.3717	128.9555	687.2317	2.0831	87.0863	57.414	7.177	419.0120
24000	0.3879	125.7514	657.8835	2.0732	86.5642	57.761	7.22	391.6348
25000	0.4040	124.6431	676.3678	2.0703	86.6818	57.682	7.21	384.3811
26000	0.4202	124.4787	653.3537	2.0597	87.1964	57.342	7.168	403.9578
27000	0.4364	122.7223	659.5090	2.0546	86.5911	57.743	7.218	316.7159
28000	0.4525	123.1997	631.8794	2.0501	86.9662	57.494	7.187	295.1540
29000	0.4687	122.9990	659.6486	2.0423	87.0187	57.459	7.182	310.8498
30000	0.4848	123.1041	617.8698	2.0464	87.3158	57.263	7.158	315.3653
31000	0.5010	120.1201	613.0962	2.0351	87.311	57.267	7.158	308.4515
32000	0.5172	119.4781	630.6332	2.0323	87.0327	57.45	7.181	274.0701
33000	0.5333	118.0396	624.0867	2.0277	86.8174	57.592	7.199	285.6919
34000	0.5495	119.1354	588.2814	2.0249	86.7837	57.614	7.202	316.9274
35000	0.5657	117.2539	567.9440	2.0212	87.7979	56.949	7.119	303.2645
36000	0.5818	117.5548	608.1882	2.0241	86.4044	57.867	7.233	256.7451
37000	0.5980	116.6455	600.1797	2.0164	87.1429	57.377	7.172	345.4349
38000	0.6141	116.6998	564.5506	2.0140	87.5854	57.087	7.136	283.1472
39000	0.6303	113.8975	538.0084	2.0085	86.8118	57.596	7.199	285.9208
40000	0.6465	115.6533	579.6762	2.0130	87.6272	57.06	7.132	268.8502
41000	0.6626	114.0037	569.7087	2.0107	86.8951	57.541	7.193	298.6428
42000	0.6788	114.4206	558.2177	2.0114	86.4056	57.867	7.233	325.7667
43000	0.6949	114.1277	570.9554	2.0067	86.7633	57.628	7.204	297.6475
44000	0.7111	112.6310	603.2343	2.0041	87.2036	57.337	7.167	265.9578
45000	0.7273	112.3951	582.9551	1.9978	86.1934	58.009	7.251	276.3855
46000	0.7434	112.9463	591.3171	1.9976	86.5934	57.741	7.218	270.1097
47000	0.7596	112.1510	564.6300	1.9943	86.827	57.586	7.198	323.6853
48000	0.7758	112.8236	513.6188	1.9968	86.3974	57.872	7.234	305.2553
49000	0.7919	112.7886	565.1480	1.9948	86.5571	57.765	7.221	276.0167
50000	0.8081	111.8900	592.2350	1.9932	86.9533	57.502	7.188	247.9840
51000	0.8242	111.4391	588.3229	1.9920	86.4566	57.832	7.229	298.2842
52000	0.8404	109.9350	549.1997	1.9904	86.5867	57.746	7.218	318.3695
53000	0.8566	110.8264	544.7263	1.9856	87.1758	57.355	7.169	311.5147
54000	0.8727	111.0849	544.9952	1.9857	87.388	57.216	7.152	334.9867
55000	0.8889	111.1799	602.7242	1.9865	86.8376	57.579	7.197	265.1776
56000	0.9051	111.2490	553.5536	1.9821	87.5367	57.119	7.14	326.5943
57000	0.9212	110.1914	582.8317	1.9870	87.0656	57.428	7.178	1162.1104
58000	0.9374	109.1016	657.6982	1.9860	86.6253	57.72	7.215	322.6926
59000	0.9535	111.8119	596.5937	1.9831	86.3097	57.931	7.241	408.6782
60000	0.9697	108.9746	586.0871	1.9748	86.6963	57.673	7.209	268.2405
61000	0.9859	109.9862	560.1890	1.9777	86.8734	57.555	7.194	294.4846
61875	1.0	110.1401	573.6587	1.9760	86.766	57.626	7.203	273.4851

Framework versions

Distily 0.2.0
Transformers 4.44.0
Pytorch 2.3.0
Datasets 2.20.0

lapp0/distily_bench_gpt2_attn_part_2

distily_bench_gpt2_attn_part_2

Training procedure

Training hyperparameters

Resource Usage

Eval-Phase Metrics

Framework versions

lapp0/
distily_bench_gpt2_attn_part_2