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dl-trm-phase2-codebooks

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codebook_loss float64	commitment_loss float64	direction_loss float64	epoch int64	final_logit_loss float64	hidden_mse float64	loss float64	step int64	task_loss_no_vq float64	vq_loss float64
0.022461	0.022461	0.995778	1	40.246876	0.201196	40.492992	1	40.448071	0.044922
0.022217	0.022217	0.996732	1	35.988159	0.189653	36.222244	2	36.177811	0.044434
0.018677	0.018677	0.995953	1	29.010357	0.180443	29.228153	3	29.1908	0.037354
0.019409	0.019409	0.997989	1	13.537743	0.218955	13.795516	4	13.756698	0.038818
0.017212	0.017212	0.995611	1	13.087255	0.180723	13.302402	5	13.267979	0.034424
0.024536	0.024536	0.998416	1	9.600511	0.185226	9.834808	6	9.785736	0.049072
0.020386	0.020386	0.993968	1	9.961304	0.18404	10.186115	7	10.145344	0.040771
0.02124	0.02124	0.999116	1	7.581605	0.182299	7.806385	8	7.763904	0.04248
0.027344	0.027344	0.998889	1	5.915928	0.196778	6.167393	9	6.112706	0.054688
0.018433	0.018433	0.996872	1	8.697341	0.176889	8.911096	10	8.87423	0.036865
0.01709	0.01709	0.997163	1	8.014796	0.178982	8.227959	11	8.193779	0.03418
0.023682	0.023682	0.996187	1	6.28061	0.216987	6.54496	12	6.497596	0.047363
0.023315	0.023315	0.995325	1	3.8563	0.191517	4.094448	13	4.047817	0.046631
0.022095	0.022095	0.995329	1	4.442579	0.187019	4.673788	14	4.629598	0.044189
0.018677	0.018677	0.995485	1	3.752429	0.178577	3.96836	15	3.931006	0.037354
0.019409	0.019409	0.992712	1	3.798262	0.17855	4.01563	16	3.976811	0.038818
0.019653	0.019653	0.993765	1	2.052684	0.1797	2.271691	17	2.232384	0.039307
0.023438	0.023438	0.992969	1	3.292425	0.179766	3.519066	18	3.472191	0.046875
0.026123	0.026123	0.998937	1	3.195195	0.186049	3.43349	19	3.381244	0.052246
0.025269	0.025269	0.996515	1	3.834255	0.194165	4.078958	20	4.02842	0.050537
0.022827	0.022827	0.993255	1	3.881289	0.194176	4.121119	21	4.075465	0.045654
0.019775	0.019775	0.994675	1	3.651058	0.181861	3.87247	22	3.832919	0.039551
0.021118	0.021118	0.994423	1	3.269213	0.179044	3.490493	23	3.448257	0.042236
0.022827	0.022827	0.996388	1	3.679235	0.228867	3.953757	24	3.908103	0.045654
0.02417	0.02417	0.991994	1	3.051845	0.18918	3.289365	25	3.241025	0.04834
0.02478	0.02478	0.994175	1	3.05891	0.189182	3.297652	26	3.248092	0.049561
0.021851	0.021851	0.994987	1	3.715487	0.179393	3.938581	27	3.89488	0.043701
0.024048	0.024048	0.994169	1	1.567941	0.187231	1.803267	28	1.755172	0.048096
0.024658	0.024658	0.994926	1	2.180747	0.189813	2.419877	29	2.37056	0.049316
0.025024	0.025024	0.994963	1	1.755434	0.201076	2.006558	30	1.95651	0.050049
0.020386	0.020386	0.993479	1	1.537468	0.180466	1.758705	31	1.717934	0.040771
0.017944	0.017944	0.996352	1	1.793721	0.180709	2.010319	32	1.97443	0.035889
0.019653	0.019653	0.994395	1	2.077589	0.179212	2.296107	33	2.256801	0.039307
0.023438	0.023438	0.994614	1	1.710631	0.202236	1.959742	34	1.912867	0.046875
0.024902	0.024902	0.993493	1	2.306939	0.188862	2.545605	35	2.4958	0.049805
0.021362	0.021362	0.995116	1	2.189145	0.18161	2.41348	36	2.370756	0.042725
0.028931	0.028931	0.997578	1	2.676292	0.306921	3.041075	37	2.983213	0.057861
0.020142	0.020142	0.993749	1	2.318042	0.178599	2.536924	38	2.496641	0.040283
0.02356	0.02356	0.993895	1	1.850765	0.190709	2.088593	39	2.041474	0.047119
0.022461	0.022461	0.995283	1	1.683146	0.18378	1.911849	40	1.866927	0.044922
0.024658	0.024658	0.99583	1	3.078195	0.185755	3.313266	41	3.26395	0.049316
0.020874	0.020874	0.996987	1	1.193337	0.180132	1.415217	42	1.373469	0.041748
0.02124	0.02124	0.993845	1	1.578146	0.179163	1.79979	43	1.757309	0.04248
0.022705	0.022705	0.994926	1	1.06357	0.186014	1.294994	44	1.249584	0.04541
0.024536	0.024536	0.995016	1	3.334164	0.180351	3.563587	45	3.514515	0.049072
0.025146	0.025146	0.99076	1	2.432147	0.195132	2.677571	46	2.627278	0.050293
0.022583	0.022583	0.992484	1	1.755651	0.178873	1.97969	47	1.934524	0.045166
0.019409	0.019409	0.994999	1	2.064327	0.178726	2.281872	48	2.243053	0.038818
0.022583	0.022583	0.993092	1	1.722771	0.184924	1.952861	49	1.907695	0.045166
0.022583	0.022583	0.995262	1	2.284111	0.180857	2.510134	50	2.464968	0.045166
0.022217	0.022217	0.993293	1	1.548287	0.181591	1.774312	51	1.729878	0.044434
0.021851	0.021851	0.995807	1	3.040421	0.184736	3.268857	52	3.225156	0.043701
0.025391	0.025391	0.991326	1	1.733191	0.184678	1.96865	53	1.917868	0.050781
0.02063	0.02063	0.991776	1	1.840067	0.178584	2.059911	54	2.018651	0.04126
0.023682	0.023682	0.992046	1	1.041134	0.184052	1.27255	55	1.225186	0.047363
0.023193	0.023193	0.994966	1	1.719765	0.184605	1.950756	56	1.904369	0.046387
0.029053	0.029053	0.992675	1	2.623869	0.214283	2.896257	57	2.838151	0.058105
0.024292	0.024292	0.994477	1	2.631833	0.19117	2.871587	58	2.823003	0.048584
0.018921	0.018921	0.99257	1	1.891413	0.178389	2.107643	59	2.069801	0.037842
0.022339	0.022339	0.994282	1	2.110553	0.179735	2.334965	60	2.290288	0.044678
0.021973	0.021973	0.994793	1	2.088351	0.185721	2.318017	61	2.274072	0.043945
0.028931	0.028931	0.992522	1	1.732015	0.222945	2.012821	62	1.95496	0.057861
0.022705	0.022705	0.995078	1	1.593494	0.191844	1.830748	63	1.785338	0.04541
0.024414	0.024414	0.991064	1	2.45392	0.189293	2.692041	64	2.643213	0.048828
0.022339	0.022339	0.993627	1	1.839403	0.188076	2.072157	65	2.027479	0.044678
0.021362	0.021362	0.990123	1	1.444753	0.203876	1.691353	66	1.648629	0.042725
0.026489	0.026489	0.994836	1	1.446583	0.224312	1.723874	67	1.670895	0.052979
0.024292	0.024292	0.992819	1	3.217733	0.206174	3.472491	68	3.423907	0.048584
0.022705	0.022705	0.994503	1	2.055573	0.187119	2.288102	69	2.242692	0.04541
0.02478	0.02478	0.991458	1	2.604895	0.190334	2.84479	70	2.795229	0.049561
0.026855	0.026855	0.993435	1	2.39292	0.234142	2.680773	71	2.627062	0.053711
0.027222	0.027222	0.991912	1	1.591119	0.183439	1.829001	72	1.774558	0.054443
0.024536	0.024536	0.992046	1	1.943032	0.180095	2.172199	73	2.123127	0.049072
0.023926	0.023926	0.992062	1	1.597823	0.179229	1.824904	74	1.777052	0.047852
0.027344	0.027344	0.995863	1	2.398981	0.1931	2.646769	75	2.592081	0.054688
0.024292	0.024292	0.990548	1	2.932649	0.195241	3.176474	76	3.12789	0.048584
0.019531	0.019531	0.990883	1	1.773765	0.180282	1.99311	77	1.954047	0.039063
0.023071	0.023071	0.994558	1	3.690896	0.186157	3.923196	78	3.877053	0.046143
0.028076	0.028076	0.994867	1	2.360665	0.195138	2.611955	79	2.555803	0.056152
0.021729	0.021729	0.995248	1	1.536366	0.182821	1.762644	80	1.719187	0.043457
0.028564	0.028564	0.994802	1	1.902666	0.209258	2.169053	81	2.111924	0.057129
0.028687	0.028687	0.988502	1	2.176318	0.198817	2.432508	82	2.375135	0.057373
0.020996	0.020996	0.992278	1	0.982159	0.217614	1.241765	83	1.199773	0.041992
0.024414	0.024414	0.996131	1	1.686662	0.213917	1.949407	84	1.900578	0.048828
0.025391	0.025391	0.994561	1	1.742649	0.182178	1.975608	85	1.924827	0.050781
0.020264	0.020264	0.990579	1	0.808687	0.181971	1.031186	86	0.990659	0.040527
0.01709	0.01709	0.994501	1	1.662138	0.178797	1.875115	87	1.840935	0.03418
0.026855	0.026855	0.99159	1	1.46445	0.194335	1.712496	88	1.658785	0.053711
0.021973	0.021973	0.992768	1	2.143221	0.191557	2.378724	89	2.334779	0.043945
0.022461	0.022461	0.9905	1	1.533091	0.196412	1.774426	90	1.729504	0.044922
0.021851	0.021851	0.991992	1	1.386334	0.177272	1.607308	91	1.563607	0.043701
0.020508	0.020508	0.99221	1	1.12526	0.180714	1.34699	92	1.305975	0.041016
0.023315	0.023315	0.993031	1	0.922504	0.198848	1.167983	93	1.121352	0.046631
0.026245	0.026245	0.992004	1	1.221453	0.182661	1.456605	94	1.404114	0.05249
0.023804	0.023804	0.99344	1	1.417892	0.179929	1.645429	95	1.597821	0.047607
0.024536	0.024536	0.991928	1	1.485564	0.18517	1.719806	96	1.670734	0.049072
0.025269	0.025269	0.995583	1	3.484444	0.209163	3.744144	97	3.693607	0.050537
0.021973	0.021973	0.991996	1	1.685273	0.181579	1.910797	98	1.866852	0.043945
0.02771	0.02771	0.992173	1	1.424652	0.249836	1.729908	99	1.674488	0.05542
0.023438	0.023438	0.991598	1	1.833563	0.179024	2.059462	100	2.012587	0.046875

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DL-TRM Phase 2 Codebooks

This dataset repository contains Phase 2 transition VQ codebook artifacts for DL-TRM.

Contents are organized by vocabulary size:

V16/
V32/
V128/
V256/

Each folder includes:

z_traces.pt: discrete Z trace dataset for the Phase 1 route traces
codebook.pt: learned VQ codebook weights
transition_vq_model.pt: trained transition VQ model weights
diagnostics.json: code usage and final training diagnostics
z_trace_manifest.json: artifact manifest
checkpoints/: periodic training checkpoints at steps 250, 500, 750, and 1000

Training settings:

batch_size=16
max_steps=1000
lr=3e-5
codebook_weight=1.0
commitment_weight=1.0
hidden_weight=1.0
final_logit_weight=1.0
direction_weight=0.0

See upload_summary.json for final diagnostics across all vocabulary sizes.

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