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Browse files- m14/benchmark_results.json +540 -0
- m14/config.json +50 -0
- m14/eval_results.json +223 -0
- m14/model.safetensors +3 -0
m14/benchmark_results.json
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| 1 |
+
{
|
| 2 |
+
"model_id": "m14",
|
| 3 |
+
"checkpoint": "results/m14/final.pt",
|
| 4 |
+
"trained_step": 15258,
|
| 5 |
+
"num_fewshot": 0,
|
| 6 |
+
"limit": null,
|
| 7 |
+
"results": {
|
| 8 |
+
"lambada_openai": {
|
| 9 |
+
"name": "lambada_openai",
|
| 10 |
+
"alias": "lambada_openai",
|
| 11 |
+
"sample_len": 5153,
|
| 12 |
+
"perplexity,none": 404.5905237231641,
|
| 13 |
+
"perplexity_stderr,none": 21.19147790393626,
|
| 14 |
+
"acc,none": 0.18105957694546865,
|
| 15 |
+
"acc_stderr,none": 0.005364743691197477
|
| 16 |
+
},
|
| 17 |
+
"hellaswag": {
|
| 18 |
+
"name": "hellaswag",
|
| 19 |
+
"alias": "hellaswag",
|
| 20 |
+
"sample_len": 10042,
|
| 21 |
+
"acc,none": 0.2801234813782115,
|
| 22 |
+
"acc_stderr,none": 0.004481416180499928,
|
| 23 |
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"acc_norm,none": 0.293168691495718,
|
| 24 |
+
"acc_norm_stderr,none": 0.0045428479356060215
|
| 25 |
+
},
|
| 26 |
+
"piqa": {
|
| 27 |
+
"name": "piqa",
|
| 28 |
+
"alias": "piqa",
|
| 29 |
+
"sample_len": 1838,
|
| 30 |
+
"acc,none": 0.6093579978237215,
|
| 31 |
+
"acc_stderr,none": 0.011383377760053567,
|
| 32 |
+
"acc_norm,none": 0.6066376496191512,
|
| 33 |
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"acc_norm_stderr,none": 0.011397418546689315
|
| 34 |
+
},
|
| 35 |
+
"sciq": {
|
| 36 |
+
"name": "sciq",
|
| 37 |
+
"alias": "sciq",
|
| 38 |
+
"sample_len": 1000,
|
| 39 |
+
"acc,none": 0.685,
|
| 40 |
+
"acc_stderr,none": 0.014696631960792617,
|
| 41 |
+
"acc_norm,none": 0.594,
|
| 42 |
+
"acc_norm_stderr,none": 0.01553722643863458
|
| 43 |
+
},
|
| 44 |
+
"arc_easy": {
|
| 45 |
+
"name": "arc_easy",
|
| 46 |
+
"alias": "arc_easy",
|
| 47 |
+
"sample_len": 2376,
|
| 48 |
+
"acc,none": 0.4654882154882155,
|
| 49 |
+
"acc_stderr,none": 0.010235314238969277,
|
| 50 |
+
"acc_norm,none": 0.4313973063973064,
|
| 51 |
+
"acc_norm_stderr,none": 0.010162752847747605
|
| 52 |
+
},
|
| 53 |
+
"winogrande": {
|
| 54 |
+
"name": "winogrande",
|
| 55 |
+
"alias": "winogrande",
|
| 56 |
+
"sample_len": 1267,
|
| 57 |
+
"acc,none": 0.5122336227308603,
|
| 58 |
+
"acc_stderr,none": 0.014048278820405729
|
| 59 |
+
},
|
| 60 |
+
"blimp_adjunct_island": {
|
| 61 |
+
"name": "blimp_adjunct_island",
|
| 62 |
+
"alias": "blimp_adjunct_island",
|
| 63 |
+
"sample_len": 1000,
|
| 64 |
+
"acc,none": 0.804,
|
| 65 |
+
"acc_stderr,none": 0.012559527926707347
|
| 66 |
+
},
|
| 67 |
+
"blimp_anaphor_gender_agreement": {
|
| 68 |
+
"name": "blimp_anaphor_gender_agreement",
|
| 69 |
+
"alias": "blimp_anaphor_gender_agreement",
|
| 70 |
+
"sample_len": 1000,
|
| 71 |
+
"acc,none": 0.962,
|
| 72 |
+
"acc_stderr,none": 0.0060491811505849775
|
| 73 |
+
},
|
| 74 |
+
"blimp_anaphor_number_agreement": {
|
| 75 |
+
"name": "blimp_anaphor_number_agreement",
|
| 76 |
+
"alias": "blimp_anaphor_number_agreement",
|
| 77 |
+
"sample_len": 1000,
|
| 78 |
+
"acc,none": 0.984,
|
| 79 |
+
"acc_stderr,none": 0.003969856390319398
|
| 80 |
+
},
|
| 81 |
+
"blimp_animate_subject_passive": {
|
| 82 |
+
"name": "blimp_animate_subject_passive",
|
| 83 |
+
"alias": "blimp_animate_subject_passive",
|
| 84 |
+
"sample_len": 1000,
|
| 85 |
+
"acc,none": 0.719,
|
| 86 |
+
"acc_stderr,none": 0.01422115470843494
|
| 87 |
+
},
|
| 88 |
+
"blimp_animate_subject_trans": {
|
| 89 |
+
"name": "blimp_animate_subject_trans",
|
| 90 |
+
"alias": "blimp_animate_subject_trans",
|
| 91 |
+
"sample_len": 1000,
|
| 92 |
+
"acc,none": 0.907,
|
| 93 |
+
"acc_stderr,none": 0.009188875634996669
|
| 94 |
+
},
|
| 95 |
+
"blimp_causative": {
|
| 96 |
+
"name": "blimp_causative",
|
| 97 |
+
"alias": "blimp_causative",
|
| 98 |
+
"sample_len": 1000,
|
| 99 |
+
"acc,none": 0.749,
|
| 100 |
+
"acc_stderr,none": 0.013718133516888775
|
| 101 |
+
},
|
| 102 |
+
"blimp_complex_NP_island": {
|
| 103 |
+
"name": "blimp_complex_NP_island",
|
| 104 |
+
"alias": "blimp_complex_NP_island",
|
| 105 |
+
"sample_len": 1000,
|
| 106 |
+
"acc,none": 0.522,
|
| 107 |
+
"acc_stderr,none": 0.01580397942816194
|
| 108 |
+
},
|
| 109 |
+
"blimp_coordinate_structure_constraint_complex_left_branch": {
|
| 110 |
+
"name": "blimp_coordinate_structure_constraint_complex_left_branch",
|
| 111 |
+
"alias": "blimp_coordinate_structure_constraint_complex_left_branch",
|
| 112 |
+
"sample_len": 1000,
|
| 113 |
+
"acc,none": 0.511,
|
| 114 |
+
"acc_stderr,none": 0.01581547119529257
|
| 115 |
+
},
|
| 116 |
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"blimp_coordinate_structure_constraint_object_extraction": {
|
| 117 |
+
"name": "blimp_coordinate_structure_constraint_object_extraction",
|
| 118 |
+
"alias": "blimp_coordinate_structure_constraint_object_extraction",
|
| 119 |
+
"sample_len": 1000,
|
| 120 |
+
"acc,none": 0.816,
|
| 121 |
+
"acc_stderr,none": 0.01225945734093864
|
| 122 |
+
},
|
| 123 |
+
"blimp_determiner_noun_agreement_1": {
|
| 124 |
+
"name": "blimp_determiner_noun_agreement_1",
|
| 125 |
+
"alias": "blimp_determiner_noun_agreement_1",
|
| 126 |
+
"sample_len": 1000,
|
| 127 |
+
"acc,none": 0.976,
|
| 128 |
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"acc_stderr,none": 0.004842256441727084
|
| 129 |
+
},
|
| 130 |
+
"blimp_determiner_noun_agreement_2": {
|
| 131 |
+
"name": "blimp_determiner_noun_agreement_2",
|
| 132 |
+
"alias": "blimp_determiner_noun_agreement_2",
|
| 133 |
+
"sample_len": 1000,
|
| 134 |
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"acc,none": 0.954,
|
| 135 |
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"acc_stderr,none": 0.006627814717380679
|
| 136 |
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| 466 |
+
"blimp_transitive": {
|
| 467 |
+
"name": "blimp_transitive",
|
| 468 |
+
"alias": "blimp_transitive",
|
| 469 |
+
"sample_len": 1000,
|
| 470 |
+
"acc,none": 0.809,
|
| 471 |
+
"acc_stderr,none": 0.012436787112179482
|
| 472 |
+
},
|
| 473 |
+
"blimp_wh_island": {
|
| 474 |
+
"name": "blimp_wh_island",
|
| 475 |
+
"alias": "blimp_wh_island",
|
| 476 |
+
"sample_len": 1000,
|
| 477 |
+
"acc,none": 0.855,
|
| 478 |
+
"acc_stderr,none": 0.0111399775178902
|
| 479 |
+
},
|
| 480 |
+
"blimp_wh_questions_object_gap": {
|
| 481 |
+
"name": "blimp_wh_questions_object_gap",
|
| 482 |
+
"alias": "blimp_wh_questions_object_gap",
|
| 483 |
+
"sample_len": 1000,
|
| 484 |
+
"acc,none": 0.767,
|
| 485 |
+
"acc_stderr,none": 0.01337497251921999
|
| 486 |
+
},
|
| 487 |
+
"blimp_wh_questions_subject_gap": {
|
| 488 |
+
"name": "blimp_wh_questions_subject_gap",
|
| 489 |
+
"alias": "blimp_wh_questions_subject_gap",
|
| 490 |
+
"sample_len": 1000,
|
| 491 |
+
"acc,none": 0.917,
|
| 492 |
+
"acc_stderr,none": 0.008728527206074756
|
| 493 |
+
},
|
| 494 |
+
"blimp_wh_questions_subject_gap_long_distance": {
|
| 495 |
+
"name": "blimp_wh_questions_subject_gap_long_distance",
|
| 496 |
+
"alias": "blimp_wh_questions_subject_gap_long_distance",
|
| 497 |
+
"sample_len": 1000,
|
| 498 |
+
"acc,none": 0.847,
|
| 499 |
+
"acc_stderr,none": 0.011389500459665504
|
| 500 |
+
},
|
| 501 |
+
"blimp_wh_vs_that_no_gap": {
|
| 502 |
+
"name": "blimp_wh_vs_that_no_gap",
|
| 503 |
+
"alias": "blimp_wh_vs_that_no_gap",
|
| 504 |
+
"sample_len": 1000,
|
| 505 |
+
"acc,none": 0.969,
|
| 506 |
+
"acc_stderr,none": 0.005483527064679181
|
| 507 |
+
},
|
| 508 |
+
"blimp_wh_vs_that_no_gap_long_distance": {
|
| 509 |
+
"name": "blimp_wh_vs_that_no_gap_long_distance",
|
| 510 |
+
"alias": "blimp_wh_vs_that_no_gap_long_distance",
|
| 511 |
+
"sample_len": 1000,
|
| 512 |
+
"acc,none": 0.95,
|
| 513 |
+
"acc_stderr,none": 0.006895472974897918
|
| 514 |
+
},
|
| 515 |
+
"blimp_wh_vs_that_with_gap": {
|
| 516 |
+
"name": "blimp_wh_vs_that_with_gap",
|
| 517 |
+
"alias": "blimp_wh_vs_that_with_gap",
|
| 518 |
+
"sample_len": 1000,
|
| 519 |
+
"acc,none": 0.528,
|
| 520 |
+
"acc_stderr,none": 0.015794475789511517
|
| 521 |
+
},
|
| 522 |
+
"blimp_wh_vs_that_with_gap_long_distance": {
|
| 523 |
+
"name": "blimp_wh_vs_that_with_gap_long_distance",
|
| 524 |
+
"alias": "blimp_wh_vs_that_with_gap_long_distance",
|
| 525 |
+
"sample_len": 1000,
|
| 526 |
+
"acc,none": 0.284,
|
| 527 |
+
"acc_stderr,none": 0.014267009061031241
|
| 528 |
+
},
|
| 529 |
+
"blimp": {
|
| 530 |
+
"alias": "blimp",
|
| 531 |
+
"name": "blimp",
|
| 532 |
+
"sample_len": 67000,
|
| 533 |
+
"acc,none": 0.7844776119402985,
|
| 534 |
+
"acc_stderr,none": 0.0014535278370615976,
|
| 535 |
+
"sample_count": {
|
| 536 |
+
"acc,none": 67000
|
| 537 |
+
}
|
| 538 |
+
}
|
| 539 |
+
}
|
| 540 |
+
}
|
m14/config.json
ADDED
|
@@ -0,0 +1,50 @@
|
|
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|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model_id": "m14",
|
| 3 |
+
"run_name": "m14-mha-rope-moe-muon",
|
| 4 |
+
"data_dir": "data/fineweb-edu",
|
| 5 |
+
"vocab_size": 50257,
|
| 6 |
+
"block_size": 1024,
|
| 7 |
+
"d_model": 512,
|
| 8 |
+
"num_layers": 12,
|
| 9 |
+
"num_heads": 8,
|
| 10 |
+
"ffn_mult": 4,
|
| 11 |
+
"dropout": 0.0,
|
| 12 |
+
"bias": false,
|
| 13 |
+
"norm_type": "rmsnorm",
|
| 14 |
+
"tie_embeddings": true,
|
| 15 |
+
"attention_type": "mha",
|
| 16 |
+
"gqa_num_kv_heads": 2,
|
| 17 |
+
"mla_latent_dim": 64,
|
| 18 |
+
"pos_type": "rope",
|
| 19 |
+
"rope_base": 10000,
|
| 20 |
+
"ffn_type": "moe",
|
| 21 |
+
"moe_num_experts": 8,
|
| 22 |
+
"moe_top_k": 2,
|
| 23 |
+
"optimizer": "muon",
|
| 24 |
+
"lr": 0.0006,
|
| 25 |
+
"min_lr": 6e-05,
|
| 26 |
+
"weight_decay": 0.1,
|
| 27 |
+
"beta1": 0.9,
|
| 28 |
+
"beta2": 0.95,
|
| 29 |
+
"grad_clip": 1.0,
|
| 30 |
+
"muon_lr": 0.02,
|
| 31 |
+
"muon_momentum": 0.95,
|
| 32 |
+
"training_tokens": 1000000000,
|
| 33 |
+
"warmup_tokens": 6000000,
|
| 34 |
+
"lr_schedule": "cosine",
|
| 35 |
+
"batch_size": 2,
|
| 36 |
+
"grad_accum_steps": 32,
|
| 37 |
+
"device": "cuda",
|
| 38 |
+
"dtype": "bfloat16",
|
| 39 |
+
"compile": true,
|
| 40 |
+
"seed": 1337,
|
| 41 |
+
"eval_interval": 250,
|
| 42 |
+
"eval_iters": 100,
|
| 43 |
+
"log_interval": 10,
|
| 44 |
+
"checkpoint_interval": 1000,
|
| 45 |
+
"results_dir": "results",
|
| 46 |
+
"mlflow_experiment": "slm-ablation",
|
| 47 |
+
"mlflow_tracking_uri": "sqlite:///mlflow.db",
|
| 48 |
+
"mlflow_artifact_location": "./mlartifacts",
|
| 49 |
+
"moe_aux_loss_coef": 0.01
|
| 50 |
+
}
|
m14/eval_results.json
ADDED
|
@@ -0,0 +1,223 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model_id": "m14",
|
| 3 |
+
"checkpoint": "results/m14/final.pt",
|
| 4 |
+
"trained_step": 15258,
|
| 5 |
+
"total_params": 239703040,
|
| 6 |
+
"active_params": 88708096,
|
| 7 |
+
"flops_per_forward": 177416192.0,
|
| 8 |
+
"val_loss": 3.4363590747118,
|
| 9 |
+
"val_perplexity": 31.07361524541882,
|
| 10 |
+
"bits_per_token": 4.9576181958005,
|
| 11 |
+
"ppl_tokens_evaluated": 655360,
|
| 12 |
+
"prefill_tok_per_sec": 80126.71676878858,
|
| 13 |
+
"inference_tok_per_sec": 46.77562740153019,
|
| 14 |
+
"inference_tok_per_sec_kvcache": 79.65645893983364,
|
| 15 |
+
"kvcache_speedup": 1.7029479531305616,
|
| 16 |
+
"gen_tokens": 128,
|
| 17 |
+
"peak_infer_vram_gb": 1.452,
|
| 18 |
+
"peak_train_vram_gb": 3.608,
|
| 19 |
+
"closeness_answer_ppl": 13.041,
|
| 20 |
+
"closeness_hit_rate": 0.55,
|
| 21 |
+
"closeness_token_f1": 0.068,
|
| 22 |
+
"closeness_n": 20,
|
| 23 |
+
"closeness_items": [
|
| 24 |
+
{
|
| 25 |
+
"prompt": "The capital of France is",
|
| 26 |
+
"answer": " Paris",
|
| 27 |
+
"generated": " the city of Paris. The",
|
| 28 |
+
"answer_nll": 3.202,
|
| 29 |
+
"answer_ppl": 24.582,
|
| 30 |
+
"hit": true,
|
| 31 |
+
"token_f1": 0.0
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"prompt": "The capital of Japan is",
|
| 35 |
+
"answer": " Tokyo",
|
| 36 |
+
"generated": " the city of Tokyo. The",
|
| 37 |
+
"answer_nll": 2.5489,
|
| 38 |
+
"answer_ppl": 12.793,
|
| 39 |
+
"hit": true,
|
| 40 |
+
"token_f1": 0.0
|
| 41 |
+
},
|
| 42 |
+
{
|
| 43 |
+
"prompt": "The largest planet in the solar system is",
|
| 44 |
+
"answer": " Jupiter",
|
| 45 |
+
"generated": " the Sun, which is the",
|
| 46 |
+
"answer_nll": 2.4559,
|
| 47 |
+
"answer_ppl": 11.657,
|
| 48 |
+
"hit": false,
|
| 49 |
+
"token_f1": 0.0
|
| 50 |
+
},
|
| 51 |
+
{
|
| 52 |
+
"prompt": "Water is made of hydrogen and",
|
| 53 |
+
"answer": " oxygen",
|
| 54 |
+
"generated": " oxygen.\nThe hydrogen is",
|
| 55 |
+
"answer_nll": 0.2959,
|
| 56 |
+
"answer_ppl": 1.344,
|
| 57 |
+
"hit": true,
|
| 58 |
+
"token_f1": 0.0
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"prompt": "The opposite of hot is",
|
| 62 |
+
"answer": " cold",
|
| 63 |
+
"generated": " hot. Hot is the heat",
|
| 64 |
+
"answer_nll": 4.2344,
|
| 65 |
+
"answer_ppl": 69.019,
|
| 66 |
+
"hit": false,
|
| 67 |
+
"token_f1": 0.0
|
| 68 |
+
},
|
| 69 |
+
{
|
| 70 |
+
"prompt": "The opposite of up is",
|
| 71 |
+
"answer": " down",
|
| 72 |
+
"generated": " the difference between the two.",
|
| 73 |
+
"answer_nll": 4.0606,
|
| 74 |
+
"answer_ppl": 58.008,
|
| 75 |
+
"hit": false,
|
| 76 |
+
"token_f1": 0.0
|
| 77 |
+
},
|
| 78 |
+
{
|
| 79 |
+
"prompt": "Two plus two equals",
|
| 80 |
+
"answer": " four",
|
| 81 |
+
"generated": " two.\nThe first is",
|
| 82 |
+
"answer_nll": 2.1366,
|
| 83 |
+
"answer_ppl": 8.471,
|
| 84 |
+
"hit": false,
|
| 85 |
+
"token_f1": 0.0
|
| 86 |
+
},
|
| 87 |
+
{
|
| 88 |
+
"prompt": "The sun rises in the",
|
| 89 |
+
"answer": " east",
|
| 90 |
+
"generated": " morning and sets in the evening",
|
| 91 |
+
"answer_nll": 2.7328,
|
| 92 |
+
"answer_ppl": 15.375,
|
| 93 |
+
"hit": false,
|
| 94 |
+
"token_f1": 0.0
|
| 95 |
+
},
|
| 96 |
+
{
|
| 97 |
+
"prompt": "The first president of the United States was George",
|
| 98 |
+
"answer": " Washington",
|
| 99 |
+
"generated": " Washington.\nThe first president",
|
| 100 |
+
"answer_nll": 0.2571,
|
| 101 |
+
"answer_ppl": 1.293,
|
| 102 |
+
"hit": true,
|
| 103 |
+
"token_f1": 0.0
|
| 104 |
+
},
|
| 105 |
+
{
|
| 106 |
+
"prompt": "The speed of light is approximately 300,000 kilometers per",
|
| 107 |
+
"answer": " second",
|
| 108 |
+
"generated": " second.\nThe speed of",
|
| 109 |
+
"answer_nll": 0.0656,
|
| 110 |
+
"answer_ppl": 1.068,
|
| 111 |
+
"hit": true,
|
| 112 |
+
"token_f1": 0.0
|
| 113 |
+
},
|
| 114 |
+
{
|
| 115 |
+
"prompt": "A triangle has three",
|
| 116 |
+
"answer": " sides",
|
| 117 |
+
"generated": " sides, and the third side",
|
| 118 |
+
"answer_nll": 1.3205,
|
| 119 |
+
"answer_ppl": 3.745,
|
| 120 |
+
"hit": true,
|
| 121 |
+
"token_f1": 0.0
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"prompt": "The chemical symbol for gold is",
|
| 125 |
+
"answer": " Au",
|
| 126 |
+
"generated": " gold. Gold is the most",
|
| 127 |
+
"answer_nll": 6.5487,
|
| 128 |
+
"answer_ppl": 698.318,
|
| 129 |
+
"hit": false,
|
| 130 |
+
"token_f1": 0.0
|
| 131 |
+
},
|
| 132 |
+
{
|
| 133 |
+
"prompt": "The freezing point of water in Celsius is",
|
| 134 |
+
"answer": " zero",
|
| 135 |
+
"generated": " about 1.5 \u00b0C",
|
| 136 |
+
"answer_nll": 5.9355,
|
| 137 |
+
"answer_ppl": 378.246,
|
| 138 |
+
"hit": false,
|
| 139 |
+
"token_f1": 0.0
|
| 140 |
+
},
|
| 141 |
+
{
|
| 142 |
+
"prompt": "The author of Romeo and Juliet is William",
|
| 143 |
+
"answer": " Shakespeare",
|
| 144 |
+
"generated": " Shakespeare.\nThe play is",
|
| 145 |
+
"answer_nll": 0.1597,
|
| 146 |
+
"answer_ppl": 1.173,
|
| 147 |
+
"hit": true,
|
| 148 |
+
"token_f1": 0.0
|
| 149 |
+
},
|
| 150 |
+
{
|
| 151 |
+
"prompt": "The Earth revolves around the",
|
| 152 |
+
"answer": " Sun",
|
| 153 |
+
"generated": " Sun, and the Sun is",
|
| 154 |
+
"answer_nll": 0.6747,
|
| 155 |
+
"answer_ppl": 1.963,
|
| 156 |
+
"hit": true,
|
| 157 |
+
"token_f1": 0.333
|
| 158 |
+
},
|
| 159 |
+
{
|
| 160 |
+
"prompt": "The plural of mouse is",
|
| 161 |
+
"answer": " mice",
|
| 162 |
+
"generated": " the mouse.\nThe word",
|
| 163 |
+
"answer_nll": 5.1476,
|
| 164 |
+
"answer_ppl": 172.017,
|
| 165 |
+
"hit": false,
|
| 166 |
+
"token_f1": 0.0
|
| 167 |
+
},
|
| 168 |
+
{
|
| 169 |
+
"prompt": "Photosynthesis occurs in the",
|
| 170 |
+
"answer": " leaves",
|
| 171 |
+
"generated": " leaves of the plant.\n",
|
| 172 |
+
"answer_nll": 3.5603,
|
| 173 |
+
"answer_ppl": 35.174,
|
| 174 |
+
"hit": true,
|
| 175 |
+
"token_f1": 0.4
|
| 176 |
+
},
|
| 177 |
+
{
|
| 178 |
+
"prompt": "The human heart pumps",
|
| 179 |
+
"answer": " blood",
|
| 180 |
+
"generated": " blood to the rest of the",
|
| 181 |
+
"answer_nll": 1.1786,
|
| 182 |
+
"answer_ppl": 3.25,
|
| 183 |
+
"hit": true,
|
| 184 |
+
"token_f1": 0.286
|
| 185 |
+
},
|
| 186 |
+
{
|
| 187 |
+
"prompt": "The currency used in the United States is the",
|
| 188 |
+
"answer": " dollar",
|
| 189 |
+
"generated": " dollar. The dollar is the",
|
| 190 |
+
"answer_nll": 2.5244,
|
| 191 |
+
"answer_ppl": 12.483,
|
| 192 |
+
"hit": true,
|
| 193 |
+
"token_f1": 0.333
|
| 194 |
+
},
|
| 195 |
+
{
|
| 196 |
+
"prompt": "The tallest animal in the world is the",
|
| 197 |
+
"answer": " giraffe",
|
| 198 |
+
"generated": " lion.\nThe lion is",
|
| 199 |
+
"answer_nll": 2.3226,
|
| 200 |
+
"answer_ppl": 10.202,
|
| 201 |
+
"hit": false,
|
| 202 |
+
"token_f1": 0.0
|
| 203 |
+
}
|
| 204 |
+
],
|
| 205 |
+
"moe/aux_loss": 0.12053199759684503,
|
| 206 |
+
"moe/routing_entropy": 0.9948502505819002,
|
| 207 |
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"moe/max_load_frac": 0.1416552225748698,
|
| 208 |
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"moe/expert_0_prob": 0.12510733157396317,
|
| 209 |
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"moe/expert_1_prob": 0.1254948280751705,
|
| 210 |
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"moe/expert_2_prob": 0.130660605058074,
|
| 211 |
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"moe/expert_3_prob": 0.12439362742006779,
|
| 212 |
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"moe/expert_4_prob": 0.12149989195168018,
|
| 213 |
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"moe/expert_5_prob": 0.13262441903352737,
|
| 214 |
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"moe/expert_6_prob": 0.12078449092805385,
|
| 215 |
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"moe/expert_7_prob": 0.11943480558693409,
|
| 216 |
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"generation_samples": {
|
| 217 |
+
"The most important thing about sleep is": "The most important thing about sleep is that it\u2019s a good idea to prepare yourself and your family for the day ahead. If you find that you get into bed, you might be craving for the night. You might be feeling a bit hungry later, and also feeling the energy back to sleep.\nWhat happens if you can",
|
| 218 |
+
"Scientists have discovered that": "Scientists have discovered that, in many ways, the human body is a complex machine with four chambers, eight organs, five nerve paths, one central nerve, two peripheral nerve pathways, three peripheral nerve pathways, and a small number of other systems.\nThe human body is a complex machine with four distinct layers. The outer",
|
| 219 |
+
"In the history of mathematics,": "In the history of mathematics, the term \"curriculum\" is often used to describe any subject that is relevant to the science or mathematics curriculum. The term \"curriculum\" is often used in relation to the broader subject of mathematics curriculum.\nThe term \"curriculum\" is used more widely in the United States",
|
| 220 |
+
"Python code for prime number": "Python code for prime number of elements for free. However, the program is not capable to compute integers and can only compute integers, which is a requirement for the first and last elements of the Java package.<|endoftext|>The name Gogol is derived from the Greek word for \"horn\",\nwhere the word \"horn\" means",
|
| 221 |
+
"The best way to learn a new language is": "The best way to learn a new language is to learn about its culture, culture, and language. Learning a new language is something that can be enjoyed by everyone. If you have ever wondered how the language works, you know that it\u2019s used in different cultures. Learning the language is a beautiful language because it allows you to express yourself"
|
| 222 |
+
}
|
| 223 |
+
}
|
m14/model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:bd1ca02cd62bf3170452324a914b4d51064a30bf6569a6676d6bcabbdc88dcda
|
| 3 |
+
size 958841736
|