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Browse files- m12/benchmark_results.json +540 -0
- m12/config.json +49 -0
- m12/eval_results.json +212 -0
- m12/model.safetensors +3 -0
m12/benchmark_results.json
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| 1 |
+
{
|
| 2 |
+
"model_id": "m12",
|
| 3 |
+
"checkpoint": "results/m12/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": 757.0223140222998,
|
| 13 |
+
"perplexity_stderr,none": 40.29347300635698,
|
| 14 |
+
"acc,none": 0.16437026974577915,
|
| 15 |
+
"acc_stderr,none": 0.005163339102273806
|
| 16 |
+
},
|
| 17 |
+
"hellaswag": {
|
| 18 |
+
"name": "hellaswag",
|
| 19 |
+
"alias": "hellaswag",
|
| 20 |
+
"sample_len": 10042,
|
| 21 |
+
"acc,none": 0.2711611232822147,
|
| 22 |
+
"acc_stderr,none": 0.004436505187567018,
|
| 23 |
+
"acc_norm,none": 0.2758414658434575,
|
| 24 |
+
"acc_norm_stderr,none": 0.0044602388792477484
|
| 25 |
+
},
|
| 26 |
+
"piqa": {
|
| 27 |
+
"name": "piqa",
|
| 28 |
+
"alias": "piqa",
|
| 29 |
+
"sample_len": 1838,
|
| 30 |
+
"acc,none": 0.5897714907508161,
|
| 31 |
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"acc_stderr,none": 0.011476256036359241,
|
| 32 |
+
"acc_norm,none": 0.588139281828074,
|
| 33 |
+
"acc_norm_stderr,none": 0.011483141106304523
|
| 34 |
+
},
|
| 35 |
+
"sciq": {
|
| 36 |
+
"name": "sciq",
|
| 37 |
+
"alias": "sciq",
|
| 38 |
+
"sample_len": 1000,
|
| 39 |
+
"acc,none": 0.705,
|
| 40 |
+
"acc_stderr,none": 0.014428554438445425,
|
| 41 |
+
"acc_norm,none": 0.613,
|
| 42 |
+
"acc_norm_stderr,none": 0.015410011955494015
|
| 43 |
+
},
|
| 44 |
+
"arc_easy": {
|
| 45 |
+
"name": "arc_easy",
|
| 46 |
+
"alias": "arc_easy",
|
| 47 |
+
"sample_len": 2376,
|
| 48 |
+
"acc,none": 0.4444444444444444,
|
| 49 |
+
"acc_stderr,none": 0.010196254838691634,
|
| 50 |
+
"acc_norm,none": 0.41035353535353536,
|
| 51 |
+
"acc_norm_stderr,none": 0.01009353125576533
|
| 52 |
+
},
|
| 53 |
+
"winogrande": {
|
| 54 |
+
"name": "winogrande",
|
| 55 |
+
"alias": "winogrande",
|
| 56 |
+
"sample_len": 1267,
|
| 57 |
+
"acc,none": 0.4972375690607735,
|
| 58 |
+
"acc_stderr,none": 0.014052271211616401
|
| 59 |
+
},
|
| 60 |
+
"blimp_adjunct_island": {
|
| 61 |
+
"name": "blimp_adjunct_island",
|
| 62 |
+
"alias": "blimp_adjunct_island",
|
| 63 |
+
"sample_len": 1000,
|
| 64 |
+
"acc,none": 0.779,
|
| 65 |
+
"acc_stderr,none": 0.01312750285969618
|
| 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": 0.904,
|
| 72 |
+
"acc_stderr,none": 0.009320454434783257
|
| 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": 0.978,
|
| 79 |
+
"acc_stderr,none": 0.004640855259274689
|
| 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": 0.705,
|
| 86 |
+
"acc_stderr,none": 0.014428554438445425
|
| 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": 0.897,
|
| 93 |
+
"acc_stderr,none": 0.009616833339695739
|
| 94 |
+
},
|
| 95 |
+
"blimp_causative": {
|
| 96 |
+
"name": "blimp_causative",
|
| 97 |
+
"alias": "blimp_causative",
|
| 98 |
+
"sample_len": 1000,
|
| 99 |
+
"acc,none": 0.691,
|
| 100 |
+
"acc_stderr,none": 0.014619600977206347
|
| 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": 0.519,
|
| 107 |
+
"acc_stderr,none": 0.015807874268505835
|
| 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": 0.357,
|
| 114 |
+
"acc_stderr,none": 0.01515852172148659
|
| 115 |
+
},
|
| 116 |
+
"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": 0.77,
|
| 121 |
+
"acc_stderr,none": 0.01331455133593608
|
| 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": 0.965,
|
| 128 |
+
"acc_stderr,none": 0.005814534272734903
|
| 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 |
+
"acc,none": 0.942,
|
| 135 |
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"acc_stderr,none": 0.0073953154557929906
|
| 136 |
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+
"blimp_transitive": {
|
| 467 |
+
"name": "blimp_transitive",
|
| 468 |
+
"alias": "blimp_transitive",
|
| 469 |
+
"sample_len": 1000,
|
| 470 |
+
"acc,none": 0.786,
|
| 471 |
+
"acc_stderr,none": 0.012975838021968847
|
| 472 |
+
},
|
| 473 |
+
"blimp_wh_island": {
|
| 474 |
+
"name": "blimp_wh_island",
|
| 475 |
+
"alias": "blimp_wh_island",
|
| 476 |
+
"sample_len": 1000,
|
| 477 |
+
"acc,none": 0.611,
|
| 478 |
+
"acc_stderr,none": 0.015424555647308514
|
| 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": 0.664,
|
| 485 |
+
"acc_stderr,none": 0.014944140233794895
|
| 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": 0.887,
|
| 492 |
+
"acc_stderr,none": 0.010016552866696773
|
| 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": 0.814,
|
| 499 |
+
"acc_stderr,none": 0.012310790208412926
|
| 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": 0.951,
|
| 506 |
+
"acc_stderr,none": 0.006829761756140959
|
| 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": 0.964,
|
| 513 |
+
"acc_stderr,none": 0.00589395781616553
|
| 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": 0.411,
|
| 520 |
+
"acc_stderr,none": 0.01556667341859915
|
| 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": 0.208,
|
| 527 |
+
"acc_stderr,none": 0.01284137457209706
|
| 528 |
+
},
|
| 529 |
+
"blimp": {
|
| 530 |
+
"alias": "blimp",
|
| 531 |
+
"name": "blimp",
|
| 532 |
+
"sample_len": 67000,
|
| 533 |
+
"acc,none": 0.744686567164179,
|
| 534 |
+
"acc_stderr,none": 0.0015155027283100756,
|
| 535 |
+
"sample_count": {
|
| 536 |
+
"acc,none": 67000
|
| 537 |
+
}
|
| 538 |
+
}
|
| 539 |
+
}
|
| 540 |
+
}
|
m12/config.json
ADDED
|
@@ -0,0 +1,49 @@
|
|
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|
|
|
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|
|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model_id": "m12",
|
| 3 |
+
"run_name": "m12-gqa-rope-dense-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": "gqa",
|
| 16 |
+
"gqa_num_kv_heads": 2,
|
| 17 |
+
"mla_latent_dim": 64,
|
| 18 |
+
"pos_type": "rope",
|
| 19 |
+
"rope_base": 10000,
|
| 20 |
+
"ffn_type": "dense",
|
| 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": 4,
|
| 36 |
+
"grad_accum_steps": 16,
|
| 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 |
+
}
|
m12/eval_results.json
ADDED
|
@@ -0,0 +1,212 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model_id": "m12",
|
| 3 |
+
"checkpoint": "results/m12/final.pt",
|
| 4 |
+
"trained_step": 15258,
|
| 5 |
+
"total_params": 58774528,
|
| 6 |
+
"active_params": 58774528,
|
| 7 |
+
"flops_per_forward": 117549056.0,
|
| 8 |
+
"val_loss": 3.4686521768569945,
|
| 9 |
+
"val_perplexity": 32.09345697667592,
|
| 10 |
+
"bits_per_token": 5.0042072941202935,
|
| 11 |
+
"ppl_tokens_evaluated": 655360,
|
| 12 |
+
"prefill_tok_per_sec": 193194.22812667364,
|
| 13 |
+
"inference_tok_per_sec": 212.31968241677103,
|
| 14 |
+
"inference_tok_per_sec_kvcache": 210.12757536665706,
|
| 15 |
+
"kvcache_speedup": 0.9896754411783124,
|
| 16 |
+
"gen_tokens": 128,
|
| 17 |
+
"peak_infer_vram_gb": 0.366,
|
| 18 |
+
"peak_train_vram_gb": 3.993,
|
| 19 |
+
"closeness_answer_ppl": 42.281,
|
| 20 |
+
"closeness_hit_rate": 0.4,
|
| 21 |
+
"closeness_token_f1": 0.033,
|
| 22 |
+
"closeness_n": 20,
|
| 23 |
+
"closeness_items": [
|
| 24 |
+
{
|
| 25 |
+
"prompt": "The capital of France is",
|
| 26 |
+
"answer": " Paris",
|
| 27 |
+
"generated": " the city of Paris.\n",
|
| 28 |
+
"answer_nll": 2.863,
|
| 29 |
+
"answer_ppl": 17.513,
|
| 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 Sichuan",
|
| 37 |
+
"answer_nll": 2.9536,
|
| 38 |
+
"answer_ppl": 19.174,
|
| 39 |
+
"hit": false,
|
| 40 |
+
"token_f1": 0.0
|
| 41 |
+
},
|
| 42 |
+
{
|
| 43 |
+
"prompt": "The largest planet in the solar system is",
|
| 44 |
+
"answer": " Jupiter",
|
| 45 |
+
"generated": " the Sun.\nThe Sun",
|
| 46 |
+
"answer_nll": 3.8845,
|
| 47 |
+
"answer_ppl": 48.642,
|
| 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 water is",
|
| 55 |
+
"answer_nll": 0.9818,
|
| 56 |
+
"answer_ppl": 2.669,
|
| 57 |
+
"hit": true,
|
| 58 |
+
"token_f1": 0.0
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"prompt": "The opposite of hot is",
|
| 62 |
+
"answer": " cold",
|
| 63 |
+
"generated": " the heat of the sun.",
|
| 64 |
+
"answer_nll": 4.4139,
|
| 65 |
+
"answer_ppl": 82.587,
|
| 66 |
+
"hit": false,
|
| 67 |
+
"token_f1": 0.0
|
| 68 |
+
},
|
| 69 |
+
{
|
| 70 |
+
"prompt": "The opposite of up is",
|
| 71 |
+
"answer": " down",
|
| 72 |
+
"generated": " the fact that the two are",
|
| 73 |
+
"answer_nll": 8.6555,
|
| 74 |
+
"answer_ppl": 5741.871,
|
| 75 |
+
"hit": false,
|
| 76 |
+
"token_f1": 0.0
|
| 77 |
+
},
|
| 78 |
+
{
|
| 79 |
+
"prompt": "Two plus two equals",
|
| 80 |
+
"answer": " four",
|
| 81 |
+
"generated": " to the total number of people",
|
| 82 |
+
"answer_nll": 5.2942,
|
| 83 |
+
"answer_ppl": 199.172,
|
| 84 |
+
"hit": false,
|
| 85 |
+
"token_f1": 0.0
|
| 86 |
+
},
|
| 87 |
+
{
|
| 88 |
+
"prompt": "The sun rises in the",
|
| 89 |
+
"answer": " east",
|
| 90 |
+
"generated": " sky and the sun is at",
|
| 91 |
+
"answer_nll": 3.463,
|
| 92 |
+
"answer_ppl": 31.914,
|
| 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 second president",
|
| 100 |
+
"answer_nll": 1.038,
|
| 101 |
+
"answer_ppl": 2.824,
|
| 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": 0.1077,
|
| 110 |
+
"answer_ppl": 1.114,
|
| 111 |
+
"hit": true,
|
| 112 |
+
"token_f1": 0.0
|
| 113 |
+
},
|
| 114 |
+
{
|
| 115 |
+
"prompt": "A triangle has three",
|
| 116 |
+
"answer": " sides",
|
| 117 |
+
"generated": " sides. The two sides of",
|
| 118 |
+
"answer_nll": 1.6775,
|
| 119 |
+
"answer_ppl": 5.352,
|
| 120 |
+
"hit": true,
|
| 121 |
+
"token_f1": 0.333
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"prompt": "The chemical symbol for gold is",
|
| 125 |
+
"answer": " Au",
|
| 126 |
+
"generated": " the gold ion.\nGold",
|
| 127 |
+
"answer_nll": 6.4909,
|
| 128 |
+
"answer_ppl": 659.103,
|
| 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 0.5\u00b0C",
|
| 136 |
+
"answer_nll": 4.9866,
|
| 137 |
+
"answer_ppl": 146.444,
|
| 138 |
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"hit": false,
|
| 139 |
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|
| 140 |
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|
| 141 |
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{
|
| 142 |
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"prompt": "The author of Romeo and Juliet is William",
|
| 143 |
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"answer": " Shakespeare",
|
| 144 |
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"generated": " Shakespeare\u2019s play Romeo",
|
| 145 |
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"answer_nll": 0.3631,
|
| 146 |
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"answer_ppl": 1.438,
|
| 147 |
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|
| 148 |
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| 149 |
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|
| 150 |
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{
|
| 151 |
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"prompt": "The Earth revolves around the",
|
| 152 |
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"answer": " Sun",
|
| 153 |
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"generated": " sun, and the sun is",
|
| 154 |
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"answer_nll": 2.4816,
|
| 155 |
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"answer_ppl": 11.961,
|
| 156 |
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"hit": true,
|
| 157 |
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"token_f1": 0.333
|
| 158 |
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},
|
| 159 |
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{
|
| 160 |
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"prompt": "The plural of mouse is",
|
| 161 |
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"answer": " mice",
|
| 162 |
+
"generated": " the same as the human.",
|
| 163 |
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"answer_nll": 9.4341,
|
| 164 |
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"answer_ppl": 12507.574,
|
| 165 |
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"hit": false,
|
| 166 |
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"token_f1": 0.0
|
| 167 |
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},
|
| 168 |
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{
|
| 169 |
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"prompt": "Photosynthesis occurs in the",
|
| 170 |
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"answer": " leaves",
|
| 171 |
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"generated": " brain, and the brain is",
|
| 172 |
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"answer_nll": 5.3131,
|
| 173 |
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"answer_ppl": 202.985,
|
| 174 |
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"hit": false,
|
| 175 |
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"token_f1": 0.0
|
| 176 |
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},
|
| 177 |
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{
|
| 178 |
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"prompt": "The human heart pumps",
|
| 179 |
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"answer": " blood",
|
| 180 |
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"generated": " are not only the heart pumps",
|
| 181 |
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"answer_nll": 3.9707,
|
| 182 |
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"answer_ppl": 53.021,
|
| 183 |
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"hit": false,
|
| 184 |
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"token_f1": 0.0
|
| 185 |
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},
|
| 186 |
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{
|
| 187 |
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"prompt": "The currency used in the United States is the",
|
| 188 |
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"answer": " dollar",
|
| 189 |
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"generated": " United States dollar.\nThe",
|
| 190 |
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"answer_nll": 3.4802,
|
| 191 |
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"answer_ppl": 32.465,
|
| 192 |
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"hit": true,
|
| 193 |
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"token_f1": 0.0
|
| 194 |
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},
|
| 195 |
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{
|
| 196 |
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"prompt": "The tallest animal in the world is the",
|
| 197 |
+
"answer": " giraffe",
|
| 198 |
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"generated": " largest in the world.\n",
|
| 199 |
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"answer_nll": 3.034,
|
| 200 |
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"answer_ppl": 20.781,
|
| 201 |
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"hit": false,
|
| 202 |
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"token_f1": 0.0
|
| 203 |
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}
|
| 204 |
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],
|
| 205 |
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"generation_samples": {
|
| 206 |
+
"The most important thing about sleep is": "The most important thing about sleep is to look for your own specific medical conditions, such as:\n- Heart conditions such as coronary heart disease, chronic heart failure, diabetes, and cancer.\n- If you have had any of the following:\n- Acute respiratory syndrome\n- High blood pressure\n- Heart disease\n- O",
|
| 207 |
+
"Scientists have discovered that": "Scientists have discovered that, in many ways, the human body is actually a computer system.\nThe first evidence for the existence of the human body is the presence of a long-lived entity. In a number of cases the body is not yet the subject of many other science studies, but in a much smaller number it",
|
| 208 |
+
"In the history of mathematics,": "In the history of mathematics, the term \"curriculum\" is often used to refer to the process in which schools use the term to describe the process in which a curriculum has been created. In schools, it is most commonly referred to as a \"curriculum\" or \"curriculum\" as it is also referred",
|
| 209 |
+
"Python code for prime number": "Python code for prime number of objects.\nHow to create a string using string\nTo create a string using string, you have to use a string you need. For example, we need the string:\n<stringname=\u201d\u201d\u201d </string>\nHow to create the string using string\nTo",
|
| 210 |
+
"The best way to learn a new language is": "The best way to learn a new language is to learn it in a second language. It is especially important to study the language in a way that is pleasing to the senses and allows you to build the foundation for yourself.\nFor instance, if you can\u2019t speak a language in a sentence, you can write a new sentence in it"
|
| 211 |
+
}
|
| 212 |
+
}
|
m12/model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c4c8761526970eb491bae3a948a4ffc4c106f88914a8a6df51182c5c80ad9acf
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| 3 |
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size 235107624
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