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Browse files- m05/benchmark_results.json +540 -0
- m05/config.json +49 -0
- m05/eval_results.json +212 -0
- m05/model.safetensors +3 -0
m05/benchmark_results.json
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| 1 |
+
{
|
| 2 |
+
"model_id": "m05",
|
| 3 |
+
"checkpoint": "results/m05/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": 1449.929701663543,
|
| 13 |
+
"perplexity_stderr,none": 80.47881641986959,
|
| 14 |
+
"acc,none": 0.1333203958858917,
|
| 15 |
+
"acc_stderr,none": 0.0047357597085190516
|
| 16 |
+
},
|
| 17 |
+
"hellaswag": {
|
| 18 |
+
"name": "hellaswag",
|
| 19 |
+
"alias": "hellaswag",
|
| 20 |
+
"sample_len": 10042,
|
| 21 |
+
"acc,none": 0.2713602867954591,
|
| 22 |
+
"acc_stderr,none": 0.0044375277328504974,
|
| 23 |
+
"acc_norm,none": 0.27165903206532566,
|
| 24 |
+
"acc_norm_stderr,none": 0.004439059440526545
|
| 25 |
+
},
|
| 26 |
+
"piqa": {
|
| 27 |
+
"name": "piqa",
|
| 28 |
+
"alias": "piqa",
|
| 29 |
+
"sample_len": 1838,
|
| 30 |
+
"acc,none": 0.5957562568008705,
|
| 31 |
+
"acc_stderr,none": 0.011449891763007486,
|
| 32 |
+
"acc_norm,none": 0.5788900979325353,
|
| 33 |
+
"acc_norm_stderr,none": 0.011519701059151354
|
| 34 |
+
},
|
| 35 |
+
"sciq": {
|
| 36 |
+
"name": "sciq",
|
| 37 |
+
"alias": "sciq",
|
| 38 |
+
"sample_len": 1000,
|
| 39 |
+
"acc,none": 0.665,
|
| 40 |
+
"acc_stderr,none": 0.014933117490932629,
|
| 41 |
+
"acc_norm,none": 0.595,
|
| 42 |
+
"acc_norm_stderr,none": 0.01553113699045296
|
| 43 |
+
},
|
| 44 |
+
"arc_easy": {
|
| 45 |
+
"name": "arc_easy",
|
| 46 |
+
"alias": "arc_easy",
|
| 47 |
+
"sample_len": 2376,
|
| 48 |
+
"acc,none": 0.4351851851851852,
|
| 49 |
+
"acc_stderr,none": 0.010173216430370821,
|
| 50 |
+
"acc_norm,none": 0.3947811447811448,
|
| 51 |
+
"acc_norm_stderr,none": 0.01003003893588357
|
| 52 |
+
},
|
| 53 |
+
"winogrande": {
|
| 54 |
+
"name": "winogrande",
|
| 55 |
+
"alias": "winogrande",
|
| 56 |
+
"sample_len": 1267,
|
| 57 |
+
"acc,none": 0.5240726124704025,
|
| 58 |
+
"acc_stderr,none": 0.014036189665395169
|
| 59 |
+
},
|
| 60 |
+
"blimp_adjunct_island": {
|
| 61 |
+
"name": "blimp_adjunct_island",
|
| 62 |
+
"alias": "blimp_adjunct_island",
|
| 63 |
+
"sample_len": 1000,
|
| 64 |
+
"acc,none": 0.754,
|
| 65 |
+
"acc_stderr,none": 0.01362606581775054
|
| 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": 0.842,
|
| 72 |
+
"acc_stderr,none": 0.011539894677559635
|
| 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": 0.979,
|
| 79 |
+
"acc_stderr,none": 0.0045364721513065165
|
| 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": 0.743,
|
| 86 |
+
"acc_stderr,none": 0.013825416526895026
|
| 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": 0.914,
|
| 93 |
+
"acc_stderr,none": 0.008870325962594761
|
| 94 |
+
},
|
| 95 |
+
"blimp_causative": {
|
| 96 |
+
"name": "blimp_causative",
|
| 97 |
+
"alias": "blimp_causative",
|
| 98 |
+
"sample_len": 1000,
|
| 99 |
+
"acc,none": 0.678,
|
| 100 |
+
"acc_stderr,none": 0.014782913600996745
|
| 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": 0.496,
|
| 107 |
+
"acc_stderr,none": 0.01581879370351084
|
| 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": 0.273,
|
| 114 |
+
"acc_stderr,none": 0.014095022868717513
|
| 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": 0.697,
|
| 121 |
+
"acc_stderr,none": 0.014539683710535193
|
| 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": 0.953,
|
| 128 |
+
"acc_stderr,none": 0.006695956678163013
|
| 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": 0.929,
|
| 135 |
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"acc_stderr,none": 0.008125578442487959
|
| 136 |
+
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+
"blimp_transitive": {
|
| 467 |
+
"name": "blimp_transitive",
|
| 468 |
+
"alias": "blimp_transitive",
|
| 469 |
+
"sample_len": 1000,
|
| 470 |
+
"acc,none": 0.797,
|
| 471 |
+
"acc_stderr,none": 0.01272607374459825
|
| 472 |
+
},
|
| 473 |
+
"blimp_wh_island": {
|
| 474 |
+
"name": "blimp_wh_island",
|
| 475 |
+
"alias": "blimp_wh_island",
|
| 476 |
+
"sample_len": 1000,
|
| 477 |
+
"acc,none": 0.657,
|
| 478 |
+
"acc_stderr,none": 0.015019206922357005
|
| 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": 0.667,
|
| 485 |
+
"acc_stderr,none": 0.014910846164230029
|
| 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": 0.898,
|
| 492 |
+
"acc_stderr,none": 0.009575368801653944
|
| 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": 0.867,
|
| 499 |
+
"acc_stderr,none": 0.010743669132397295
|
| 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": 0.978,
|
| 506 |
+
"acc_stderr,none": 0.004640855259274689
|
| 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": 0.979,
|
| 513 |
+
"acc_stderr,none": 0.0045364721513065165
|
| 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": 0.375,
|
| 520 |
+
"acc_stderr,none": 0.015316971293620996
|
| 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": 0.13,
|
| 527 |
+
"acc_stderr,none": 0.010640169792499236
|
| 528 |
+
},
|
| 529 |
+
"blimp": {
|
| 530 |
+
"alias": "blimp",
|
| 531 |
+
"name": "blimp",
|
| 532 |
+
"sample_len": 67000,
|
| 533 |
+
"acc,none": 0.744,
|
| 534 |
+
"acc_stderr,none": 0.0014745655788693894,
|
| 535 |
+
"sample_count": {
|
| 536 |
+
"acc,none": 67000
|
| 537 |
+
}
|
| 538 |
+
}
|
| 539 |
+
}
|
| 540 |
+
}
|
m05/config.json
ADDED
|
@@ -0,0 +1,49 @@
|
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|
|
|
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|
|
|
|
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|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model_id": "m05",
|
| 3 |
+
"run_name": "m05-mla-learned-dense-adamw",
|
| 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": "mla",
|
| 16 |
+
"gqa_num_kv_heads": 2,
|
| 17 |
+
"mla_latent_dim": 64,
|
| 18 |
+
"pos_type": "learned",
|
| 19 |
+
"rope_base": 10000,
|
| 20 |
+
"ffn_type": "dense",
|
| 21 |
+
"moe_num_experts": 8,
|
| 22 |
+
"moe_top_k": 2,
|
| 23 |
+
"optimizer": "adamw",
|
| 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 |
+
}
|
m05/eval_results.json
ADDED
|
@@ -0,0 +1,212 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model_id": "m05",
|
| 3 |
+
"checkpoint": "results/m05/final.pt",
|
| 4 |
+
"trained_step": 15258,
|
| 5 |
+
"total_params": 58905600,
|
| 6 |
+
"active_params": 58905600,
|
| 7 |
+
"flops_per_forward": 117811200.0,
|
| 8 |
+
"val_loss": 3.6450090527534487,
|
| 9 |
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"val_perplexity": 38.28311941763062,
|
| 10 |
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"bits_per_token": 5.258636484402778,
|
| 11 |
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"ppl_tokens_evaluated": 655360,
|
| 12 |
+
"prefill_tok_per_sec": 199410.57573568032,
|
| 13 |
+
"inference_tok_per_sec": 274.05970935539136,
|
| 14 |
+
"inference_tok_per_sec_kvcache": 258.5231609623804,
|
| 15 |
+
"kvcache_speedup": 0.9433096224557996,
|
| 16 |
+
"gen_tokens": 128,
|
| 17 |
+
"peak_infer_vram_gb": 0.363,
|
| 18 |
+
"peak_train_vram_gb": 4.018,
|
| 19 |
+
"closeness_answer_ppl": 45.158,
|
| 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 capital of France. The",
|
| 28 |
+
"answer_nll": 4.2363,
|
| 29 |
+
"answer_ppl": 69.15,
|
| 30 |
+
"hit": false,
|
| 31 |
+
"token_f1": 0.0
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"prompt": "The capital of Japan is",
|
| 35 |
+
"answer": " Tokyo",
|
| 36 |
+
"generated": " the capital of Japan. The",
|
| 37 |
+
"answer_nll": 2.4087,
|
| 38 |
+
"answer_ppl": 11.119,
|
| 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 Solar",
|
| 46 |
+
"answer_nll": 2.9891,
|
| 47 |
+
"answer_ppl": 19.867,
|
| 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": 1.8684,
|
| 56 |
+
"answer_ppl": 6.478,
|
| 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": 5.864,
|
| 65 |
+
"answer_ppl": 352.127,
|
| 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": 7.9381,
|
| 74 |
+
"answer_ppl": 2802.109,
|
| 75 |
+
"hit": false,
|
| 76 |
+
"token_f1": 0.0
|
| 77 |
+
},
|
| 78 |
+
{
|
| 79 |
+
"prompt": "Two plus two equals",
|
| 80 |
+
"answer": " four",
|
| 81 |
+
"generated": " two equals two equals two equals",
|
| 82 |
+
"answer_nll": 3.7705,
|
| 83 |
+
"answer_ppl": 43.401,
|
| 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 rises",
|
| 91 |
+
"answer_nll": 3.7744,
|
| 92 |
+
"answer_ppl": 43.573,
|
| 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, who was the first",
|
| 100 |
+
"answer_nll": 1.4935,
|
| 101 |
+
"answer_ppl": 4.453,
|
| 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": 0.5255,
|
| 110 |
+
"answer_ppl": 1.691,
|
| 111 |
+
"hit": true,
|
| 112 |
+
"token_f1": 0.0
|
| 113 |
+
},
|
| 114 |
+
{
|
| 115 |
+
"prompt": "A triangle has three",
|
| 116 |
+
"answer": " sides",
|
| 117 |
+
"generated": " sides, and the other two",
|
| 118 |
+
"answer_nll": 1.6667,
|
| 119 |
+
"answer_ppl": 5.295,
|
| 120 |
+
"hit": true,
|
| 121 |
+
"token_f1": 0.0
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"prompt": "The chemical symbol for gold is",
|
| 125 |
+
"answer": " Au",
|
| 126 |
+
"generated": " the gold symbol for gold.",
|
| 127 |
+
"answer_nll": 10.7358,
|
| 128 |
+
"answer_ppl": 45971.631,
|
| 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": " the temperature of the water.",
|
| 136 |
+
"answer_nll": 6.1898,
|
| 137 |
+
"answer_ppl": 487.751,
|
| 138 |
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"hit": false,
|
| 139 |
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"token_f1": 0.0
|
| 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 |
+
"answer": " Shakespeare",
|
| 144 |
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"generated": " Shakespeare, a play that is",
|
| 145 |
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"answer_nll": 0.4314,
|
| 146 |
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"answer_ppl": 1.539,
|
| 147 |
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"hit": true,
|
| 148 |
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"token_f1": 0.0
|
| 149 |
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},
|
| 150 |
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{
|
| 151 |
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"prompt": "The Earth revolves around the",
|
| 152 |
+
"answer": " Sun",
|
| 153 |
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"generated": " sun, and the sun is",
|
| 154 |
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"answer_nll": 1.5376,
|
| 155 |
+
"answer_ppl": 4.653,
|
| 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 |
+
"prompt": "The plural of mouse is",
|
| 161 |
+
"answer": " mice",
|
| 162 |
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"generated": " the mouse.\nThe mouse",
|
| 163 |
+
"answer_nll": 7.642,
|
| 164 |
+
"answer_ppl": 2083.852,
|
| 165 |
+
"hit": false,
|
| 166 |
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"token_f1": 0.0
|
| 167 |
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},
|
| 168 |
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{
|
| 169 |
+
"prompt": "Photosynthesis occurs in the",
|
| 170 |
+
"answer": " leaves",
|
| 171 |
+
"generated": " form of carbon dioxide, which",
|
| 172 |
+
"answer_nll": 3.6027,
|
| 173 |
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"answer_ppl": 36.699,
|
| 174 |
+
"hit": false,
|
| 175 |
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"token_f1": 0.0
|
| 176 |
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},
|
| 177 |
+
{
|
| 178 |
+
"prompt": "The human heart pumps",
|
| 179 |
+
"answer": " blood",
|
| 180 |
+
"generated": " blood to the brain, and",
|
| 181 |
+
"answer_nll": 2.2524,
|
| 182 |
+
"answer_ppl": 9.511,
|
| 183 |
+
"hit": true,
|
| 184 |
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"token_f1": 0.333
|
| 185 |
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},
|
| 186 |
+
{
|
| 187 |
+
"prompt": "The currency used in the United States is the",
|
| 188 |
+
"answer": " dollar",
|
| 189 |
+
"generated": " United States dollar.\nThe",
|
| 190 |
+
"answer_nll": 3.7378,
|
| 191 |
+
"answer_ppl": 42.006,
|
| 192 |
+
"hit": true,
|
| 193 |
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"token_f1": 0.0
|
| 194 |
+
},
|
| 195 |
+
{
|
| 196 |
+
"prompt": "The tallest animal in the world is the",
|
| 197 |
+
"answer": " giraffe",
|
| 198 |
+
"generated": " largest of the world\u2019",
|
| 199 |
+
"answer_nll": 3.5384,
|
| 200 |
+
"answer_ppl": 34.413,
|
| 201 |
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"hit": false,
|
| 202 |
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"token_f1": 0.0
|
| 203 |
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}
|
| 204 |
+
],
|
| 205 |
+
"generation_samples": {
|
| 206 |
+
"The most important thing about sleep is": "The most important thing about sleep is, the only thing that we can achieve after just a few hours of sleep can do so well.\nAnd even more importantly, sleep helps to focus on the body, our body, and the rest we function in.\nThe most important thing about sleep is the fact that it helps to focus on",
|
| 207 |
+
"Scientists have discovered that": "Scientists have discovered that, in many ways, the virus can live in the blood cells of mice, mice or pigs.\n\u201cWe don\u2019t know yet whether that\u2019s the case, but it\u2019s not yet clear how it spreads,\u201d said researcher Prof. Christopher Ebel,",
|
| 208 |
+
"In the history of mathematics,": "In the history of mathematics, the term arithmetic is used, from the Latin \"constitution\", which means \u201cconstruction\u201d or \u201cconstruction\u201d or \u201cconstruction\u201d, and the term, for a given problem, can be combined into a number of ways.\nIn the first instance,",
|
| 209 |
+
"Python code for prime number": "Python code for prime number of values for the number of values. In addition, for example, \u201c2\u201d or \u201c3\u201d, the first value is \u201c3\u201d.\nNote that the number of values is a function of the number of elements in\n- Set-the-T,",
|
| 210 |
+
"The best way to learn a new language is": "The best way to learn a new language is to learn about the world we live in.\nThe new language is not only a language, but a language that includes the words and phrases we already know. It also includes the use of the word \u201cI,\u201d as the first sentence in our language and the last word with the first"
|
| 211 |
+
}
|
| 212 |
+
}
|
m05/model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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|
|
|
|
|
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:58a895aabf6b99ca2f33b0d326a91e8ef424c09a7316b48a803b855b2da4a534
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size 235633120
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