ada_model / checkpoint-75 /trainer_state.json
nlouis's picture
Upload folder using huggingface_hub
1684e24 verified
{
"best_global_step": null,
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 3.0,
"eval_steps": 500,
"global_step": 75,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"entropy": 0.5240228176116943,
"epoch": 0.04,
"grad_norm": 37.29308319091797,
"learning_rate": 2e-05,
"loss": 6.9422,
"mean_token_accuracy": 0.47347480058670044,
"num_tokens": 758.0,
"step": 1
},
{
"entropy": 0.5185598134994507,
"epoch": 0.08,
"grad_norm": 37.85886764526367,
"learning_rate": 2e-05,
"loss": 6.8565,
"mean_token_accuracy": 0.47270306944847107,
"num_tokens": 1513.0,
"step": 2
},
{
"entropy": 0.5363126993179321,
"epoch": 0.12,
"grad_norm": 36.92781066894531,
"learning_rate": 2e-05,
"loss": 6.6136,
"mean_token_accuracy": 0.47562581300735474,
"num_tokens": 2276.0,
"step": 3
},
{
"entropy": 0.5541151762008667,
"epoch": 0.16,
"grad_norm": 37.46426773071289,
"learning_rate": 2e-05,
"loss": 6.4114,
"mean_token_accuracy": 0.47200000286102295,
"num_tokens": 3030.0,
"step": 4
},
{
"entropy": 0.6072134375572205,
"epoch": 0.2,
"grad_norm": 36.258392333984375,
"learning_rate": 2e-05,
"loss": 5.9563,
"mean_token_accuracy": 0.4704301059246063,
"num_tokens": 3778.0,
"step": 5
},
{
"entropy": 0.6346766948699951,
"epoch": 0.24,
"grad_norm": 34.2164421081543,
"learning_rate": 2e-05,
"loss": 5.4104,
"mean_token_accuracy": 0.48868176341056824,
"num_tokens": 4533.0,
"step": 6
},
{
"entropy": 0.699142575263977,
"epoch": 0.28,
"grad_norm": 31.32328987121582,
"learning_rate": 2e-05,
"loss": 4.9817,
"mean_token_accuracy": 0.48806366324424744,
"num_tokens": 5291.0,
"step": 7
},
{
"entropy": 0.7639284133911133,
"epoch": 0.32,
"grad_norm": 27.981550216674805,
"learning_rate": 2e-05,
"loss": 4.5891,
"mean_token_accuracy": 0.5134048461914062,
"num_tokens": 6041.0,
"step": 8
},
{
"entropy": 0.8184663653373718,
"epoch": 0.36,
"grad_norm": 23.888887405395508,
"learning_rate": 2e-05,
"loss": 4.1021,
"mean_token_accuracy": 0.535380482673645,
"num_tokens": 6794.0,
"step": 9
},
{
"entropy": 0.8713943362236023,
"epoch": 0.4,
"grad_norm": 21.27410125732422,
"learning_rate": 2e-05,
"loss": 3.863,
"mean_token_accuracy": 0.5392809510231018,
"num_tokens": 7549.0,
"step": 10
},
{
"entropy": 0.9519356489181519,
"epoch": 0.44,
"grad_norm": 18.26158905029297,
"learning_rate": 2e-05,
"loss": 3.5874,
"mean_token_accuracy": 0.5420560836791992,
"num_tokens": 8302.0,
"step": 11
},
{
"entropy": 1.025558352470398,
"epoch": 0.48,
"grad_norm": 16.051610946655273,
"learning_rate": 2e-05,
"loss": 3.3905,
"mean_token_accuracy": 0.5483443737030029,
"num_tokens": 9061.0,
"step": 12
},
{
"entropy": 1.0597870349884033,
"epoch": 0.52,
"grad_norm": 13.387225151062012,
"learning_rate": 2e-05,
"loss": 3.1501,
"mean_token_accuracy": 0.5702811479568481,
"num_tokens": 9812.0,
"step": 13
},
{
"entropy": 1.1256167888641357,
"epoch": 0.56,
"grad_norm": 11.642187118530273,
"learning_rate": 2e-05,
"loss": 2.9905,
"mean_token_accuracy": 0.5778961181640625,
"num_tokens": 10567.0,
"step": 14
},
{
"entropy": 1.1595126390457153,
"epoch": 0.6,
"grad_norm": 10.657787322998047,
"learning_rate": 2e-05,
"loss": 2.8271,
"mean_token_accuracy": 0.5927419066429138,
"num_tokens": 11315.0,
"step": 15
},
{
"entropy": 1.2265969514846802,
"epoch": 0.64,
"grad_norm": 9.537993431091309,
"learning_rate": 2e-05,
"loss": 2.749,
"mean_token_accuracy": 0.5964912176132202,
"num_tokens": 12060.0,
"step": 16
},
{
"entropy": 1.2593307495117188,
"epoch": 0.68,
"grad_norm": 8.315566062927246,
"learning_rate": 2e-05,
"loss": 2.5743,
"mean_token_accuracy": 0.6169934868812561,
"num_tokens": 12829.0,
"step": 17
},
{
"entropy": 1.3245295286178589,
"epoch": 0.72,
"grad_norm": 7.915526390075684,
"learning_rate": 2e-05,
"loss": 2.5367,
"mean_token_accuracy": 0.6194332242012024,
"num_tokens": 13574.0,
"step": 18
},
{
"entropy": 1.3604302406311035,
"epoch": 0.76,
"grad_norm": 7.328187942504883,
"learning_rate": 2e-05,
"loss": 2.4018,
"mean_token_accuracy": 0.6255033612251282,
"num_tokens": 14323.0,
"step": 19
},
{
"entropy": 1.3951760530471802,
"epoch": 0.8,
"grad_norm": 6.733570098876953,
"learning_rate": 2e-05,
"loss": 2.317,
"mean_token_accuracy": 0.635046124458313,
"num_tokens": 15086.0,
"step": 20
},
{
"entropy": 1.4354883432388306,
"epoch": 0.84,
"grad_norm": 6.525688648223877,
"learning_rate": 2e-05,
"loss": 2.2795,
"mean_token_accuracy": 0.6360052824020386,
"num_tokens": 15851.0,
"step": 21
},
{
"entropy": 1.4653663635253906,
"epoch": 0.88,
"grad_norm": 6.118790149688721,
"learning_rate": 2e-05,
"loss": 2.1621,
"mean_token_accuracy": 0.6416107416152954,
"num_tokens": 16600.0,
"step": 22
},
{
"entropy": 1.4949076175689697,
"epoch": 0.92,
"grad_norm": 5.929473400115967,
"learning_rate": 2e-05,
"loss": 2.1265,
"mean_token_accuracy": 0.6526458859443665,
"num_tokens": 17341.0,
"step": 23
},
{
"entropy": 1.4969980716705322,
"epoch": 0.96,
"grad_norm": 5.519643783569336,
"learning_rate": 2e-05,
"loss": 2.0365,
"mean_token_accuracy": 0.6627296805381775,
"num_tokens": 18107.0,
"step": 24
},
{
"entropy": 1.5308914184570312,
"epoch": 1.0,
"grad_norm": 5.461964130401611,
"learning_rate": 2e-05,
"loss": 1.9552,
"mean_token_accuracy": 0.6851119995117188,
"num_tokens": 18870.0,
"step": 25
},
{
"entropy": 1.531392216682434,
"epoch": 1.04,
"grad_norm": 5.313822269439697,
"learning_rate": 2e-05,
"loss": 1.8633,
"mean_token_accuracy": 0.7098515629768372,
"num_tokens": 19615.0,
"step": 26
},
{
"entropy": 1.5274267196655273,
"epoch": 1.08,
"grad_norm": 5.325898170471191,
"learning_rate": 2e-05,
"loss": 1.9049,
"mean_token_accuracy": 0.7068965435028076,
"num_tokens": 20373.0,
"step": 27
},
{
"entropy": 1.5113599300384521,
"epoch": 1.12,
"grad_norm": 5.022428512573242,
"learning_rate": 2e-05,
"loss": 1.7917,
"mean_token_accuracy": 0.7334217429161072,
"num_tokens": 21131.0,
"step": 28
},
{
"entropy": 1.4889423847198486,
"epoch": 1.16,
"grad_norm": 4.645327568054199,
"learning_rate": 2e-05,
"loss": 1.7032,
"mean_token_accuracy": 0.7447090148925781,
"num_tokens": 21891.0,
"step": 29
},
{
"entropy": 1.4870576858520508,
"epoch": 1.2,
"grad_norm": 4.541719913482666,
"learning_rate": 2e-05,
"loss": 1.6655,
"mean_token_accuracy": 0.7360000014305115,
"num_tokens": 22645.0,
"step": 30
},
{
"entropy": 1.4613386392593384,
"epoch": 1.24,
"grad_norm": 4.408016204833984,
"learning_rate": 2e-05,
"loss": 1.6312,
"mean_token_accuracy": 0.7432795763015747,
"num_tokens": 23393.0,
"step": 31
},
{
"entropy": 1.4358580112457275,
"epoch": 1.28,
"grad_norm": 4.297278881072998,
"learning_rate": 2e-05,
"loss": 1.5793,
"mean_token_accuracy": 0.7510094046592712,
"num_tokens": 24140.0,
"step": 32
},
{
"entropy": 1.3814220428466797,
"epoch": 1.32,
"grad_norm": 4.178844451904297,
"learning_rate": 2e-05,
"loss": 1.4675,
"mean_token_accuracy": 0.7724867463111877,
"num_tokens": 24900.0,
"step": 33
},
{
"entropy": 1.3687061071395874,
"epoch": 1.3599999999999999,
"grad_norm": 4.218804836273193,
"learning_rate": 2e-05,
"loss": 1.4288,
"mean_token_accuracy": 0.7776280045509338,
"num_tokens": 25646.0,
"step": 34
},
{
"entropy": 1.3419899940490723,
"epoch": 1.4,
"grad_norm": 4.205630302429199,
"learning_rate": 2e-05,
"loss": 1.4188,
"mean_token_accuracy": 0.7807486653327942,
"num_tokens": 26398.0,
"step": 35
},
{
"entropy": 1.2921583652496338,
"epoch": 1.44,
"grad_norm": 3.8976969718933105,
"learning_rate": 2e-05,
"loss": 1.3454,
"mean_token_accuracy": 0.7848605513572693,
"num_tokens": 27155.0,
"step": 36
},
{
"entropy": 1.2668341398239136,
"epoch": 1.48,
"grad_norm": 3.746513843536377,
"learning_rate": 2e-05,
"loss": 1.3557,
"mean_token_accuracy": 0.7797062993049622,
"num_tokens": 27908.0,
"step": 37
},
{
"entropy": 1.228274941444397,
"epoch": 1.52,
"grad_norm": 3.520526170730591,
"learning_rate": 2e-05,
"loss": 1.2668,
"mean_token_accuracy": 0.8029294013977051,
"num_tokens": 28663.0,
"step": 38
},
{
"entropy": 1.1697431802749634,
"epoch": 1.56,
"grad_norm": 3.4416074752807617,
"learning_rate": 2e-05,
"loss": 1.1742,
"mean_token_accuracy": 0.8176870942115784,
"num_tokens": 29402.0,
"step": 39
},
{
"entropy": 1.130076289176941,
"epoch": 1.6,
"grad_norm": 3.223904848098755,
"learning_rate": 2e-05,
"loss": 1.1646,
"mean_token_accuracy": 0.8208168745040894,
"num_tokens": 30165.0,
"step": 40
},
{
"entropy": 1.1070514917373657,
"epoch": 1.6400000000000001,
"grad_norm": 3.213395118713379,
"learning_rate": 2e-05,
"loss": 1.1102,
"mean_token_accuracy": 0.8348745107650757,
"num_tokens": 30926.0,
"step": 41
},
{
"entropy": 1.0644617080688477,
"epoch": 1.6800000000000002,
"grad_norm": 3.1568286418914795,
"learning_rate": 2e-05,
"loss": 1.0741,
"mean_token_accuracy": 0.8320000171661377,
"num_tokens": 31680.0,
"step": 42
},
{
"entropy": 1.031175971031189,
"epoch": 1.72,
"grad_norm": 3.1758995056152344,
"learning_rate": 2e-05,
"loss": 1.0527,
"mean_token_accuracy": 0.8251001238822937,
"num_tokens": 32433.0,
"step": 43
},
{
"entropy": 0.9702178835868835,
"epoch": 1.76,
"grad_norm": 3.0158236026763916,
"learning_rate": 2e-05,
"loss": 0.9569,
"mean_token_accuracy": 0.8379814028739929,
"num_tokens": 33190.0,
"step": 44
},
{
"entropy": 0.9418991208076477,
"epoch": 1.8,
"grad_norm": 3.095254898071289,
"learning_rate": 2e-05,
"loss": 0.9229,
"mean_token_accuracy": 0.852150559425354,
"num_tokens": 33938.0,
"step": 45
},
{
"entropy": 0.8792616128921509,
"epoch": 1.8399999999999999,
"grad_norm": 3.1904547214508057,
"learning_rate": 2e-05,
"loss": 0.8814,
"mean_token_accuracy": 0.8521400690078735,
"num_tokens": 34713.0,
"step": 46
},
{
"entropy": 0.8644114136695862,
"epoch": 1.88,
"grad_norm": 3.1296632289886475,
"learning_rate": 2e-05,
"loss": 0.9185,
"mean_token_accuracy": 0.8663967847824097,
"num_tokens": 35458.0,
"step": 47
},
{
"entropy": 0.8369636535644531,
"epoch": 1.92,
"grad_norm": 3.080310106277466,
"learning_rate": 2e-05,
"loss": 0.8598,
"mean_token_accuracy": 0.875,
"num_tokens": 36214.0,
"step": 48
},
{
"entropy": 0.7779583930969238,
"epoch": 1.96,
"grad_norm": 2.9825854301452637,
"learning_rate": 2e-05,
"loss": 0.757,
"mean_token_accuracy": 0.8845144510269165,
"num_tokens": 36980.0,
"step": 49
},
{
"entropy": 0.7366280555725098,
"epoch": 2.0,
"grad_norm": 3.0169920921325684,
"learning_rate": 2e-05,
"loss": 0.7402,
"mean_token_accuracy": 0.8928571343421936,
"num_tokens": 37740.0,
"step": 50
},
{
"entropy": 0.7010611891746521,
"epoch": 2.04,
"grad_norm": 3.399986743927002,
"learning_rate": 2e-05,
"loss": 0.7593,
"mean_token_accuracy": 0.8872870206832886,
"num_tokens": 38507.0,
"step": 51
},
{
"entropy": 0.6273115873336792,
"epoch": 2.08,
"grad_norm": 3.619697332382202,
"learning_rate": 2e-05,
"loss": 0.6621,
"mean_token_accuracy": 0.9089692234992981,
"num_tokens": 39258.0,
"step": 52
},
{
"entropy": 0.5995044708251953,
"epoch": 2.12,
"grad_norm": 2.8443078994750977,
"learning_rate": 2e-05,
"loss": 0.662,
"mean_token_accuracy": 0.9167767763137817,
"num_tokens": 40019.0,
"step": 53
},
{
"entropy": 0.5483225584030151,
"epoch": 2.16,
"grad_norm": 2.8451199531555176,
"learning_rate": 2e-05,
"loss": 0.575,
"mean_token_accuracy": 0.929427444934845,
"num_tokens": 40774.0,
"step": 54
},
{
"entropy": 0.5085722208023071,
"epoch": 2.2,
"grad_norm": 2.7123143672943115,
"learning_rate": 2e-05,
"loss": 0.5672,
"mean_token_accuracy": 0.9348404407501221,
"num_tokens": 41530.0,
"step": 55
},
{
"entropy": 0.4458790123462677,
"epoch": 2.24,
"grad_norm": 2.668097496032715,
"learning_rate": 2e-05,
"loss": 0.5034,
"mean_token_accuracy": 0.9419702887535095,
"num_tokens": 42275.0,
"step": 56
},
{
"entropy": 0.3930673599243164,
"epoch": 2.2800000000000002,
"grad_norm": 2.5482311248779297,
"learning_rate": 2e-05,
"loss": 0.5078,
"mean_token_accuracy": 0.9355263113975525,
"num_tokens": 43039.0,
"step": 57
},
{
"entropy": 0.37228837609291077,
"epoch": 2.32,
"grad_norm": 2.443922281265259,
"learning_rate": 2e-05,
"loss": 0.4665,
"mean_token_accuracy": 0.9482071995735168,
"num_tokens": 43796.0,
"step": 58
},
{
"entropy": 0.3517550826072693,
"epoch": 2.36,
"grad_norm": 2.3463053703308105,
"learning_rate": 2e-05,
"loss": 0.4632,
"mean_token_accuracy": 0.9378378391265869,
"num_tokens": 44540.0,
"step": 59
},
{
"entropy": 0.33203697204589844,
"epoch": 2.4,
"grad_norm": 2.6731350421905518,
"learning_rate": 2e-05,
"loss": 0.4491,
"mean_token_accuracy": 0.9372549057006836,
"num_tokens": 45309.0,
"step": 60
},
{
"entropy": 0.31520795822143555,
"epoch": 2.44,
"grad_norm": 2.3959364891052246,
"learning_rate": 2e-05,
"loss": 0.44,
"mean_token_accuracy": 0.9494680762290955,
"num_tokens": 46065.0,
"step": 61
},
{
"entropy": 0.3004280626773834,
"epoch": 2.48,
"grad_norm": 2.1749024391174316,
"learning_rate": 2e-05,
"loss": 0.4511,
"mean_token_accuracy": 0.9522546529769897,
"num_tokens": 46823.0,
"step": 62
},
{
"entropy": 0.287904292345047,
"epoch": 2.52,
"grad_norm": 2.184871196746826,
"learning_rate": 2e-05,
"loss": 0.4058,
"mean_token_accuracy": 0.9521276354789734,
"num_tokens": 47579.0,
"step": 63
},
{
"entropy": 0.28218233585357666,
"epoch": 2.56,
"grad_norm": 2.27091121673584,
"learning_rate": 2e-05,
"loss": 0.3679,
"mean_token_accuracy": 0.9529569745063782,
"num_tokens": 48327.0,
"step": 64
},
{
"entropy": 0.2818812429904938,
"epoch": 2.6,
"grad_norm": 2.9275169372558594,
"learning_rate": 2e-05,
"loss": 0.3858,
"mean_token_accuracy": 0.9478609561920166,
"num_tokens": 49079.0,
"step": 65
},
{
"entropy": 0.2774568200111389,
"epoch": 2.64,
"grad_norm": 2.837167978286743,
"learning_rate": 2e-05,
"loss": 0.3639,
"mean_token_accuracy": 0.9430463314056396,
"num_tokens": 49838.0,
"step": 66
},
{
"entropy": 0.2726022005081177,
"epoch": 2.68,
"grad_norm": 2.2975914478302,
"learning_rate": 2e-05,
"loss": 0.3028,
"mean_token_accuracy": 0.9518072009086609,
"num_tokens": 50589.0,
"step": 67
},
{
"entropy": 0.25494953989982605,
"epoch": 2.7199999999999998,
"grad_norm": 2.0497214794158936,
"learning_rate": 2e-05,
"loss": 0.2769,
"mean_token_accuracy": 0.9570469856262207,
"num_tokens": 51338.0,
"step": 68
},
{
"entropy": 0.2599942982196808,
"epoch": 2.76,
"grad_norm": 2.4737048149108887,
"learning_rate": 2e-05,
"loss": 0.336,
"mean_token_accuracy": 0.9518072009086609,
"num_tokens": 52089.0,
"step": 69
},
{
"entropy": 0.24719160795211792,
"epoch": 2.8,
"grad_norm": 2.1889803409576416,
"learning_rate": 2e-05,
"loss": 0.3006,
"mean_token_accuracy": 0.9491298794746399,
"num_tokens": 52840.0,
"step": 70
},
{
"entropy": 0.24826745688915253,
"epoch": 2.84,
"grad_norm": 2.0455644130706787,
"learning_rate": 2e-05,
"loss": 0.2918,
"mean_token_accuracy": 0.948344349861145,
"num_tokens": 53599.0,
"step": 71
},
{
"entropy": 0.2431359887123108,
"epoch": 2.88,
"grad_norm": 1.8650648593902588,
"learning_rate": 2e-05,
"loss": 0.2582,
"mean_token_accuracy": 0.9523809552192688,
"num_tokens": 54359.0,
"step": 72
},
{
"entropy": 0.24409686028957367,
"epoch": 2.92,
"grad_norm": 2.3259599208831787,
"learning_rate": 2e-05,
"loss": 0.2527,
"mean_token_accuracy": 0.960106372833252,
"num_tokens": 55115.0,
"step": 73
},
{
"entropy": 0.2385331094264984,
"epoch": 2.96,
"grad_norm": 1.3533285856246948,
"learning_rate": 2e-05,
"loss": 0.2706,
"mean_token_accuracy": 0.9580514430999756,
"num_tokens": 55858.0,
"step": 74
},
{
"entropy": 0.24642708897590637,
"epoch": 3.0,
"grad_norm": 1.1475350856781006,
"learning_rate": 2e-05,
"loss": 0.2543,
"mean_token_accuracy": 0.9598930478096008,
"num_tokens": 56610.0,
"step": 75
}
],
"logging_steps": 1,
"max_steps": 200,
"num_input_tokens_seen": 0,
"num_train_epochs": 8,
"save_steps": 500,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": false
},
"attributes": {}
}
},
"total_flos": 36069875939328.0,
"train_batch_size": 4,
"trial_name": null,
"trial_params": null
}