Raidenv's picture
End of training
cb82d09 verified
raw
history blame contribute delete
No virus
36.3 kB
{
"best_metric": 0.7663551401869159,
"best_model_checkpoint": "swin-tiny-patch4-window7-224-finetuned-eurosat/checkpoint-435",
"epoch": 93.33333333333333,
"eval_steps": 500,
"global_step": 700,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.9333333333333333,
"eval_accuracy": 0.08411214953271028,
"eval_loss": 3.889423370361328,
"eval_runtime": 0.6153,
"eval_samples_per_second": 173.891,
"eval_steps_per_second": 6.501,
"step": 7
},
{
"epoch": 1.3333333333333333,
"grad_norm": 4.184154033660889,
"learning_rate": 7.142857142857143e-06,
"loss": 3.897,
"step": 10
},
{
"epoch": 2.0,
"eval_accuracy": 0.08411214953271028,
"eval_loss": 3.8185415267944336,
"eval_runtime": 0.6194,
"eval_samples_per_second": 172.745,
"eval_steps_per_second": 6.458,
"step": 15
},
{
"epoch": 2.6666666666666665,
"grad_norm": 4.875367164611816,
"learning_rate": 1.4285714285714285e-05,
"loss": 3.8553,
"step": 20
},
{
"epoch": 2.9333333333333336,
"eval_accuracy": 0.07476635514018691,
"eval_loss": 3.7401788234710693,
"eval_runtime": 0.6021,
"eval_samples_per_second": 177.698,
"eval_steps_per_second": 6.643,
"step": 22
},
{
"epoch": 4.0,
"grad_norm": 5.443772315979004,
"learning_rate": 2.1428571428571428e-05,
"loss": 3.7568,
"step": 30
},
{
"epoch": 4.0,
"eval_accuracy": 0.07476635514018691,
"eval_loss": 3.637192964553833,
"eval_runtime": 0.7262,
"eval_samples_per_second": 147.335,
"eval_steps_per_second": 5.508,
"step": 30
},
{
"epoch": 4.933333333333334,
"eval_accuracy": 0.08411214953271028,
"eval_loss": 3.5481796264648438,
"eval_runtime": 0.6382,
"eval_samples_per_second": 167.648,
"eval_steps_per_second": 6.267,
"step": 37
},
{
"epoch": 5.333333333333333,
"grad_norm": 5.656874656677246,
"learning_rate": 2.857142857142857e-05,
"loss": 3.5912,
"step": 40
},
{
"epoch": 6.0,
"eval_accuracy": 0.11214953271028037,
"eval_loss": 3.406933069229126,
"eval_runtime": 0.6307,
"eval_samples_per_second": 169.654,
"eval_steps_per_second": 6.342,
"step": 45
},
{
"epoch": 6.666666666666667,
"grad_norm": 6.326891899108887,
"learning_rate": 3.571428571428572e-05,
"loss": 3.4342,
"step": 50
},
{
"epoch": 6.933333333333334,
"eval_accuracy": 0.1308411214953271,
"eval_loss": 3.293895721435547,
"eval_runtime": 0.6244,
"eval_samples_per_second": 171.371,
"eval_steps_per_second": 6.406,
"step": 52
},
{
"epoch": 8.0,
"grad_norm": 12.78520393371582,
"learning_rate": 4.2857142857142856e-05,
"loss": 3.2601,
"step": 60
},
{
"epoch": 8.0,
"eval_accuracy": 0.21495327102803738,
"eval_loss": 3.178621768951416,
"eval_runtime": 0.7022,
"eval_samples_per_second": 152.374,
"eval_steps_per_second": 5.696,
"step": 60
},
{
"epoch": 8.933333333333334,
"eval_accuracy": 0.2336448598130841,
"eval_loss": 3.032252311706543,
"eval_runtime": 0.6285,
"eval_samples_per_second": 170.255,
"eval_steps_per_second": 6.365,
"step": 67
},
{
"epoch": 9.333333333333334,
"grad_norm": 9.798720359802246,
"learning_rate": 5e-05,
"loss": 3.0498,
"step": 70
},
{
"epoch": 10.0,
"eval_accuracy": 0.2616822429906542,
"eval_loss": 2.869462728500366,
"eval_runtime": 0.6405,
"eval_samples_per_second": 167.062,
"eval_steps_per_second": 6.245,
"step": 75
},
{
"epoch": 10.666666666666666,
"grad_norm": 9.29806137084961,
"learning_rate": 4.9206349206349204e-05,
"loss": 2.849,
"step": 80
},
{
"epoch": 10.933333333333334,
"eval_accuracy": 0.2523364485981308,
"eval_loss": 2.8504700660705566,
"eval_runtime": 0.6315,
"eval_samples_per_second": 169.425,
"eval_steps_per_second": 6.334,
"step": 82
},
{
"epoch": 12.0,
"grad_norm": 15.086236000061035,
"learning_rate": 4.841269841269841e-05,
"loss": 2.6452,
"step": 90
},
{
"epoch": 12.0,
"eval_accuracy": 0.2803738317757009,
"eval_loss": 2.63193416595459,
"eval_runtime": 0.7011,
"eval_samples_per_second": 152.622,
"eval_steps_per_second": 5.706,
"step": 90
},
{
"epoch": 12.933333333333334,
"eval_accuracy": 0.32710280373831774,
"eval_loss": 2.465355157852173,
"eval_runtime": 0.6287,
"eval_samples_per_second": 170.194,
"eval_steps_per_second": 6.362,
"step": 97
},
{
"epoch": 13.333333333333334,
"grad_norm": 10.405584335327148,
"learning_rate": 4.761904761904762e-05,
"loss": 2.4123,
"step": 100
},
{
"epoch": 14.0,
"eval_accuracy": 0.3364485981308411,
"eval_loss": 2.399456262588501,
"eval_runtime": 0.6357,
"eval_samples_per_second": 168.322,
"eval_steps_per_second": 6.292,
"step": 105
},
{
"epoch": 14.666666666666666,
"grad_norm": 12.884756088256836,
"learning_rate": 4.682539682539683e-05,
"loss": 2.2561,
"step": 110
},
{
"epoch": 14.933333333333334,
"eval_accuracy": 0.40186915887850466,
"eval_loss": 2.258385419845581,
"eval_runtime": 0.6927,
"eval_samples_per_second": 154.461,
"eval_steps_per_second": 5.774,
"step": 112
},
{
"epoch": 16.0,
"grad_norm": 11.66384506225586,
"learning_rate": 4.603174603174603e-05,
"loss": 2.0447,
"step": 120
},
{
"epoch": 16.0,
"eval_accuracy": 0.42990654205607476,
"eval_loss": 2.1999597549438477,
"eval_runtime": 0.6407,
"eval_samples_per_second": 167.013,
"eval_steps_per_second": 6.243,
"step": 120
},
{
"epoch": 16.933333333333334,
"eval_accuracy": 0.4392523364485981,
"eval_loss": 2.080615282058716,
"eval_runtime": 0.6391,
"eval_samples_per_second": 167.427,
"eval_steps_per_second": 6.259,
"step": 127
},
{
"epoch": 17.333333333333332,
"grad_norm": 9.476760864257812,
"learning_rate": 4.523809523809524e-05,
"loss": 1.8569,
"step": 130
},
{
"epoch": 18.0,
"eval_accuracy": 0.4392523364485981,
"eval_loss": 2.0593273639678955,
"eval_runtime": 0.6302,
"eval_samples_per_second": 169.788,
"eval_steps_per_second": 6.347,
"step": 135
},
{
"epoch": 18.666666666666668,
"grad_norm": 11.518675804138184,
"learning_rate": 4.4444444444444447e-05,
"loss": 1.7447,
"step": 140
},
{
"epoch": 18.933333333333334,
"eval_accuracy": 0.4672897196261682,
"eval_loss": 1.8832261562347412,
"eval_runtime": 0.7003,
"eval_samples_per_second": 152.783,
"eval_steps_per_second": 5.712,
"step": 142
},
{
"epoch": 20.0,
"grad_norm": 10.125329971313477,
"learning_rate": 4.3650793650793655e-05,
"loss": 1.5821,
"step": 150
},
{
"epoch": 20.0,
"eval_accuracy": 0.5046728971962616,
"eval_loss": 1.8217570781707764,
"eval_runtime": 0.6316,
"eval_samples_per_second": 169.416,
"eval_steps_per_second": 6.333,
"step": 150
},
{
"epoch": 20.933333333333334,
"eval_accuracy": 0.5420560747663551,
"eval_loss": 1.7333636283874512,
"eval_runtime": 0.6313,
"eval_samples_per_second": 169.494,
"eval_steps_per_second": 6.336,
"step": 157
},
{
"epoch": 21.333333333333332,
"grad_norm": 11.70013427734375,
"learning_rate": 4.2857142857142856e-05,
"loss": 1.3999,
"step": 160
},
{
"epoch": 22.0,
"eval_accuracy": 0.5514018691588785,
"eval_loss": 1.6213181018829346,
"eval_runtime": 0.6355,
"eval_samples_per_second": 168.373,
"eval_steps_per_second": 6.294,
"step": 165
},
{
"epoch": 22.666666666666668,
"grad_norm": 9.099847793579102,
"learning_rate": 4.2063492063492065e-05,
"loss": 1.2901,
"step": 170
},
{
"epoch": 22.933333333333334,
"eval_accuracy": 0.5233644859813084,
"eval_loss": 1.593188762664795,
"eval_runtime": 0.7026,
"eval_samples_per_second": 152.289,
"eval_steps_per_second": 5.693,
"step": 172
},
{
"epoch": 24.0,
"grad_norm": 10.077893257141113,
"learning_rate": 4.126984126984127e-05,
"loss": 1.1569,
"step": 180
},
{
"epoch": 24.0,
"eval_accuracy": 0.5700934579439252,
"eval_loss": 1.5255681276321411,
"eval_runtime": 0.6286,
"eval_samples_per_second": 170.213,
"eval_steps_per_second": 6.363,
"step": 180
},
{
"epoch": 24.933333333333334,
"eval_accuracy": 0.5887850467289719,
"eval_loss": 1.428060531616211,
"eval_runtime": 0.6322,
"eval_samples_per_second": 169.258,
"eval_steps_per_second": 6.327,
"step": 187
},
{
"epoch": 25.333333333333332,
"grad_norm": 10.525726318359375,
"learning_rate": 4.047619047619048e-05,
"loss": 1.0903,
"step": 190
},
{
"epoch": 26.0,
"eval_accuracy": 0.5794392523364486,
"eval_loss": 1.3997470140457153,
"eval_runtime": 0.6928,
"eval_samples_per_second": 154.457,
"eval_steps_per_second": 5.774,
"step": 195
},
{
"epoch": 26.666666666666668,
"grad_norm": 8.83031177520752,
"learning_rate": 3.968253968253968e-05,
"loss": 0.9674,
"step": 200
},
{
"epoch": 26.933333333333334,
"eval_accuracy": 0.5887850467289719,
"eval_loss": 1.4017095565795898,
"eval_runtime": 0.634,
"eval_samples_per_second": 168.758,
"eval_steps_per_second": 6.309,
"step": 202
},
{
"epoch": 28.0,
"grad_norm": 9.685677528381348,
"learning_rate": 3.888888888888889e-05,
"loss": 0.98,
"step": 210
},
{
"epoch": 28.0,
"eval_accuracy": 0.5981308411214953,
"eval_loss": 1.2915815114974976,
"eval_runtime": 0.6453,
"eval_samples_per_second": 165.816,
"eval_steps_per_second": 6.199,
"step": 210
},
{
"epoch": 28.933333333333334,
"eval_accuracy": 0.5981308411214953,
"eval_loss": 1.301841378211975,
"eval_runtime": 0.6256,
"eval_samples_per_second": 171.047,
"eval_steps_per_second": 6.394,
"step": 217
},
{
"epoch": 29.333333333333332,
"grad_norm": 11.74543285369873,
"learning_rate": 3.809523809523809e-05,
"loss": 0.8772,
"step": 220
},
{
"epoch": 30.0,
"eval_accuracy": 0.6355140186915887,
"eval_loss": 1.2552070617675781,
"eval_runtime": 0.6964,
"eval_samples_per_second": 153.648,
"eval_steps_per_second": 5.744,
"step": 225
},
{
"epoch": 30.666666666666668,
"grad_norm": 11.836760520935059,
"learning_rate": 3.730158730158731e-05,
"loss": 0.7842,
"step": 230
},
{
"epoch": 30.933333333333334,
"eval_accuracy": 0.6074766355140186,
"eval_loss": 1.2371814250946045,
"eval_runtime": 0.6411,
"eval_samples_per_second": 166.89,
"eval_steps_per_second": 6.239,
"step": 232
},
{
"epoch": 32.0,
"grad_norm": 8.279513359069824,
"learning_rate": 3.650793650793651e-05,
"loss": 0.7438,
"step": 240
},
{
"epoch": 32.0,
"eval_accuracy": 0.616822429906542,
"eval_loss": 1.1908384561538696,
"eval_runtime": 0.636,
"eval_samples_per_second": 168.249,
"eval_steps_per_second": 6.29,
"step": 240
},
{
"epoch": 32.93333333333333,
"eval_accuracy": 0.6635514018691588,
"eval_loss": 1.1566777229309082,
"eval_runtime": 0.6312,
"eval_samples_per_second": 169.507,
"eval_steps_per_second": 6.337,
"step": 247
},
{
"epoch": 33.333333333333336,
"grad_norm": 8.077630996704102,
"learning_rate": 3.571428571428572e-05,
"loss": 0.725,
"step": 250
},
{
"epoch": 34.0,
"eval_accuracy": 0.6261682242990654,
"eval_loss": 1.1541680097579956,
"eval_runtime": 0.6806,
"eval_samples_per_second": 157.204,
"eval_steps_per_second": 5.877,
"step": 255
},
{
"epoch": 34.666666666666664,
"grad_norm": 10.355536460876465,
"learning_rate": 3.492063492063492e-05,
"loss": 0.6709,
"step": 260
},
{
"epoch": 34.93333333333333,
"eval_accuracy": 0.6261682242990654,
"eval_loss": 1.137677550315857,
"eval_runtime": 0.6265,
"eval_samples_per_second": 170.787,
"eval_steps_per_second": 6.385,
"step": 262
},
{
"epoch": 36.0,
"grad_norm": 7.819301128387451,
"learning_rate": 3.412698412698413e-05,
"loss": 0.6898,
"step": 270
},
{
"epoch": 36.0,
"eval_accuracy": 0.6635514018691588,
"eval_loss": 1.0523799657821655,
"eval_runtime": 0.6376,
"eval_samples_per_second": 167.806,
"eval_steps_per_second": 6.273,
"step": 270
},
{
"epoch": 36.93333333333333,
"eval_accuracy": 0.6728971962616822,
"eval_loss": 1.027221441268921,
"eval_runtime": 0.6345,
"eval_samples_per_second": 168.642,
"eval_steps_per_second": 6.304,
"step": 277
},
{
"epoch": 37.333333333333336,
"grad_norm": 12.395262718200684,
"learning_rate": 3.3333333333333335e-05,
"loss": 0.6125,
"step": 280
},
{
"epoch": 38.0,
"eval_accuracy": 0.6355140186915887,
"eval_loss": 1.0398948192596436,
"eval_runtime": 0.6985,
"eval_samples_per_second": 153.19,
"eval_steps_per_second": 5.727,
"step": 285
},
{
"epoch": 38.666666666666664,
"grad_norm": 8.95246410369873,
"learning_rate": 3.253968253968254e-05,
"loss": 0.6153,
"step": 290
},
{
"epoch": 38.93333333333333,
"eval_accuracy": 0.6822429906542056,
"eval_loss": 1.0307663679122925,
"eval_runtime": 0.6229,
"eval_samples_per_second": 171.769,
"eval_steps_per_second": 6.421,
"step": 292
},
{
"epoch": 40.0,
"grad_norm": 10.705389022827148,
"learning_rate": 3.1746031746031745e-05,
"loss": 0.5898,
"step": 300
},
{
"epoch": 40.0,
"eval_accuracy": 0.7009345794392523,
"eval_loss": 1.0150656700134277,
"eval_runtime": 0.6404,
"eval_samples_per_second": 167.072,
"eval_steps_per_second": 6.246,
"step": 300
},
{
"epoch": 40.93333333333333,
"eval_accuracy": 0.6542056074766355,
"eval_loss": 1.0482978820800781,
"eval_runtime": 0.696,
"eval_samples_per_second": 153.738,
"eval_steps_per_second": 5.747,
"step": 307
},
{
"epoch": 41.333333333333336,
"grad_norm": 9.051219940185547,
"learning_rate": 3.095238095238095e-05,
"loss": 0.5881,
"step": 310
},
{
"epoch": 42.0,
"eval_accuracy": 0.7009345794392523,
"eval_loss": 0.992605984210968,
"eval_runtime": 0.6887,
"eval_samples_per_second": 155.368,
"eval_steps_per_second": 5.808,
"step": 315
},
{
"epoch": 42.666666666666664,
"grad_norm": 8.400652885437012,
"learning_rate": 3.0158730158730158e-05,
"loss": 0.54,
"step": 320
},
{
"epoch": 42.93333333333333,
"eval_accuracy": 0.6915887850467289,
"eval_loss": 1.0300043821334839,
"eval_runtime": 0.6255,
"eval_samples_per_second": 171.052,
"eval_steps_per_second": 6.394,
"step": 322
},
{
"epoch": 44.0,
"grad_norm": 10.61039924621582,
"learning_rate": 2.9365079365079366e-05,
"loss": 0.4515,
"step": 330
},
{
"epoch": 44.0,
"eval_accuracy": 0.7383177570093458,
"eval_loss": 0.926239013671875,
"eval_runtime": 0.689,
"eval_samples_per_second": 155.308,
"eval_steps_per_second": 5.806,
"step": 330
},
{
"epoch": 44.93333333333333,
"eval_accuracy": 0.7289719626168224,
"eval_loss": 0.9486252069473267,
"eval_runtime": 0.6286,
"eval_samples_per_second": 170.217,
"eval_steps_per_second": 6.363,
"step": 337
},
{
"epoch": 45.333333333333336,
"grad_norm": 11.857452392578125,
"learning_rate": 2.857142857142857e-05,
"loss": 0.5057,
"step": 340
},
{
"epoch": 46.0,
"eval_accuracy": 0.7102803738317757,
"eval_loss": 0.9219488501548767,
"eval_runtime": 0.6365,
"eval_samples_per_second": 168.094,
"eval_steps_per_second": 6.284,
"step": 345
},
{
"epoch": 46.666666666666664,
"grad_norm": 8.10464096069336,
"learning_rate": 2.777777777777778e-05,
"loss": 0.4905,
"step": 350
},
{
"epoch": 46.93333333333333,
"eval_accuracy": 0.6822429906542056,
"eval_loss": 1.0184197425842285,
"eval_runtime": 0.6292,
"eval_samples_per_second": 170.066,
"eval_steps_per_second": 6.358,
"step": 352
},
{
"epoch": 48.0,
"grad_norm": 9.08785629272461,
"learning_rate": 2.6984126984126984e-05,
"loss": 0.4669,
"step": 360
},
{
"epoch": 48.0,
"eval_accuracy": 0.7289719626168224,
"eval_loss": 0.9337471127510071,
"eval_runtime": 0.6967,
"eval_samples_per_second": 153.592,
"eval_steps_per_second": 5.742,
"step": 360
},
{
"epoch": 48.93333333333333,
"eval_accuracy": 0.7102803738317757,
"eval_loss": 0.9431414604187012,
"eval_runtime": 0.6378,
"eval_samples_per_second": 167.775,
"eval_steps_per_second": 6.272,
"step": 367
},
{
"epoch": 49.333333333333336,
"grad_norm": 8.805204391479492,
"learning_rate": 2.6190476190476192e-05,
"loss": 0.4437,
"step": 370
},
{
"epoch": 50.0,
"eval_accuracy": 0.7009345794392523,
"eval_loss": 0.9311835169792175,
"eval_runtime": 0.6277,
"eval_samples_per_second": 170.465,
"eval_steps_per_second": 6.373,
"step": 375
},
{
"epoch": 50.666666666666664,
"grad_norm": 7.111200332641602,
"learning_rate": 2.5396825396825397e-05,
"loss": 0.4754,
"step": 380
},
{
"epoch": 50.93333333333333,
"eval_accuracy": 0.719626168224299,
"eval_loss": 0.9244596362113953,
"eval_runtime": 0.6252,
"eval_samples_per_second": 171.138,
"eval_steps_per_second": 6.398,
"step": 382
},
{
"epoch": 52.0,
"grad_norm": 7.307917594909668,
"learning_rate": 2.4603174603174602e-05,
"loss": 0.4119,
"step": 390
},
{
"epoch": 52.0,
"eval_accuracy": 0.7383177570093458,
"eval_loss": 0.8826178908348083,
"eval_runtime": 0.6908,
"eval_samples_per_second": 154.896,
"eval_steps_per_second": 5.79,
"step": 390
},
{
"epoch": 52.93333333333333,
"eval_accuracy": 0.719626168224299,
"eval_loss": 0.9261904358863831,
"eval_runtime": 0.6228,
"eval_samples_per_second": 171.799,
"eval_steps_per_second": 6.422,
"step": 397
},
{
"epoch": 53.333333333333336,
"grad_norm": 8.19266128540039,
"learning_rate": 2.380952380952381e-05,
"loss": 0.4087,
"step": 400
},
{
"epoch": 54.0,
"eval_accuracy": 0.7476635514018691,
"eval_loss": 0.888160765171051,
"eval_runtime": 0.6231,
"eval_samples_per_second": 171.734,
"eval_steps_per_second": 6.42,
"step": 405
},
{
"epoch": 54.666666666666664,
"grad_norm": 7.831826210021973,
"learning_rate": 2.3015873015873015e-05,
"loss": 0.3987,
"step": 410
},
{
"epoch": 54.93333333333333,
"eval_accuracy": 0.7289719626168224,
"eval_loss": 0.9281949400901794,
"eval_runtime": 0.63,
"eval_samples_per_second": 169.85,
"eval_steps_per_second": 6.35,
"step": 412
},
{
"epoch": 56.0,
"grad_norm": 8.277617454528809,
"learning_rate": 2.2222222222222223e-05,
"loss": 0.4253,
"step": 420
},
{
"epoch": 56.0,
"eval_accuracy": 0.7476635514018691,
"eval_loss": 0.9003600478172302,
"eval_runtime": 0.738,
"eval_samples_per_second": 144.99,
"eval_steps_per_second": 5.42,
"step": 420
},
{
"epoch": 56.93333333333333,
"eval_accuracy": 0.7476635514018691,
"eval_loss": 0.8783094882965088,
"eval_runtime": 0.6305,
"eval_samples_per_second": 169.701,
"eval_steps_per_second": 6.344,
"step": 427
},
{
"epoch": 57.333333333333336,
"grad_norm": 7.786144256591797,
"learning_rate": 2.1428571428571428e-05,
"loss": 0.4134,
"step": 430
},
{
"epoch": 58.0,
"eval_accuracy": 0.7663551401869159,
"eval_loss": 0.835954487323761,
"eval_runtime": 0.6311,
"eval_samples_per_second": 169.557,
"eval_steps_per_second": 6.339,
"step": 435
},
{
"epoch": 58.666666666666664,
"grad_norm": 8.696057319641113,
"learning_rate": 2.0634920634920636e-05,
"loss": 0.4024,
"step": 440
},
{
"epoch": 58.93333333333333,
"eval_accuracy": 0.719626168224299,
"eval_loss": 0.901554524898529,
"eval_runtime": 0.6321,
"eval_samples_per_second": 169.266,
"eval_steps_per_second": 6.328,
"step": 442
},
{
"epoch": 60.0,
"grad_norm": 7.4623284339904785,
"learning_rate": 1.984126984126984e-05,
"loss": 0.3688,
"step": 450
},
{
"epoch": 60.0,
"eval_accuracy": 0.6822429906542056,
"eval_loss": 0.9250590205192566,
"eval_runtime": 0.7012,
"eval_samples_per_second": 152.597,
"eval_steps_per_second": 5.705,
"step": 450
},
{
"epoch": 60.93333333333333,
"eval_accuracy": 0.7102803738317757,
"eval_loss": 0.9085938930511475,
"eval_runtime": 0.6226,
"eval_samples_per_second": 171.866,
"eval_steps_per_second": 6.425,
"step": 457
},
{
"epoch": 61.333333333333336,
"grad_norm": 8.650228500366211,
"learning_rate": 1.9047619047619046e-05,
"loss": 0.3833,
"step": 460
},
{
"epoch": 62.0,
"eval_accuracy": 0.7383177570093458,
"eval_loss": 0.8493680953979492,
"eval_runtime": 0.6222,
"eval_samples_per_second": 171.977,
"eval_steps_per_second": 6.429,
"step": 465
},
{
"epoch": 62.666666666666664,
"grad_norm": 9.089720726013184,
"learning_rate": 1.8253968253968254e-05,
"loss": 0.3614,
"step": 470
},
{
"epoch": 62.93333333333333,
"eval_accuracy": 0.7289719626168224,
"eval_loss": 0.8298574686050415,
"eval_runtime": 0.6823,
"eval_samples_per_second": 156.816,
"eval_steps_per_second": 5.862,
"step": 472
},
{
"epoch": 64.0,
"grad_norm": 9.999822616577148,
"learning_rate": 1.746031746031746e-05,
"loss": 0.3792,
"step": 480
},
{
"epoch": 64.0,
"eval_accuracy": 0.7383177570093458,
"eval_loss": 0.9015009999275208,
"eval_runtime": 0.647,
"eval_samples_per_second": 165.386,
"eval_steps_per_second": 6.183,
"step": 480
},
{
"epoch": 64.93333333333334,
"eval_accuracy": 0.719626168224299,
"eval_loss": 0.8801712989807129,
"eval_runtime": 0.6283,
"eval_samples_per_second": 170.303,
"eval_steps_per_second": 6.366,
"step": 487
},
{
"epoch": 65.33333333333333,
"grad_norm": 7.207292556762695,
"learning_rate": 1.6666666666666667e-05,
"loss": 0.3632,
"step": 490
},
{
"epoch": 66.0,
"eval_accuracy": 0.7009345794392523,
"eval_loss": 0.8881424069404602,
"eval_runtime": 0.6298,
"eval_samples_per_second": 169.883,
"eval_steps_per_second": 6.351,
"step": 495
},
{
"epoch": 66.66666666666667,
"grad_norm": 9.152532577514648,
"learning_rate": 1.5873015873015872e-05,
"loss": 0.3405,
"step": 500
},
{
"epoch": 66.93333333333334,
"eval_accuracy": 0.7383177570093458,
"eval_loss": 0.857825517654419,
"eval_runtime": 0.7094,
"eval_samples_per_second": 150.84,
"eval_steps_per_second": 5.639,
"step": 502
},
{
"epoch": 68.0,
"grad_norm": 6.808733940124512,
"learning_rate": 1.5079365079365079e-05,
"loss": 0.3673,
"step": 510
},
{
"epoch": 68.0,
"eval_accuracy": 0.7570093457943925,
"eval_loss": 0.8540030717849731,
"eval_runtime": 0.6324,
"eval_samples_per_second": 169.206,
"eval_steps_per_second": 6.325,
"step": 510
},
{
"epoch": 68.93333333333334,
"eval_accuracy": 0.7383177570093458,
"eval_loss": 0.834481954574585,
"eval_runtime": 0.6329,
"eval_samples_per_second": 169.057,
"eval_steps_per_second": 6.32,
"step": 517
},
{
"epoch": 69.33333333333333,
"grad_norm": 7.036710262298584,
"learning_rate": 1.4285714285714285e-05,
"loss": 0.3379,
"step": 520
},
{
"epoch": 70.0,
"eval_accuracy": 0.7383177570093458,
"eval_loss": 0.7918941974639893,
"eval_runtime": 0.6863,
"eval_samples_per_second": 155.912,
"eval_steps_per_second": 5.828,
"step": 525
},
{
"epoch": 70.66666666666667,
"grad_norm": 8.039285659790039,
"learning_rate": 1.3492063492063492e-05,
"loss": 0.3389,
"step": 530
},
{
"epoch": 70.93333333333334,
"eval_accuracy": 0.7289719626168224,
"eval_loss": 0.8383651375770569,
"eval_runtime": 0.6238,
"eval_samples_per_second": 171.538,
"eval_steps_per_second": 6.413,
"step": 532
},
{
"epoch": 72.0,
"grad_norm": 8.855910301208496,
"learning_rate": 1.2698412698412699e-05,
"loss": 0.3363,
"step": 540
},
{
"epoch": 72.0,
"eval_accuracy": 0.7383177570093458,
"eval_loss": 0.8305981159210205,
"eval_runtime": 0.6209,
"eval_samples_per_second": 172.332,
"eval_steps_per_second": 6.442,
"step": 540
},
{
"epoch": 72.93333333333334,
"eval_accuracy": 0.7476635514018691,
"eval_loss": 0.8875143527984619,
"eval_runtime": 0.6229,
"eval_samples_per_second": 171.771,
"eval_steps_per_second": 6.421,
"step": 547
},
{
"epoch": 73.33333333333333,
"grad_norm": 8.251914978027344,
"learning_rate": 1.1904761904761905e-05,
"loss": 0.3494,
"step": 550
},
{
"epoch": 74.0,
"eval_accuracy": 0.7009345794392523,
"eval_loss": 0.9151278138160706,
"eval_runtime": 0.6911,
"eval_samples_per_second": 154.833,
"eval_steps_per_second": 5.788,
"step": 555
},
{
"epoch": 74.66666666666667,
"grad_norm": 6.429625988006592,
"learning_rate": 1.1111111111111112e-05,
"loss": 0.2989,
"step": 560
},
{
"epoch": 74.93333333333334,
"eval_accuracy": 0.7102803738317757,
"eval_loss": 0.8605906963348389,
"eval_runtime": 0.6304,
"eval_samples_per_second": 169.733,
"eval_steps_per_second": 6.345,
"step": 562
},
{
"epoch": 76.0,
"grad_norm": 26.255657196044922,
"learning_rate": 1.0317460317460318e-05,
"loss": 0.3157,
"step": 570
},
{
"epoch": 76.0,
"eval_accuracy": 0.7383177570093458,
"eval_loss": 0.8639878630638123,
"eval_runtime": 0.6362,
"eval_samples_per_second": 168.197,
"eval_steps_per_second": 6.288,
"step": 570
},
{
"epoch": 76.93333333333334,
"eval_accuracy": 0.7289719626168224,
"eval_loss": 0.8531526327133179,
"eval_runtime": 0.6397,
"eval_samples_per_second": 167.268,
"eval_steps_per_second": 6.253,
"step": 577
},
{
"epoch": 77.33333333333333,
"grad_norm": 7.6963958740234375,
"learning_rate": 9.523809523809523e-06,
"loss": 0.3013,
"step": 580
},
{
"epoch": 78.0,
"eval_accuracy": 0.7102803738317757,
"eval_loss": 0.8478634357452393,
"eval_runtime": 0.6402,
"eval_samples_per_second": 167.14,
"eval_steps_per_second": 6.248,
"step": 585
},
{
"epoch": 78.66666666666667,
"grad_norm": 6.458745956420898,
"learning_rate": 8.73015873015873e-06,
"loss": 0.2968,
"step": 590
},
{
"epoch": 78.93333333333334,
"eval_accuracy": 0.7383177570093458,
"eval_loss": 0.8838663101196289,
"eval_runtime": 0.6283,
"eval_samples_per_second": 170.3,
"eval_steps_per_second": 6.366,
"step": 592
},
{
"epoch": 80.0,
"grad_norm": 7.113694667816162,
"learning_rate": 7.936507936507936e-06,
"loss": 0.3013,
"step": 600
},
{
"epoch": 80.0,
"eval_accuracy": 0.719626168224299,
"eval_loss": 0.8837152719497681,
"eval_runtime": 0.6296,
"eval_samples_per_second": 169.941,
"eval_steps_per_second": 6.353,
"step": 600
},
{
"epoch": 80.93333333333334,
"eval_accuracy": 0.7102803738317757,
"eval_loss": 0.8694174289703369,
"eval_runtime": 0.6384,
"eval_samples_per_second": 167.61,
"eval_steps_per_second": 6.266,
"step": 607
},
{
"epoch": 81.33333333333333,
"grad_norm": 7.3130645751953125,
"learning_rate": 7.142857142857143e-06,
"loss": 0.3247,
"step": 610
},
{
"epoch": 82.0,
"eval_accuracy": 0.7289719626168224,
"eval_loss": 0.8721389174461365,
"eval_runtime": 0.6303,
"eval_samples_per_second": 169.753,
"eval_steps_per_second": 6.346,
"step": 615
},
{
"epoch": 82.66666666666667,
"grad_norm": 7.383735179901123,
"learning_rate": 6.349206349206349e-06,
"loss": 0.2515,
"step": 620
},
{
"epoch": 82.93333333333334,
"eval_accuracy": 0.7289719626168224,
"eval_loss": 0.8605012893676758,
"eval_runtime": 0.6316,
"eval_samples_per_second": 169.406,
"eval_steps_per_second": 6.333,
"step": 622
},
{
"epoch": 84.0,
"grad_norm": 10.514152526855469,
"learning_rate": 5.555555555555556e-06,
"loss": 0.3175,
"step": 630
},
{
"epoch": 84.0,
"eval_accuracy": 0.7289719626168224,
"eval_loss": 0.8504555225372314,
"eval_runtime": 0.6431,
"eval_samples_per_second": 166.371,
"eval_steps_per_second": 6.219,
"step": 630
},
{
"epoch": 84.93333333333334,
"eval_accuracy": 0.7289719626168224,
"eval_loss": 0.8487720489501953,
"eval_runtime": 0.7009,
"eval_samples_per_second": 152.657,
"eval_steps_per_second": 5.707,
"step": 637
},
{
"epoch": 85.33333333333333,
"grad_norm": 7.461284637451172,
"learning_rate": 4.7619047619047615e-06,
"loss": 0.3015,
"step": 640
},
{
"epoch": 86.0,
"eval_accuracy": 0.7383177570093458,
"eval_loss": 0.8554015755653381,
"eval_runtime": 0.63,
"eval_samples_per_second": 169.848,
"eval_steps_per_second": 6.349,
"step": 645
},
{
"epoch": 86.66666666666667,
"grad_norm": 7.623924732208252,
"learning_rate": 3.968253968253968e-06,
"loss": 0.2989,
"step": 650
},
{
"epoch": 86.93333333333334,
"eval_accuracy": 0.7289719626168224,
"eval_loss": 0.8706844449043274,
"eval_runtime": 0.619,
"eval_samples_per_second": 172.858,
"eval_steps_per_second": 6.462,
"step": 652
},
{
"epoch": 88.0,
"grad_norm": 8.086990356445312,
"learning_rate": 3.1746031746031746e-06,
"loss": 0.3155,
"step": 660
},
{
"epoch": 88.0,
"eval_accuracy": 0.7289719626168224,
"eval_loss": 0.8711610436439514,
"eval_runtime": 0.6221,
"eval_samples_per_second": 171.99,
"eval_steps_per_second": 6.43,
"step": 660
},
{
"epoch": 88.93333333333334,
"eval_accuracy": 0.7289719626168224,
"eval_loss": 0.8659169673919678,
"eval_runtime": 0.6827,
"eval_samples_per_second": 156.733,
"eval_steps_per_second": 5.859,
"step": 667
},
{
"epoch": 89.33333333333333,
"grad_norm": 7.784951210021973,
"learning_rate": 2.3809523809523808e-06,
"loss": 0.2871,
"step": 670
},
{
"epoch": 90.0,
"eval_accuracy": 0.7289719626168224,
"eval_loss": 0.8573119044303894,
"eval_runtime": 0.6276,
"eval_samples_per_second": 170.489,
"eval_steps_per_second": 6.373,
"step": 675
},
{
"epoch": 90.66666666666667,
"grad_norm": 5.8744587898254395,
"learning_rate": 1.5873015873015873e-06,
"loss": 0.2872,
"step": 680
},
{
"epoch": 90.93333333333334,
"eval_accuracy": 0.7289719626168224,
"eval_loss": 0.8529960513114929,
"eval_runtime": 0.6227,
"eval_samples_per_second": 171.823,
"eval_steps_per_second": 6.423,
"step": 682
},
{
"epoch": 92.0,
"grad_norm": 7.09710168838501,
"learning_rate": 7.936507936507937e-07,
"loss": 0.2587,
"step": 690
},
{
"epoch": 92.0,
"eval_accuracy": 0.7383177570093458,
"eval_loss": 0.8516349196434021,
"eval_runtime": 0.6363,
"eval_samples_per_second": 168.151,
"eval_steps_per_second": 6.286,
"step": 690
},
{
"epoch": 92.93333333333334,
"eval_accuracy": 0.7383177570093458,
"eval_loss": 0.8501598238945007,
"eval_runtime": 0.6733,
"eval_samples_per_second": 158.923,
"eval_steps_per_second": 5.941,
"step": 697
},
{
"epoch": 93.33333333333333,
"grad_norm": 9.111827850341797,
"learning_rate": 0.0,
"loss": 0.3133,
"step": 700
},
{
"epoch": 93.33333333333333,
"eval_accuracy": 0.7383177570093458,
"eval_loss": 0.8501192331314087,
"eval_runtime": 0.6288,
"eval_samples_per_second": 170.154,
"eval_steps_per_second": 6.361,
"step": 700
},
{
"epoch": 93.33333333333333,
"step": 700,
"total_flos": 2.226634183539118e+18,
"train_loss": 1.0035276814869472,
"train_runtime": 1522.5733,
"train_samples_per_second": 62.92,
"train_steps_per_second": 0.46
}
],
"logging_steps": 10,
"max_steps": 700,
"num_input_tokens_seen": 0,
"num_train_epochs": 100,
"save_steps": 500,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": true
},
"attributes": {}
}
},
"total_flos": 2.226634183539118e+18,
"train_batch_size": 32,
"trial_name": null,
"trial_params": null
}