swiftformer-xs-ve-U13-b-80 / trainer_state.json
Augusto777's picture
End of training
28c0c0d verified
raw
history blame contribute delete
No virus
25.5 kB
{
"best_metric": 0.8260869565217391,
"best_model_checkpoint": "swiftformer-xs-ve-U13-b-80\\checkpoint-136",
"epoch": 73.84615384615384,
"eval_steps": 500,
"global_step": 480,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.92,
"eval_accuracy": 0.2391304347826087,
"eval_loss": 1.3858562707901,
"eval_runtime": 0.6151,
"eval_samples_per_second": 74.782,
"eval_steps_per_second": 3.251,
"step": 6
},
{
"epoch": 1.54,
"learning_rate": 4.166666666666667e-05,
"loss": 1.3857,
"step": 10
},
{
"epoch": 2.0,
"eval_accuracy": 0.2826086956521739,
"eval_loss": 1.383385419845581,
"eval_runtime": 0.5892,
"eval_samples_per_second": 78.066,
"eval_steps_per_second": 3.394,
"step": 13
},
{
"epoch": 2.92,
"eval_accuracy": 0.1956521739130435,
"eval_loss": 1.3788952827453613,
"eval_runtime": 0.6135,
"eval_samples_per_second": 74.979,
"eval_steps_per_second": 3.26,
"step": 19
},
{
"epoch": 3.08,
"learning_rate": 8.333333333333334e-05,
"loss": 1.3767,
"step": 20
},
{
"epoch": 4.0,
"eval_accuracy": 0.15217391304347827,
"eval_loss": 1.3666234016418457,
"eval_runtime": 0.5852,
"eval_samples_per_second": 78.61,
"eval_steps_per_second": 3.418,
"step": 26
},
{
"epoch": 4.62,
"learning_rate": 0.000125,
"loss": 1.3226,
"step": 30
},
{
"epoch": 4.92,
"eval_accuracy": 0.15217391304347827,
"eval_loss": 1.356500506401062,
"eval_runtime": 0.5925,
"eval_samples_per_second": 77.636,
"eval_steps_per_second": 3.375,
"step": 32
},
{
"epoch": 6.0,
"eval_accuracy": 0.10869565217391304,
"eval_loss": 1.3901711702346802,
"eval_runtime": 0.5997,
"eval_samples_per_second": 76.711,
"eval_steps_per_second": 3.335,
"step": 39
},
{
"epoch": 6.15,
"learning_rate": 0.0001666666666666667,
"loss": 1.1987,
"step": 40
},
{
"epoch": 6.92,
"eval_accuracy": 0.21739130434782608,
"eval_loss": 1.3712323904037476,
"eval_runtime": 0.5757,
"eval_samples_per_second": 79.903,
"eval_steps_per_second": 3.474,
"step": 45
},
{
"epoch": 7.69,
"learning_rate": 0.0001990740740740741,
"loss": 1.1075,
"step": 50
},
{
"epoch": 8.0,
"eval_accuracy": 0.34782608695652173,
"eval_loss": 1.3196704387664795,
"eval_runtime": 0.5987,
"eval_samples_per_second": 76.833,
"eval_steps_per_second": 3.341,
"step": 52
},
{
"epoch": 8.92,
"eval_accuracy": 0.3695652173913043,
"eval_loss": 1.3648946285247803,
"eval_runtime": 0.5855,
"eval_samples_per_second": 78.566,
"eval_steps_per_second": 3.416,
"step": 58
},
{
"epoch": 9.23,
"learning_rate": 0.00019444444444444446,
"loss": 0.9988,
"step": 60
},
{
"epoch": 10.0,
"eval_accuracy": 0.3695652173913043,
"eval_loss": 1.2583398818969727,
"eval_runtime": 0.6118,
"eval_samples_per_second": 75.188,
"eval_steps_per_second": 3.269,
"step": 65
},
{
"epoch": 10.77,
"learning_rate": 0.00018981481481481483,
"loss": 0.8863,
"step": 70
},
{
"epoch": 10.92,
"eval_accuracy": 0.3695652173913043,
"eval_loss": 1.2484155893325806,
"eval_runtime": 0.5738,
"eval_samples_per_second": 80.169,
"eval_steps_per_second": 3.486,
"step": 71
},
{
"epoch": 12.0,
"eval_accuracy": 0.41304347826086957,
"eval_loss": 1.286899447441101,
"eval_runtime": 0.6289,
"eval_samples_per_second": 73.144,
"eval_steps_per_second": 3.18,
"step": 78
},
{
"epoch": 12.31,
"learning_rate": 0.0001851851851851852,
"loss": 0.8228,
"step": 80
},
{
"epoch": 12.92,
"eval_accuracy": 0.4782608695652174,
"eval_loss": 1.1677778959274292,
"eval_runtime": 0.5616,
"eval_samples_per_second": 81.902,
"eval_steps_per_second": 3.561,
"step": 84
},
{
"epoch": 13.85,
"learning_rate": 0.00018055555555555557,
"loss": 0.7456,
"step": 90
},
{
"epoch": 14.0,
"eval_accuracy": 0.6739130434782609,
"eval_loss": 1.0274546146392822,
"eval_runtime": 0.5647,
"eval_samples_per_second": 81.465,
"eval_steps_per_second": 3.542,
"step": 91
},
{
"epoch": 14.92,
"eval_accuracy": 0.717391304347826,
"eval_loss": 0.9701868891716003,
"eval_runtime": 0.5987,
"eval_samples_per_second": 76.834,
"eval_steps_per_second": 3.341,
"step": 97
},
{
"epoch": 15.38,
"learning_rate": 0.00017592592592592595,
"loss": 0.6595,
"step": 100
},
{
"epoch": 16.0,
"eval_accuracy": 0.6956521739130435,
"eval_loss": 0.9103245139122009,
"eval_runtime": 0.5651,
"eval_samples_per_second": 81.4,
"eval_steps_per_second": 3.539,
"step": 104
},
{
"epoch": 16.92,
"learning_rate": 0.00017129629629629632,
"loss": 0.5995,
"step": 110
},
{
"epoch": 16.92,
"eval_accuracy": 0.7391304347826086,
"eval_loss": 0.8506172895431519,
"eval_runtime": 0.6113,
"eval_samples_per_second": 75.248,
"eval_steps_per_second": 3.272,
"step": 110
},
{
"epoch": 18.0,
"eval_accuracy": 0.717391304347826,
"eval_loss": 0.8514139652252197,
"eval_runtime": 0.5699,
"eval_samples_per_second": 80.723,
"eval_steps_per_second": 3.51,
"step": 117
},
{
"epoch": 18.46,
"learning_rate": 0.0001666666666666667,
"loss": 0.5826,
"step": 120
},
{
"epoch": 18.92,
"eval_accuracy": 0.7391304347826086,
"eval_loss": 0.8963512182235718,
"eval_runtime": 0.5992,
"eval_samples_per_second": 76.774,
"eval_steps_per_second": 3.338,
"step": 123
},
{
"epoch": 20.0,
"learning_rate": 0.00016203703703703706,
"loss": 0.4818,
"step": 130
},
{
"epoch": 20.0,
"eval_accuracy": 0.7608695652173914,
"eval_loss": 0.8549758195877075,
"eval_runtime": 0.5779,
"eval_samples_per_second": 79.599,
"eval_steps_per_second": 3.461,
"step": 130
},
{
"epoch": 20.92,
"eval_accuracy": 0.8260869565217391,
"eval_loss": 0.7131932973861694,
"eval_runtime": 0.5892,
"eval_samples_per_second": 78.073,
"eval_steps_per_second": 3.394,
"step": 136
},
{
"epoch": 21.54,
"learning_rate": 0.00015740740740740743,
"loss": 0.4553,
"step": 140
},
{
"epoch": 22.0,
"eval_accuracy": 0.782608695652174,
"eval_loss": 0.6972543597221375,
"eval_runtime": 0.6311,
"eval_samples_per_second": 72.888,
"eval_steps_per_second": 3.169,
"step": 143
},
{
"epoch": 22.92,
"eval_accuracy": 0.7391304347826086,
"eval_loss": 0.749606728553772,
"eval_runtime": 0.6069,
"eval_samples_per_second": 75.792,
"eval_steps_per_second": 3.295,
"step": 149
},
{
"epoch": 23.08,
"learning_rate": 0.00015277777777777777,
"loss": 0.4276,
"step": 150
},
{
"epoch": 24.0,
"eval_accuracy": 0.6956521739130435,
"eval_loss": 0.9087320566177368,
"eval_runtime": 0.6537,
"eval_samples_per_second": 70.367,
"eval_steps_per_second": 3.059,
"step": 156
},
{
"epoch": 24.62,
"learning_rate": 0.00014814814814814815,
"loss": 0.3375,
"step": 160
},
{
"epoch": 24.92,
"eval_accuracy": 0.8260869565217391,
"eval_loss": 0.7786810398101807,
"eval_runtime": 0.588,
"eval_samples_per_second": 78.229,
"eval_steps_per_second": 3.401,
"step": 162
},
{
"epoch": 26.0,
"eval_accuracy": 0.8043478260869565,
"eval_loss": 0.7131972312927246,
"eval_runtime": 0.5899,
"eval_samples_per_second": 77.976,
"eval_steps_per_second": 3.39,
"step": 169
},
{
"epoch": 26.15,
"learning_rate": 0.00014351851851851852,
"loss": 0.3199,
"step": 170
},
{
"epoch": 26.92,
"eval_accuracy": 0.7391304347826086,
"eval_loss": 0.7569522261619568,
"eval_runtime": 0.5879,
"eval_samples_per_second": 78.242,
"eval_steps_per_second": 3.402,
"step": 175
},
{
"epoch": 27.69,
"learning_rate": 0.0001388888888888889,
"loss": 0.2756,
"step": 180
},
{
"epoch": 28.0,
"eval_accuracy": 0.6956521739130435,
"eval_loss": 0.787326455116272,
"eval_runtime": 0.5846,
"eval_samples_per_second": 78.69,
"eval_steps_per_second": 3.421,
"step": 182
},
{
"epoch": 28.92,
"eval_accuracy": 0.7608695652173914,
"eval_loss": 0.7894624471664429,
"eval_runtime": 0.6067,
"eval_samples_per_second": 75.814,
"eval_steps_per_second": 3.296,
"step": 188
},
{
"epoch": 29.23,
"learning_rate": 0.00013425925925925926,
"loss": 0.2254,
"step": 190
},
{
"epoch": 30.0,
"eval_accuracy": 0.8043478260869565,
"eval_loss": 0.7443256378173828,
"eval_runtime": 0.6221,
"eval_samples_per_second": 73.946,
"eval_steps_per_second": 3.215,
"step": 195
},
{
"epoch": 30.77,
"learning_rate": 0.00012962962962962963,
"loss": 0.2576,
"step": 200
},
{
"epoch": 30.92,
"eval_accuracy": 0.6739130434782609,
"eval_loss": 0.9623061418533325,
"eval_runtime": 0.6026,
"eval_samples_per_second": 76.332,
"eval_steps_per_second": 3.319,
"step": 201
},
{
"epoch": 32.0,
"eval_accuracy": 0.782608695652174,
"eval_loss": 0.7348794341087341,
"eval_runtime": 0.5766,
"eval_samples_per_second": 79.779,
"eval_steps_per_second": 3.469,
"step": 208
},
{
"epoch": 32.31,
"learning_rate": 0.000125,
"loss": 0.2113,
"step": 210
},
{
"epoch": 32.92,
"eval_accuracy": 0.7608695652173914,
"eval_loss": 0.7886755466461182,
"eval_runtime": 0.6103,
"eval_samples_per_second": 75.378,
"eval_steps_per_second": 3.277,
"step": 214
},
{
"epoch": 33.85,
"learning_rate": 0.00012037037037037037,
"loss": 0.1978,
"step": 220
},
{
"epoch": 34.0,
"eval_accuracy": 0.7391304347826086,
"eval_loss": 0.8920990228652954,
"eval_runtime": 0.573,
"eval_samples_per_second": 80.278,
"eval_steps_per_second": 3.49,
"step": 221
},
{
"epoch": 34.92,
"eval_accuracy": 0.7391304347826086,
"eval_loss": 0.8102229833602905,
"eval_runtime": 0.6072,
"eval_samples_per_second": 75.756,
"eval_steps_per_second": 3.294,
"step": 227
},
{
"epoch": 35.38,
"learning_rate": 0.00011574074074074075,
"loss": 0.2455,
"step": 230
},
{
"epoch": 36.0,
"eval_accuracy": 0.7391304347826086,
"eval_loss": 0.894730269908905,
"eval_runtime": 0.6442,
"eval_samples_per_second": 71.406,
"eval_steps_per_second": 3.105,
"step": 234
},
{
"epoch": 36.92,
"learning_rate": 0.00011111111111111112,
"loss": 0.1809,
"step": 240
},
{
"epoch": 36.92,
"eval_accuracy": 0.782608695652174,
"eval_loss": 0.8143943548202515,
"eval_runtime": 0.5823,
"eval_samples_per_second": 78.995,
"eval_steps_per_second": 3.435,
"step": 240
},
{
"epoch": 38.0,
"eval_accuracy": 0.717391304347826,
"eval_loss": 0.829043984413147,
"eval_runtime": 0.573,
"eval_samples_per_second": 80.275,
"eval_steps_per_second": 3.49,
"step": 247
},
{
"epoch": 38.46,
"learning_rate": 0.00010648148148148149,
"loss": 0.1967,
"step": 250
},
{
"epoch": 38.92,
"eval_accuracy": 0.7391304347826086,
"eval_loss": 0.8135195374488831,
"eval_runtime": 0.5896,
"eval_samples_per_second": 78.014,
"eval_steps_per_second": 3.392,
"step": 253
},
{
"epoch": 40.0,
"learning_rate": 0.00010185185185185186,
"loss": 0.1608,
"step": 260
},
{
"epoch": 40.0,
"eval_accuracy": 0.7608695652173914,
"eval_loss": 0.8064969182014465,
"eval_runtime": 0.6144,
"eval_samples_per_second": 74.87,
"eval_steps_per_second": 3.255,
"step": 260
},
{
"epoch": 40.92,
"eval_accuracy": 0.7608695652173914,
"eval_loss": 0.739860475063324,
"eval_runtime": 0.5769,
"eval_samples_per_second": 79.736,
"eval_steps_per_second": 3.467,
"step": 266
},
{
"epoch": 41.54,
"learning_rate": 9.722222222222223e-05,
"loss": 0.1704,
"step": 270
},
{
"epoch": 42.0,
"eval_accuracy": 0.8043478260869565,
"eval_loss": 0.7099208235740662,
"eval_runtime": 0.5722,
"eval_samples_per_second": 80.394,
"eval_steps_per_second": 3.495,
"step": 273
},
{
"epoch": 42.92,
"eval_accuracy": 0.782608695652174,
"eval_loss": 0.7569423913955688,
"eval_runtime": 0.5853,
"eval_samples_per_second": 78.596,
"eval_steps_per_second": 3.417,
"step": 279
},
{
"epoch": 43.08,
"learning_rate": 9.25925925925926e-05,
"loss": 0.1682,
"step": 280
},
{
"epoch": 44.0,
"eval_accuracy": 0.782608695652174,
"eval_loss": 0.8458698987960815,
"eval_runtime": 0.6104,
"eval_samples_per_second": 75.362,
"eval_steps_per_second": 3.277,
"step": 286
},
{
"epoch": 44.62,
"learning_rate": 8.796296296296297e-05,
"loss": 0.1607,
"step": 290
},
{
"epoch": 44.92,
"eval_accuracy": 0.7608695652173914,
"eval_loss": 0.7311373353004456,
"eval_runtime": 0.5835,
"eval_samples_per_second": 78.829,
"eval_steps_per_second": 3.427,
"step": 292
},
{
"epoch": 46.0,
"eval_accuracy": 0.717391304347826,
"eval_loss": 0.783256471157074,
"eval_runtime": 0.619,
"eval_samples_per_second": 74.311,
"eval_steps_per_second": 3.231,
"step": 299
},
{
"epoch": 46.15,
"learning_rate": 8.333333333333334e-05,
"loss": 0.1589,
"step": 300
},
{
"epoch": 46.92,
"eval_accuracy": 0.6956521739130435,
"eval_loss": 0.8072806596755981,
"eval_runtime": 0.6425,
"eval_samples_per_second": 71.594,
"eval_steps_per_second": 3.113,
"step": 305
},
{
"epoch": 47.69,
"learning_rate": 7.870370370370372e-05,
"loss": 0.1524,
"step": 310
},
{
"epoch": 48.0,
"eval_accuracy": 0.7608695652173914,
"eval_loss": 0.7472575902938843,
"eval_runtime": 0.6,
"eval_samples_per_second": 76.668,
"eval_steps_per_second": 3.333,
"step": 312
},
{
"epoch": 48.92,
"eval_accuracy": 0.8043478260869565,
"eval_loss": 0.6779573559761047,
"eval_runtime": 0.5961,
"eval_samples_per_second": 77.169,
"eval_steps_per_second": 3.355,
"step": 318
},
{
"epoch": 49.23,
"learning_rate": 7.407407407407407e-05,
"loss": 0.1586,
"step": 320
},
{
"epoch": 50.0,
"eval_accuracy": 0.717391304347826,
"eval_loss": 0.7573379874229431,
"eval_runtime": 0.6092,
"eval_samples_per_second": 75.504,
"eval_steps_per_second": 3.283,
"step": 325
},
{
"epoch": 50.77,
"learning_rate": 6.944444444444444e-05,
"loss": 0.128,
"step": 330
},
{
"epoch": 50.92,
"eval_accuracy": 0.7391304347826086,
"eval_loss": 0.7614392638206482,
"eval_runtime": 0.5939,
"eval_samples_per_second": 77.451,
"eval_steps_per_second": 3.367,
"step": 331
},
{
"epoch": 52.0,
"eval_accuracy": 0.7608695652173914,
"eval_loss": 0.7338166236877441,
"eval_runtime": 0.6299,
"eval_samples_per_second": 73.033,
"eval_steps_per_second": 3.175,
"step": 338
},
{
"epoch": 52.31,
"learning_rate": 6.481481481481482e-05,
"loss": 0.1254,
"step": 340
},
{
"epoch": 52.92,
"eval_accuracy": 0.7391304347826086,
"eval_loss": 0.7666023373603821,
"eval_runtime": 0.6065,
"eval_samples_per_second": 75.848,
"eval_steps_per_second": 3.298,
"step": 344
},
{
"epoch": 53.85,
"learning_rate": 6.018518518518519e-05,
"loss": 0.1206,
"step": 350
},
{
"epoch": 54.0,
"eval_accuracy": 0.717391304347826,
"eval_loss": 0.8433414101600647,
"eval_runtime": 0.6112,
"eval_samples_per_second": 75.257,
"eval_steps_per_second": 3.272,
"step": 351
},
{
"epoch": 54.92,
"eval_accuracy": 0.6956521739130435,
"eval_loss": 0.8747164011001587,
"eval_runtime": 0.6225,
"eval_samples_per_second": 73.894,
"eval_steps_per_second": 3.213,
"step": 357
},
{
"epoch": 55.38,
"learning_rate": 5.555555555555556e-05,
"loss": 0.1398,
"step": 360
},
{
"epoch": 56.0,
"eval_accuracy": 0.717391304347826,
"eval_loss": 0.8940105438232422,
"eval_runtime": 0.5972,
"eval_samples_per_second": 77.026,
"eval_steps_per_second": 3.349,
"step": 364
},
{
"epoch": 56.92,
"learning_rate": 5.092592592592593e-05,
"loss": 0.1536,
"step": 370
},
{
"epoch": 56.92,
"eval_accuracy": 0.782608695652174,
"eval_loss": 0.7780929803848267,
"eval_runtime": 0.5998,
"eval_samples_per_second": 76.693,
"eval_steps_per_second": 3.334,
"step": 370
},
{
"epoch": 58.0,
"eval_accuracy": 0.7391304347826086,
"eval_loss": 0.7350872159004211,
"eval_runtime": 0.6081,
"eval_samples_per_second": 75.64,
"eval_steps_per_second": 3.289,
"step": 377
},
{
"epoch": 58.46,
"learning_rate": 4.62962962962963e-05,
"loss": 0.1281,
"step": 380
},
{
"epoch": 58.92,
"eval_accuracy": 0.717391304347826,
"eval_loss": 0.7600933313369751,
"eval_runtime": 0.5822,
"eval_samples_per_second": 79.008,
"eval_steps_per_second": 3.435,
"step": 383
},
{
"epoch": 60.0,
"learning_rate": 4.166666666666667e-05,
"loss": 0.1156,
"step": 390
},
{
"epoch": 60.0,
"eval_accuracy": 0.717391304347826,
"eval_loss": 0.7990931868553162,
"eval_runtime": 0.6251,
"eval_samples_per_second": 73.589,
"eval_steps_per_second": 3.2,
"step": 390
},
{
"epoch": 60.92,
"eval_accuracy": 0.7608695652173914,
"eval_loss": 0.7775823473930359,
"eval_runtime": 0.5922,
"eval_samples_per_second": 77.678,
"eval_steps_per_second": 3.377,
"step": 396
},
{
"epoch": 61.54,
"learning_rate": 3.7037037037037037e-05,
"loss": 0.0852,
"step": 400
},
{
"epoch": 62.0,
"eval_accuracy": 0.7391304347826086,
"eval_loss": 0.78378826379776,
"eval_runtime": 0.6126,
"eval_samples_per_second": 75.09,
"eval_steps_per_second": 3.265,
"step": 403
},
{
"epoch": 62.92,
"eval_accuracy": 0.7608695652173914,
"eval_loss": 0.7752338647842407,
"eval_runtime": 0.594,
"eval_samples_per_second": 77.443,
"eval_steps_per_second": 3.367,
"step": 409
},
{
"epoch": 63.08,
"learning_rate": 3.240740740740741e-05,
"loss": 0.1106,
"step": 410
},
{
"epoch": 64.0,
"eval_accuracy": 0.7608695652173914,
"eval_loss": 0.7541300058364868,
"eval_runtime": 0.6316,
"eval_samples_per_second": 72.826,
"eval_steps_per_second": 3.166,
"step": 416
},
{
"epoch": 64.62,
"learning_rate": 2.777777777777778e-05,
"loss": 0.0817,
"step": 420
},
{
"epoch": 64.92,
"eval_accuracy": 0.7391304347826086,
"eval_loss": 0.7536001801490784,
"eval_runtime": 0.6469,
"eval_samples_per_second": 71.106,
"eval_steps_per_second": 3.092,
"step": 422
},
{
"epoch": 66.0,
"eval_accuracy": 0.7608695652173914,
"eval_loss": 0.8129211068153381,
"eval_runtime": 0.5986,
"eval_samples_per_second": 76.844,
"eval_steps_per_second": 3.341,
"step": 429
},
{
"epoch": 66.15,
"learning_rate": 2.314814814814815e-05,
"loss": 0.1211,
"step": 430
},
{
"epoch": 66.92,
"eval_accuracy": 0.7608695652173914,
"eval_loss": 0.7883771061897278,
"eval_runtime": 0.6108,
"eval_samples_per_second": 75.306,
"eval_steps_per_second": 3.274,
"step": 435
},
{
"epoch": 67.69,
"learning_rate": 1.8518518518518518e-05,
"loss": 0.0944,
"step": 440
},
{
"epoch": 68.0,
"eval_accuracy": 0.7608695652173914,
"eval_loss": 0.8011212348937988,
"eval_runtime": 0.5979,
"eval_samples_per_second": 76.93,
"eval_steps_per_second": 3.345,
"step": 442
},
{
"epoch": 68.92,
"eval_accuracy": 0.7391304347826086,
"eval_loss": 0.806803822517395,
"eval_runtime": 0.5931,
"eval_samples_per_second": 77.56,
"eval_steps_per_second": 3.372,
"step": 448
},
{
"epoch": 69.23,
"learning_rate": 1.388888888888889e-05,
"loss": 0.1187,
"step": 450
},
{
"epoch": 70.0,
"eval_accuracy": 0.7391304347826086,
"eval_loss": 0.7795934081077576,
"eval_runtime": 0.6317,
"eval_samples_per_second": 72.821,
"eval_steps_per_second": 3.166,
"step": 455
},
{
"epoch": 70.77,
"learning_rate": 9.259259259259259e-06,
"loss": 0.0935,
"step": 460
},
{
"epoch": 70.92,
"eval_accuracy": 0.7391304347826086,
"eval_loss": 0.793422281742096,
"eval_runtime": 0.5934,
"eval_samples_per_second": 77.523,
"eval_steps_per_second": 3.371,
"step": 461
},
{
"epoch": 72.0,
"eval_accuracy": 0.7391304347826086,
"eval_loss": 0.736743152141571,
"eval_runtime": 0.6082,
"eval_samples_per_second": 75.631,
"eval_steps_per_second": 3.288,
"step": 468
},
{
"epoch": 72.31,
"learning_rate": 4.6296296296296296e-06,
"loss": 0.109,
"step": 470
},
{
"epoch": 72.92,
"eval_accuracy": 0.7391304347826086,
"eval_loss": 0.7514945268630981,
"eval_runtime": 0.604,
"eval_samples_per_second": 76.157,
"eval_steps_per_second": 3.311,
"step": 474
},
{
"epoch": 73.85,
"learning_rate": 0.0,
"loss": 0.1006,
"step": 480
},
{
"epoch": 73.85,
"eval_accuracy": 0.717391304347826,
"eval_loss": 0.7887920141220093,
"eval_runtime": 0.613,
"eval_samples_per_second": 75.037,
"eval_steps_per_second": 3.262,
"step": 480
},
{
"epoch": 73.85,
"step": 480,
"total_flos": 1.6581977329862246e+17,
"train_loss": 0.38448232350250083,
"train_runtime": 275.3303,
"train_samples_per_second": 237.969,
"train_steps_per_second": 1.743
}
],
"logging_steps": 10,
"max_steps": 480,
"num_input_tokens_seen": 0,
"num_train_epochs": 80,
"save_steps": 500,
"total_flos": 1.6581977329862246e+17,
"train_batch_size": 32,
"trial_name": null,
"trial_params": null
}