beit-base-patch16-224-DMAE-5e-5 / trainer_state.json
Augusto777's picture
End of training
c30d14c verified
raw
history blame
11.1 kB
{
"best_metric": 0.8043478260869565,
"best_model_checkpoint": "beit-base-patch16-224-DMAE-5e-5\\checkpoint-98",
"epoch": 34.285714285714285,
"eval_steps": 500,
"global_step": 120,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.86,
"eval_accuracy": 0.45652173913043476,
"eval_loss": 1.381615161895752,
"eval_runtime": 0.7932,
"eval_samples_per_second": 57.995,
"eval_steps_per_second": 3.782,
"step": 3
},
{
"epoch": 2.0,
"eval_accuracy": 0.45652173913043476,
"eval_loss": 1.3503844738006592,
"eval_runtime": 0.8112,
"eval_samples_per_second": 56.707,
"eval_steps_per_second": 3.698,
"step": 7
},
{
"epoch": 2.86,
"learning_rate": 4.166666666666667e-05,
"loss": 1.3654,
"step": 10
},
{
"epoch": 2.86,
"eval_accuracy": 0.45652173913043476,
"eval_loss": 1.307466745376587,
"eval_runtime": 0.7822,
"eval_samples_per_second": 58.809,
"eval_steps_per_second": 3.835,
"step": 10
},
{
"epoch": 4.0,
"eval_accuracy": 0.45652173913043476,
"eval_loss": 1.244441032409668,
"eval_runtime": 0.7842,
"eval_samples_per_second": 58.66,
"eval_steps_per_second": 3.826,
"step": 14
},
{
"epoch": 4.86,
"eval_accuracy": 0.45652173913043476,
"eval_loss": 1.2088861465454102,
"eval_runtime": 0.7852,
"eval_samples_per_second": 58.586,
"eval_steps_per_second": 3.821,
"step": 17
},
{
"epoch": 5.71,
"learning_rate": 4.62962962962963e-05,
"loss": 1.2386,
"step": 20
},
{
"epoch": 6.0,
"eval_accuracy": 0.45652173913043476,
"eval_loss": 1.1710909605026245,
"eval_runtime": 0.7777,
"eval_samples_per_second": 59.15,
"eval_steps_per_second": 3.858,
"step": 21
},
{
"epoch": 6.86,
"eval_accuracy": 0.45652173913043476,
"eval_loss": 1.14915132522583,
"eval_runtime": 0.8062,
"eval_samples_per_second": 57.059,
"eval_steps_per_second": 3.721,
"step": 24
},
{
"epoch": 8.0,
"eval_accuracy": 0.4782608695652174,
"eval_loss": 1.1050454378128052,
"eval_runtime": 0.7812,
"eval_samples_per_second": 58.886,
"eval_steps_per_second": 3.84,
"step": 28
},
{
"epoch": 8.57,
"learning_rate": 4.166666666666667e-05,
"loss": 1.132,
"step": 30
},
{
"epoch": 8.86,
"eval_accuracy": 0.6521739130434783,
"eval_loss": 1.0928192138671875,
"eval_runtime": 0.7982,
"eval_samples_per_second": 57.631,
"eval_steps_per_second": 3.759,
"step": 31
},
{
"epoch": 10.0,
"eval_accuracy": 0.6739130434782609,
"eval_loss": 1.0229545831680298,
"eval_runtime": 0.8342,
"eval_samples_per_second": 55.144,
"eval_steps_per_second": 3.596,
"step": 35
},
{
"epoch": 10.86,
"eval_accuracy": 0.6521739130434783,
"eval_loss": 0.9864158034324646,
"eval_runtime": 0.7922,
"eval_samples_per_second": 58.067,
"eval_steps_per_second": 3.787,
"step": 38
},
{
"epoch": 11.43,
"learning_rate": 3.7037037037037037e-05,
"loss": 1.015,
"step": 40
},
{
"epoch": 12.0,
"eval_accuracy": 0.6739130434782609,
"eval_loss": 1.005975604057312,
"eval_runtime": 0.7792,
"eval_samples_per_second": 59.037,
"eval_steps_per_second": 3.85,
"step": 42
},
{
"epoch": 12.86,
"eval_accuracy": 0.717391304347826,
"eval_loss": 0.8789530396461487,
"eval_runtime": 1.0307,
"eval_samples_per_second": 44.628,
"eval_steps_per_second": 2.911,
"step": 45
},
{
"epoch": 14.0,
"eval_accuracy": 0.6739130434782609,
"eval_loss": 0.853344738483429,
"eval_runtime": 0.9702,
"eval_samples_per_second": 47.412,
"eval_steps_per_second": 3.092,
"step": 49
},
{
"epoch": 14.29,
"learning_rate": 3.240740740740741e-05,
"loss": 0.9217,
"step": 50
},
{
"epoch": 14.86,
"eval_accuracy": 0.6956521739130435,
"eval_loss": 0.8203216791152954,
"eval_runtime": 0.8002,
"eval_samples_per_second": 57.487,
"eval_steps_per_second": 3.749,
"step": 52
},
{
"epoch": 16.0,
"eval_accuracy": 0.6739130434782609,
"eval_loss": 0.8151666522026062,
"eval_runtime": 0.8012,
"eval_samples_per_second": 57.414,
"eval_steps_per_second": 3.744,
"step": 56
},
{
"epoch": 16.86,
"eval_accuracy": 0.6521739130434783,
"eval_loss": 0.8598169088363647,
"eval_runtime": 0.7827,
"eval_samples_per_second": 58.772,
"eval_steps_per_second": 3.833,
"step": 59
},
{
"epoch": 17.14,
"learning_rate": 2.777777777777778e-05,
"loss": 0.7989,
"step": 60
},
{
"epoch": 18.0,
"eval_accuracy": 0.6956521739130435,
"eval_loss": 0.7979407906532288,
"eval_runtime": 0.7862,
"eval_samples_per_second": 58.511,
"eval_steps_per_second": 3.816,
"step": 63
},
{
"epoch": 18.86,
"eval_accuracy": 0.6739130434782609,
"eval_loss": 0.7554780840873718,
"eval_runtime": 0.7872,
"eval_samples_per_second": 58.437,
"eval_steps_per_second": 3.811,
"step": 66
},
{
"epoch": 20.0,
"learning_rate": 2.314814814814815e-05,
"loss": 0.7309,
"step": 70
},
{
"epoch": 20.0,
"eval_accuracy": 0.7608695652173914,
"eval_loss": 0.7019062042236328,
"eval_runtime": 0.8452,
"eval_samples_per_second": 54.425,
"eval_steps_per_second": 3.549,
"step": 70
},
{
"epoch": 20.86,
"eval_accuracy": 0.717391304347826,
"eval_loss": 0.7253907322883606,
"eval_runtime": 0.8162,
"eval_samples_per_second": 56.359,
"eval_steps_per_second": 3.676,
"step": 73
},
{
"epoch": 22.0,
"eval_accuracy": 0.6739130434782609,
"eval_loss": 0.7267776131629944,
"eval_runtime": 0.7792,
"eval_samples_per_second": 59.037,
"eval_steps_per_second": 3.85,
"step": 77
},
{
"epoch": 22.86,
"learning_rate": 1.8518518518518518e-05,
"loss": 0.6267,
"step": 80
},
{
"epoch": 22.86,
"eval_accuracy": 0.6739130434782609,
"eval_loss": 0.7095625400543213,
"eval_runtime": 0.7832,
"eval_samples_per_second": 58.735,
"eval_steps_per_second": 3.831,
"step": 80
},
{
"epoch": 24.0,
"eval_accuracy": 0.6739130434782609,
"eval_loss": 0.7568075060844421,
"eval_runtime": 0.7902,
"eval_samples_per_second": 58.215,
"eval_steps_per_second": 3.797,
"step": 84
},
{
"epoch": 24.86,
"eval_accuracy": 0.7391304347826086,
"eval_loss": 0.6565390825271606,
"eval_runtime": 0.7832,
"eval_samples_per_second": 58.735,
"eval_steps_per_second": 3.831,
"step": 87
},
{
"epoch": 25.71,
"learning_rate": 1.388888888888889e-05,
"loss": 0.564,
"step": 90
},
{
"epoch": 26.0,
"eval_accuracy": 0.7391304347826086,
"eval_loss": 0.703463077545166,
"eval_runtime": 0.8392,
"eval_samples_per_second": 54.815,
"eval_steps_per_second": 3.575,
"step": 91
},
{
"epoch": 26.86,
"eval_accuracy": 0.7391304347826086,
"eval_loss": 0.7081196904182434,
"eval_runtime": 0.7792,
"eval_samples_per_second": 59.037,
"eval_steps_per_second": 3.85,
"step": 94
},
{
"epoch": 28.0,
"eval_accuracy": 0.8043478260869565,
"eval_loss": 0.6235552430152893,
"eval_runtime": 0.7842,
"eval_samples_per_second": 58.66,
"eval_steps_per_second": 3.826,
"step": 98
},
{
"epoch": 28.57,
"learning_rate": 9.259259259259259e-06,
"loss": 0.5625,
"step": 100
},
{
"epoch": 28.86,
"eval_accuracy": 0.8043478260869565,
"eval_loss": 0.6090804934501648,
"eval_runtime": 0.7902,
"eval_samples_per_second": 58.214,
"eval_steps_per_second": 3.797,
"step": 101
},
{
"epoch": 30.0,
"eval_accuracy": 0.7608695652173914,
"eval_loss": 0.652334988117218,
"eval_runtime": 0.7812,
"eval_samples_per_second": 58.886,
"eval_steps_per_second": 3.84,
"step": 105
},
{
"epoch": 30.86,
"eval_accuracy": 0.782608695652174,
"eval_loss": 0.6235449910163879,
"eval_runtime": 0.7912,
"eval_samples_per_second": 58.141,
"eval_steps_per_second": 3.792,
"step": 108
},
{
"epoch": 31.43,
"learning_rate": 4.6296296296296296e-06,
"loss": 0.5185,
"step": 110
},
{
"epoch": 32.0,
"eval_accuracy": 0.782608695652174,
"eval_loss": 0.5974029898643494,
"eval_runtime": 0.7762,
"eval_samples_per_second": 59.265,
"eval_steps_per_second": 3.865,
"step": 112
},
{
"epoch": 32.86,
"eval_accuracy": 0.782608695652174,
"eval_loss": 0.5943583846092224,
"eval_runtime": 0.7887,
"eval_samples_per_second": 58.324,
"eval_steps_per_second": 3.804,
"step": 115
},
{
"epoch": 34.0,
"eval_accuracy": 0.782608695652174,
"eval_loss": 0.6004733443260193,
"eval_runtime": 0.7862,
"eval_samples_per_second": 58.511,
"eval_steps_per_second": 3.816,
"step": 119
},
{
"epoch": 34.29,
"learning_rate": 0.0,
"loss": 0.5005,
"step": 120
},
{
"epoch": 34.29,
"eval_accuracy": 0.782608695652174,
"eval_loss": 0.6005403399467468,
"eval_runtime": 0.7812,
"eval_samples_per_second": 58.886,
"eval_steps_per_second": 3.84,
"step": 120
},
{
"epoch": 34.29,
"step": 120,
"total_flos": 5.659246428298445e+17,
"train_loss": 0.8312262058258056,
"train_runtime": 279.5249,
"train_samples_per_second": 30.48,
"train_steps_per_second": 0.429
}
],
"logging_steps": 10,
"max_steps": 120,
"num_input_tokens_seen": 0,
"num_train_epochs": 40,
"save_steps": 500,
"total_flos": 5.659246428298445e+17,
"train_batch_size": 16,
"trial_name": null,
"trial_params": null
}