vit-base-beans / trainer_state.json
fmagot01's picture
End of training
0daf488
raw
history blame
4.28 kB
{
"best_metric": 0.040785256773233414,
"best_model_checkpoint": "./vit-base-beans/checkpoint-100",
"epoch": 4.0,
"eval_steps": 100,
"global_step": 260,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.15,
"learning_rate": 0.00019230769230769233,
"loss": 0.8157,
"step": 10
},
{
"epoch": 0.31,
"learning_rate": 0.00018461538461538463,
"loss": 0.2831,
"step": 20
},
{
"epoch": 0.46,
"learning_rate": 0.00017692307692307693,
"loss": 0.3068,
"step": 30
},
{
"epoch": 0.62,
"learning_rate": 0.00016923076923076923,
"loss": 0.1716,
"step": 40
},
{
"epoch": 0.77,
"learning_rate": 0.00016153846153846155,
"loss": 0.1635,
"step": 50
},
{
"epoch": 0.92,
"learning_rate": 0.00015384615384615385,
"loss": 0.2457,
"step": 60
},
{
"epoch": 1.08,
"learning_rate": 0.00014615384615384615,
"loss": 0.1132,
"step": 70
},
{
"epoch": 1.23,
"learning_rate": 0.00013846153846153847,
"loss": 0.1054,
"step": 80
},
{
"epoch": 1.38,
"learning_rate": 0.00013076923076923077,
"loss": 0.0803,
"step": 90
},
{
"epoch": 1.54,
"learning_rate": 0.0001230769230769231,
"loss": 0.1329,
"step": 100
},
{
"epoch": 1.54,
"eval_accuracy": 0.9924812030075187,
"eval_loss": 0.040785256773233414,
"eval_runtime": 2.0027,
"eval_samples_per_second": 66.41,
"eval_steps_per_second": 8.489,
"step": 100
},
{
"epoch": 1.69,
"learning_rate": 0.00011538461538461538,
"loss": 0.1052,
"step": 110
},
{
"epoch": 1.85,
"learning_rate": 0.0001076923076923077,
"loss": 0.0751,
"step": 120
},
{
"epoch": 2.0,
"learning_rate": 0.0001,
"loss": 0.107,
"step": 130
},
{
"epoch": 2.15,
"learning_rate": 9.230769230769232e-05,
"loss": 0.0225,
"step": 140
},
{
"epoch": 2.31,
"learning_rate": 8.461538461538461e-05,
"loss": 0.0506,
"step": 150
},
{
"epoch": 2.46,
"learning_rate": 7.692307692307693e-05,
"loss": 0.018,
"step": 160
},
{
"epoch": 2.62,
"learning_rate": 6.923076923076924e-05,
"loss": 0.0444,
"step": 170
},
{
"epoch": 2.77,
"learning_rate": 6.153846153846155e-05,
"loss": 0.0305,
"step": 180
},
{
"epoch": 2.92,
"learning_rate": 5.384615384615385e-05,
"loss": 0.0317,
"step": 190
},
{
"epoch": 3.08,
"learning_rate": 4.615384615384616e-05,
"loss": 0.0169,
"step": 200
},
{
"epoch": 3.08,
"eval_accuracy": 0.9849624060150376,
"eval_loss": 0.062186792492866516,
"eval_runtime": 2.4481,
"eval_samples_per_second": 54.328,
"eval_steps_per_second": 6.944,
"step": 200
},
{
"epoch": 3.23,
"learning_rate": 3.846153846153846e-05,
"loss": 0.0116,
"step": 210
},
{
"epoch": 3.38,
"learning_rate": 3.0769230769230774e-05,
"loss": 0.0114,
"step": 220
},
{
"epoch": 3.54,
"learning_rate": 2.307692307692308e-05,
"loss": 0.0297,
"step": 230
},
{
"epoch": 3.69,
"learning_rate": 1.5384615384615387e-05,
"loss": 0.0105,
"step": 240
},
{
"epoch": 3.85,
"learning_rate": 7.692307692307694e-06,
"loss": 0.0107,
"step": 250
},
{
"epoch": 4.0,
"learning_rate": 0.0,
"loss": 0.011,
"step": 260
},
{
"epoch": 4.0,
"step": 260,
"total_flos": 3.205097416476426e+17,
"train_loss": 0.11557345737058383,
"train_runtime": 138.3777,
"train_samples_per_second": 29.889,
"train_steps_per_second": 1.879
}
],
"logging_steps": 10,
"max_steps": 260,
"num_train_epochs": 4,
"save_steps": 100,
"total_flos": 3.205097416476426e+17,
"trial_name": null,
"trial_params": null
}