AnneMarie1's picture
End of training
9d4ef70
{
"best_metric": 0.9845857418111753,
"best_model_checkpoint": "clip-vit-large-patch14-finetuned-fruits-360_vitlarge/checkpoint-240",
"epoch": 4.923076923076923,
"global_step": 240,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.21,
"learning_rate": 2.0833333333333336e-05,
"loss": 2.7421,
"step": 10
},
{
"epoch": 0.41,
"learning_rate": 4.166666666666667e-05,
"loss": 1.7164,
"step": 20
},
{
"epoch": 0.62,
"learning_rate": 4.8611111111111115e-05,
"loss": 1.3248,
"step": 30
},
{
"epoch": 0.82,
"learning_rate": 4.62962962962963e-05,
"loss": 1.0674,
"step": 40
},
{
"epoch": 0.98,
"eval_accuracy": 0.7475915221579962,
"eval_loss": 0.6957976222038269,
"eval_runtime": 62.2188,
"eval_samples_per_second": 50.049,
"eval_steps_per_second": 1.575,
"step": 48
},
{
"epoch": 1.03,
"learning_rate": 4.3981481481481486e-05,
"loss": 0.8297,
"step": 50
},
{
"epoch": 1.23,
"learning_rate": 4.166666666666667e-05,
"loss": 0.718,
"step": 60
},
{
"epoch": 1.44,
"learning_rate": 3.935185185185186e-05,
"loss": 0.7231,
"step": 70
},
{
"epoch": 1.64,
"learning_rate": 3.7037037037037037e-05,
"loss": 0.6447,
"step": 80
},
{
"epoch": 1.85,
"learning_rate": 3.472222222222222e-05,
"loss": 0.5475,
"step": 90
},
{
"epoch": 1.99,
"eval_accuracy": 0.8542068079640334,
"eval_loss": 0.44836971163749695,
"eval_runtime": 64.139,
"eval_samples_per_second": 48.551,
"eval_steps_per_second": 1.528,
"step": 97
},
{
"epoch": 2.05,
"learning_rate": 3.240740740740741e-05,
"loss": 0.6017,
"step": 100
},
{
"epoch": 2.26,
"learning_rate": 3.0092592592592593e-05,
"loss": 0.5081,
"step": 110
},
{
"epoch": 2.46,
"learning_rate": 2.777777777777778e-05,
"loss": 0.4969,
"step": 120
},
{
"epoch": 2.67,
"learning_rate": 2.5462962962962965e-05,
"loss": 0.4153,
"step": 130
},
{
"epoch": 2.87,
"learning_rate": 2.314814814814815e-05,
"loss": 0.4065,
"step": 140
},
{
"epoch": 2.99,
"eval_accuracy": 0.9274245343609505,
"eval_loss": 0.22493986785411835,
"eval_runtime": 63.0661,
"eval_samples_per_second": 49.377,
"eval_steps_per_second": 1.554,
"step": 146
},
{
"epoch": 3.08,
"learning_rate": 2.0833333333333336e-05,
"loss": 0.3714,
"step": 150
},
{
"epoch": 3.28,
"learning_rate": 1.8518518518518518e-05,
"loss": 0.3319,
"step": 160
},
{
"epoch": 3.49,
"learning_rate": 1.6203703703703704e-05,
"loss": 0.3135,
"step": 170
},
{
"epoch": 3.69,
"learning_rate": 1.388888888888889e-05,
"loss": 0.2645,
"step": 180
},
{
"epoch": 3.9,
"learning_rate": 1.1574074074074075e-05,
"loss": 0.2386,
"step": 190
},
{
"epoch": 4.0,
"eval_accuracy": 0.9723827874116892,
"eval_loss": 0.11541179567575455,
"eval_runtime": 63.0456,
"eval_samples_per_second": 49.393,
"eval_steps_per_second": 1.554,
"step": 195
},
{
"epoch": 4.1,
"learning_rate": 9.259259259259259e-06,
"loss": 0.2559,
"step": 200
},
{
"epoch": 4.31,
"learning_rate": 6.944444444444445e-06,
"loss": 0.2543,
"step": 210
},
{
"epoch": 4.51,
"learning_rate": 4.6296296296296296e-06,
"loss": 0.2274,
"step": 220
},
{
"epoch": 4.72,
"learning_rate": 2.3148148148148148e-06,
"loss": 0.1793,
"step": 230
},
{
"epoch": 4.92,
"learning_rate": 0.0,
"loss": 0.197,
"step": 240
},
{
"epoch": 4.92,
"eval_accuracy": 0.9845857418111753,
"eval_loss": 0.07430984824895859,
"eval_runtime": 62.3565,
"eval_samples_per_second": 49.939,
"eval_steps_per_second": 1.572,
"step": 240
},
{
"epoch": 4.92,
"step": 240,
"total_flos": 2.378233054601478e+18,
"train_loss": 0.6406697725256284,
"train_runtime": 1704.9827,
"train_samples_per_second": 18.273,
"train_steps_per_second": 0.141
}
],
"max_steps": 240,
"num_train_epochs": 5,
"total_flos": 2.378233054601478e+18,
"trial_name": null,
"trial_params": null
}