dima806's picture
Upload folder using huggingface_hub
e01e16d
raw
history blame
6.71 kB
{
"best_metric": 0.5859972834587097,
"best_model_checkpoint": "facial_emotions_image_detection/checkpoint-15740",
"epoch": 10.0,
"eval_steps": 500,
"global_step": 15740,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.32,
"learning_rate": 9.7131931166348e-06,
"loss": 1.5691,
"step": 500
},
{
"epoch": 0.64,
"learning_rate": 9.394518801784576e-06,
"loss": 1.1566,
"step": 1000
},
{
"epoch": 0.95,
"learning_rate": 9.075844486934355e-06,
"loss": 1.005,
"step": 1500
},
{
"epoch": 1.0,
"eval_accuracy": 0.6603098927294399,
"eval_loss": 1.0014679431915283,
"eval_runtime": 113.4351,
"eval_samples_per_second": 110.944,
"eval_steps_per_second": 13.876,
"step": 1574
},
{
"epoch": 1.27,
"learning_rate": 8.757170172084131e-06,
"loss": 0.9148,
"step": 2000
},
{
"epoch": 1.59,
"learning_rate": 8.438495857233908e-06,
"loss": 0.8522,
"step": 2500
},
{
"epoch": 1.91,
"learning_rate": 8.119821542383684e-06,
"loss": 0.8063,
"step": 3000
},
{
"epoch": 2.0,
"eval_accuracy": 0.7133889551052841,
"eval_loss": 0.8330217003822327,
"eval_runtime": 108.2894,
"eval_samples_per_second": 116.216,
"eval_steps_per_second": 14.535,
"step": 3148
},
{
"epoch": 2.22,
"learning_rate": 7.80114722753346e-06,
"loss": 0.7566,
"step": 3500
},
{
"epoch": 2.54,
"learning_rate": 7.482472912683239e-06,
"loss": 0.7097,
"step": 4000
},
{
"epoch": 2.86,
"learning_rate": 7.163798597833015e-06,
"loss": 0.7016,
"step": 4500
},
{
"epoch": 3.0,
"eval_accuracy": 0.7423917361938817,
"eval_loss": 0.7428602576255798,
"eval_runtime": 107.858,
"eval_samples_per_second": 116.681,
"eval_steps_per_second": 14.593,
"step": 4722
},
{
"epoch": 3.18,
"learning_rate": 6.8451242829827925e-06,
"loss": 0.6608,
"step": 5000
},
{
"epoch": 3.49,
"learning_rate": 6.526449968132569e-06,
"loss": 0.6235,
"step": 5500
},
{
"epoch": 3.81,
"learning_rate": 6.207775653282346e-06,
"loss": 0.6138,
"step": 6000
},
{
"epoch": 4.0,
"eval_accuracy": 0.7507350019864919,
"eval_loss": 0.7060629725456238,
"eval_runtime": 109.3785,
"eval_samples_per_second": 115.059,
"eval_steps_per_second": 14.39,
"step": 6296
},
{
"epoch": 4.13,
"learning_rate": 5.889101338432123e-06,
"loss": 0.5723,
"step": 6500
},
{
"epoch": 4.45,
"learning_rate": 5.5704270235819e-06,
"loss": 0.5429,
"step": 7000
},
{
"epoch": 4.76,
"learning_rate": 5.251752708731677e-06,
"loss": 0.5403,
"step": 7500
},
{
"epoch": 5.0,
"eval_accuracy": 0.7726658720699245,
"eval_loss": 0.6644242405891418,
"eval_runtime": 108.6283,
"eval_samples_per_second": 115.854,
"eval_steps_per_second": 14.49,
"step": 7870
},
{
"epoch": 5.08,
"learning_rate": 4.933078393881454e-06,
"loss": 0.5112,
"step": 8000
},
{
"epoch": 5.4,
"learning_rate": 4.61440407903123e-06,
"loss": 0.4647,
"step": 8500
},
{
"epoch": 5.72,
"learning_rate": 4.295729764181008e-06,
"loss": 0.4584,
"step": 9000
},
{
"epoch": 6.0,
"eval_accuracy": 0.7871275327771157,
"eval_loss": 0.6358364820480347,
"eval_runtime": 108.2696,
"eval_samples_per_second": 116.238,
"eval_steps_per_second": 14.538,
"step": 9444
},
{
"epoch": 6.04,
"learning_rate": 3.977055449330784e-06,
"loss": 0.4567,
"step": 9500
},
{
"epoch": 6.35,
"learning_rate": 3.6583811344805616e-06,
"loss": 0.4134,
"step": 10000
},
{
"epoch": 6.67,
"learning_rate": 3.339706819630338e-06,
"loss": 0.3957,
"step": 10500
},
{
"epoch": 6.99,
"learning_rate": 3.021032504780115e-06,
"loss": 0.3991,
"step": 11000
},
{
"epoch": 7.0,
"eval_accuracy": 0.800238379022646,
"eval_loss": 0.6062497496604919,
"eval_runtime": 108.4345,
"eval_samples_per_second": 116.061,
"eval_steps_per_second": 14.516,
"step": 11018
},
{
"epoch": 7.31,
"learning_rate": 2.702358189929892e-06,
"loss": 0.3545,
"step": 11500
},
{
"epoch": 7.62,
"learning_rate": 2.3836838750796687e-06,
"loss": 0.3538,
"step": 12000
},
{
"epoch": 7.94,
"learning_rate": 2.0650095602294456e-06,
"loss": 0.3544,
"step": 12500
},
{
"epoch": 8.0,
"eval_accuracy": 0.8045292014302742,
"eval_loss": 0.6008493900299072,
"eval_runtime": 110.3834,
"eval_samples_per_second": 114.012,
"eval_steps_per_second": 14.259,
"step": 12592
},
{
"epoch": 8.26,
"learning_rate": 1.7463352453792225e-06,
"loss": 0.3183,
"step": 13000
},
{
"epoch": 8.58,
"learning_rate": 1.4276609305289997e-06,
"loss": 0.3218,
"step": 13500
},
{
"epoch": 8.89,
"learning_rate": 1.1089866156787763e-06,
"loss": 0.3184,
"step": 14000
},
{
"epoch": 9.0,
"eval_accuracy": 0.8116805721096544,
"eval_loss": 0.590340256690979,
"eval_runtime": 108.9419,
"eval_samples_per_second": 115.52,
"eval_steps_per_second": 14.448,
"step": 14166
},
{
"epoch": 9.21,
"learning_rate": 7.903123008285534e-07,
"loss": 0.3054,
"step": 14500
},
{
"epoch": 9.53,
"learning_rate": 4.7163798597833015e-07,
"loss": 0.2813,
"step": 15000
},
{
"epoch": 9.85,
"learning_rate": 1.5296367112810708e-07,
"loss": 0.2984,
"step": 15500
},
{
"epoch": 10.0,
"eval_accuracy": 0.8162097735399285,
"eval_loss": 0.5859972834587097,
"eval_runtime": 111.4622,
"eval_samples_per_second": 112.908,
"eval_steps_per_second": 14.121,
"step": 15740
}
],
"logging_steps": 500,
"max_steps": 15740,
"num_train_epochs": 10,
"save_steps": 500,
"total_flos": 3.900966581033497e+19,
"trial_name": null,
"trial_params": null
}