dima806's picture
Upload folder using huggingface_hub
f0cbdaf
raw
history blame
8.35 kB
{
"best_metric": 0.9747084379196167,
"best_model_checkpoint": "fruit_vegetable_image_detection/checkpoint-2610",
"epoch": 30.0,
"eval_steps": 500,
"global_step": 2610,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 1.0,
"eval_accuracy": 0.45217391304347826,
"eval_loss": 3.413668394088745,
"eval_runtime": 31.8642,
"eval_samples_per_second": 21.654,
"eval_steps_per_second": 2.73,
"step": 87
},
{
"epoch": 2.0,
"eval_accuracy": 0.7623188405797101,
"eval_loss": 3.100569725036621,
"eval_runtime": 31.6151,
"eval_samples_per_second": 21.825,
"eval_steps_per_second": 2.752,
"step": 174
},
{
"epoch": 3.0,
"eval_accuracy": 0.8420289855072464,
"eval_loss": 2.817446231842041,
"eval_runtime": 31.4959,
"eval_samples_per_second": 21.908,
"eval_steps_per_second": 2.762,
"step": 261
},
{
"epoch": 4.0,
"eval_accuracy": 0.8579710144927536,
"eval_loss": 2.5662131309509277,
"eval_runtime": 31.3214,
"eval_samples_per_second": 22.03,
"eval_steps_per_second": 2.778,
"step": 348
},
{
"epoch": 5.0,
"eval_accuracy": 0.8753623188405797,
"eval_loss": 2.3473355770111084,
"eval_runtime": 31.4215,
"eval_samples_per_second": 21.96,
"eval_steps_per_second": 2.769,
"step": 435
},
{
"epoch": 5.75,
"learning_rate": 8.242187500000001e-06,
"loss": 2.8278,
"step": 500
},
{
"epoch": 6.0,
"eval_accuracy": 0.8739130434782608,
"eval_loss": 2.1650309562683105,
"eval_runtime": 31.0716,
"eval_samples_per_second": 22.207,
"eval_steps_per_second": 2.8,
"step": 522
},
{
"epoch": 7.0,
"eval_accuracy": 0.8826086956521739,
"eval_loss": 2.007321834564209,
"eval_runtime": 31.1654,
"eval_samples_per_second": 22.14,
"eval_steps_per_second": 2.792,
"step": 609
},
{
"epoch": 8.0,
"eval_accuracy": 0.8884057971014493,
"eval_loss": 1.872201919555664,
"eval_runtime": 32.285,
"eval_samples_per_second": 21.372,
"eval_steps_per_second": 2.695,
"step": 696
},
{
"epoch": 9.0,
"eval_accuracy": 0.8913043478260869,
"eval_loss": 1.7544584274291992,
"eval_runtime": 31.8948,
"eval_samples_per_second": 21.634,
"eval_steps_per_second": 2.728,
"step": 783
},
{
"epoch": 10.0,
"eval_accuracy": 0.8855072463768116,
"eval_loss": 1.647611141204834,
"eval_runtime": 35.3695,
"eval_samples_per_second": 19.508,
"eval_steps_per_second": 2.46,
"step": 870
},
{
"epoch": 11.0,
"eval_accuracy": 0.8927536231884058,
"eval_loss": 1.5588265657424927,
"eval_runtime": 31.805,
"eval_samples_per_second": 21.695,
"eval_steps_per_second": 2.735,
"step": 957
},
{
"epoch": 11.49,
"learning_rate": 6.2890625e-06,
"loss": 1.6708,
"step": 1000
},
{
"epoch": 12.0,
"eval_accuracy": 0.8942028985507247,
"eval_loss": 1.4784280061721802,
"eval_runtime": 31.5625,
"eval_samples_per_second": 21.861,
"eval_steps_per_second": 2.756,
"step": 1044
},
{
"epoch": 13.0,
"eval_accuracy": 0.8971014492753623,
"eval_loss": 1.4085804224014282,
"eval_runtime": 31.4333,
"eval_samples_per_second": 21.951,
"eval_steps_per_second": 2.768,
"step": 1131
},
{
"epoch": 14.0,
"eval_accuracy": 0.8985507246376812,
"eval_loss": 1.3446983098983765,
"eval_runtime": 31.561,
"eval_samples_per_second": 21.862,
"eval_steps_per_second": 2.757,
"step": 1218
},
{
"epoch": 15.0,
"eval_accuracy": 0.8985507246376812,
"eval_loss": 1.2906484603881836,
"eval_runtime": 31.4843,
"eval_samples_per_second": 21.916,
"eval_steps_per_second": 2.763,
"step": 1305
},
{
"epoch": 16.0,
"eval_accuracy": 0.9,
"eval_loss": 1.2425957918167114,
"eval_runtime": 31.4644,
"eval_samples_per_second": 21.93,
"eval_steps_per_second": 2.765,
"step": 1392
},
{
"epoch": 17.0,
"eval_accuracy": 0.9057971014492754,
"eval_loss": 1.1979601383209229,
"eval_runtime": 31.4077,
"eval_samples_per_second": 21.969,
"eval_steps_per_second": 2.77,
"step": 1479
},
{
"epoch": 17.24,
"learning_rate": 4.3359375e-06,
"loss": 1.1506,
"step": 1500
},
{
"epoch": 18.0,
"eval_accuracy": 0.9101449275362319,
"eval_loss": 1.1607540845870972,
"eval_runtime": 31.118,
"eval_samples_per_second": 22.174,
"eval_steps_per_second": 2.796,
"step": 1566
},
{
"epoch": 19.0,
"eval_accuracy": 0.9130434782608695,
"eval_loss": 1.1271917819976807,
"eval_runtime": 31.8607,
"eval_samples_per_second": 21.657,
"eval_steps_per_second": 2.731,
"step": 1653
},
{
"epoch": 20.0,
"eval_accuracy": 0.908695652173913,
"eval_loss": 1.0992004871368408,
"eval_runtime": 31.7729,
"eval_samples_per_second": 21.717,
"eval_steps_per_second": 2.738,
"step": 1740
},
{
"epoch": 21.0,
"eval_accuracy": 0.9144927536231884,
"eval_loss": 1.0763933658599854,
"eval_runtime": 31.7621,
"eval_samples_per_second": 21.724,
"eval_steps_per_second": 2.739,
"step": 1827
},
{
"epoch": 22.0,
"eval_accuracy": 0.9115942028985508,
"eval_loss": 1.0521405935287476,
"eval_runtime": 31.7427,
"eval_samples_per_second": 21.737,
"eval_steps_per_second": 2.741,
"step": 1914
},
{
"epoch": 22.99,
"learning_rate": 2.3828125000000003e-06,
"loss": 0.8876,
"step": 2000
},
{
"epoch": 23.0,
"eval_accuracy": 0.9130434782608695,
"eval_loss": 1.0325771570205688,
"eval_runtime": 32.3662,
"eval_samples_per_second": 21.319,
"eval_steps_per_second": 2.688,
"step": 2001
},
{
"epoch": 24.0,
"eval_accuracy": 0.9144927536231884,
"eval_loss": 1.0169775485992432,
"eval_runtime": 32.1403,
"eval_samples_per_second": 21.468,
"eval_steps_per_second": 2.707,
"step": 2088
},
{
"epoch": 25.0,
"eval_accuracy": 0.9115942028985508,
"eval_loss": 1.0033783912658691,
"eval_runtime": 31.6883,
"eval_samples_per_second": 21.775,
"eval_steps_per_second": 2.745,
"step": 2175
},
{
"epoch": 26.0,
"eval_accuracy": 0.9130434782608695,
"eval_loss": 0.99229896068573,
"eval_runtime": 31.8,
"eval_samples_per_second": 21.698,
"eval_steps_per_second": 2.736,
"step": 2262
},
{
"epoch": 27.0,
"eval_accuracy": 0.9115942028985508,
"eval_loss": 0.9860368371009827,
"eval_runtime": 31.6691,
"eval_samples_per_second": 21.788,
"eval_steps_per_second": 2.747,
"step": 2349
},
{
"epoch": 28.0,
"eval_accuracy": 0.9130434782608695,
"eval_loss": 0.9801862239837646,
"eval_runtime": 31.6203,
"eval_samples_per_second": 21.821,
"eval_steps_per_second": 2.751,
"step": 2436
},
{
"epoch": 28.74,
"learning_rate": 4.296875e-07,
"loss": 0.7689,
"step": 2500
},
{
"epoch": 29.0,
"eval_accuracy": 0.9130434782608695,
"eval_loss": 0.9760327935218811,
"eval_runtime": 31.5973,
"eval_samples_per_second": 21.837,
"eval_steps_per_second": 2.753,
"step": 2523
},
{
"epoch": 30.0,
"eval_accuracy": 0.9130434782608695,
"eval_loss": 0.9747084379196167,
"eval_runtime": 31.6656,
"eval_samples_per_second": 21.79,
"eval_steps_per_second": 2.747,
"step": 2610
}
],
"logging_steps": 500,
"max_steps": 2610,
"num_train_epochs": 30,
"save_steps": 500,
"total_flos": 6.413641062145229e+18,
"trial_name": null,
"trial_params": null
}