LeoChiuu's picture
Add new SentenceTransformer model.
b59e708 verified
raw
history blame
45.3 kB
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 15.0,
"eval_steps": 50,
"global_step": 90,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 1.0,
"grad_norm": 4.725662708282471,
"learning_rate": 3.3333333333333333e-06,
"loss": 0.2963,
"step": 6
},
{
"epoch": 1.0,
"eval_custom-arc-semantics-data-jp_cosine_accuracy": 0.6363636363636364,
"eval_custom-arc-semantics-data-jp_cosine_accuracy_threshold": 0.30786412954330444,
"eval_custom-arc-semantics-data-jp_cosine_ap": 0.682129329004329,
"eval_custom-arc-semantics-data-jp_cosine_f1": 0.7777777777777777,
"eval_custom-arc-semantics-data-jp_cosine_f1_threshold": 0.30786412954330444,
"eval_custom-arc-semantics-data-jp_cosine_precision": 0.7,
"eval_custom-arc-semantics-data-jp_cosine_recall": 0.875,
"eval_custom-arc-semantics-data-jp_dot_accuracy": 0.6363636363636364,
"eval_custom-arc-semantics-data-jp_dot_accuracy_threshold": 172.38189697265625,
"eval_custom-arc-semantics-data-jp_dot_ap": 0.682129329004329,
"eval_custom-arc-semantics-data-jp_dot_f1": 0.7777777777777777,
"eval_custom-arc-semantics-data-jp_dot_f1_threshold": 172.38189697265625,
"eval_custom-arc-semantics-data-jp_dot_precision": 0.7,
"eval_custom-arc-semantics-data-jp_dot_recall": 0.875,
"eval_custom-arc-semantics-data-jp_euclidean_accuracy": 0.6363636363636364,
"eval_custom-arc-semantics-data-jp_euclidean_accuracy_threshold": 27.785310745239258,
"eval_custom-arc-semantics-data-jp_euclidean_ap": 0.682129329004329,
"eval_custom-arc-semantics-data-jp_euclidean_f1": 0.7777777777777777,
"eval_custom-arc-semantics-data-jp_euclidean_f1_threshold": 27.785310745239258,
"eval_custom-arc-semantics-data-jp_euclidean_precision": 0.7,
"eval_custom-arc-semantics-data-jp_euclidean_recall": 0.875,
"eval_custom-arc-semantics-data-jp_manhattan_accuracy": 0.6363636363636364,
"eval_custom-arc-semantics-data-jp_manhattan_accuracy_threshold": 612.4951171875,
"eval_custom-arc-semantics-data-jp_manhattan_ap": 0.6612959956709956,
"eval_custom-arc-semantics-data-jp_manhattan_f1": 0.7777777777777777,
"eval_custom-arc-semantics-data-jp_manhattan_f1_threshold": 612.4951171875,
"eval_custom-arc-semantics-data-jp_manhattan_precision": 0.7,
"eval_custom-arc-semantics-data-jp_manhattan_recall": 0.875,
"eval_custom-arc-semantics-data-jp_max_accuracy": 0.6363636363636364,
"eval_custom-arc-semantics-data-jp_max_accuracy_threshold": 612.4951171875,
"eval_custom-arc-semantics-data-jp_max_ap": 0.682129329004329,
"eval_custom-arc-semantics-data-jp_max_f1": 0.7777777777777777,
"eval_custom-arc-semantics-data-jp_max_f1_threshold": 612.4951171875,
"eval_custom-arc-semantics-data-jp_max_precision": 0.7,
"eval_custom-arc-semantics-data-jp_max_recall": 0.875,
"eval_loss": 0.3111322224140167,
"eval_runtime": 6.0296,
"eval_samples_per_second": 1.824,
"eval_steps_per_second": 0.332,
"step": 6
},
{
"epoch": 2.0,
"grad_norm": 4.223657608032227,
"learning_rate": 6.666666666666667e-06,
"loss": 0.2833,
"step": 12
},
{
"epoch": 2.0,
"eval_custom-arc-semantics-data-jp_cosine_accuracy": 0.6363636363636364,
"eval_custom-arc-semantics-data-jp_cosine_accuracy_threshold": 0.3102341890335083,
"eval_custom-arc-semantics-data-jp_cosine_ap": 0.7237959956709956,
"eval_custom-arc-semantics-data-jp_cosine_f1": 0.7777777777777777,
"eval_custom-arc-semantics-data-jp_cosine_f1_threshold": 0.3102341890335083,
"eval_custom-arc-semantics-data-jp_cosine_precision": 0.7,
"eval_custom-arc-semantics-data-jp_cosine_recall": 0.875,
"eval_custom-arc-semantics-data-jp_dot_accuracy": 0.6363636363636364,
"eval_custom-arc-semantics-data-jp_dot_accuracy_threshold": 173.5974578857422,
"eval_custom-arc-semantics-data-jp_dot_ap": 0.682129329004329,
"eval_custom-arc-semantics-data-jp_dot_f1": 0.7777777777777777,
"eval_custom-arc-semantics-data-jp_dot_f1_threshold": 173.5974578857422,
"eval_custom-arc-semantics-data-jp_dot_precision": 0.7,
"eval_custom-arc-semantics-data-jp_dot_recall": 0.875,
"eval_custom-arc-semantics-data-jp_euclidean_accuracy": 0.6363636363636364,
"eval_custom-arc-semantics-data-jp_euclidean_accuracy_threshold": 27.73798179626465,
"eval_custom-arc-semantics-data-jp_euclidean_ap": 0.7237959956709956,
"eval_custom-arc-semantics-data-jp_euclidean_f1": 0.7777777777777777,
"eval_custom-arc-semantics-data-jp_euclidean_f1_threshold": 27.73798179626465,
"eval_custom-arc-semantics-data-jp_euclidean_precision": 0.7,
"eval_custom-arc-semantics-data-jp_euclidean_recall": 0.875,
"eval_custom-arc-semantics-data-jp_manhattan_accuracy": 0.6363636363636364,
"eval_custom-arc-semantics-data-jp_manhattan_accuracy_threshold": 610.9443359375,
"eval_custom-arc-semantics-data-jp_manhattan_ap": 0.7237959956709956,
"eval_custom-arc-semantics-data-jp_manhattan_f1": 0.7777777777777777,
"eval_custom-arc-semantics-data-jp_manhattan_f1_threshold": 610.9443359375,
"eval_custom-arc-semantics-data-jp_manhattan_precision": 0.7,
"eval_custom-arc-semantics-data-jp_manhattan_recall": 0.875,
"eval_custom-arc-semantics-data-jp_max_accuracy": 0.6363636363636364,
"eval_custom-arc-semantics-data-jp_max_accuracy_threshold": 610.9443359375,
"eval_custom-arc-semantics-data-jp_max_ap": 0.7237959956709956,
"eval_custom-arc-semantics-data-jp_max_f1": 0.7777777777777777,
"eval_custom-arc-semantics-data-jp_max_f1_threshold": 610.9443359375,
"eval_custom-arc-semantics-data-jp_max_precision": 0.7,
"eval_custom-arc-semantics-data-jp_max_recall": 0.875,
"eval_loss": 0.309558629989624,
"eval_runtime": 5.9488,
"eval_samples_per_second": 1.849,
"eval_steps_per_second": 0.336,
"step": 12
},
{
"epoch": 3.0,
"grad_norm": 3.3170320987701416,
"learning_rate": 1e-05,
"loss": 0.2568,
"step": 18
},
{
"epoch": 3.0,
"eval_custom-arc-semantics-data-jp_cosine_accuracy": 0.6363636363636364,
"eval_custom-arc-semantics-data-jp_cosine_accuracy_threshold": 0.3211533725261688,
"eval_custom-arc-semantics-data-jp_cosine_ap": 0.7237959956709956,
"eval_custom-arc-semantics-data-jp_cosine_f1": 0.7777777777777777,
"eval_custom-arc-semantics-data-jp_cosine_f1_threshold": 0.3211533725261688,
"eval_custom-arc-semantics-data-jp_cosine_precision": 0.7,
"eval_custom-arc-semantics-data-jp_cosine_recall": 0.875,
"eval_custom-arc-semantics-data-jp_dot_accuracy": 0.6363636363636364,
"eval_custom-arc-semantics-data-jp_dot_accuracy_threshold": 179.75201416015625,
"eval_custom-arc-semantics-data-jp_dot_ap": 0.7237959956709956,
"eval_custom-arc-semantics-data-jp_dot_f1": 0.7777777777777777,
"eval_custom-arc-semantics-data-jp_dot_f1_threshold": 179.75201416015625,
"eval_custom-arc-semantics-data-jp_dot_precision": 0.7,
"eval_custom-arc-semantics-data-jp_dot_recall": 0.875,
"eval_custom-arc-semantics-data-jp_euclidean_accuracy": 0.6363636363636364,
"eval_custom-arc-semantics-data-jp_euclidean_accuracy_threshold": 27.536266326904297,
"eval_custom-arc-semantics-data-jp_euclidean_ap": 0.7237959956709956,
"eval_custom-arc-semantics-data-jp_euclidean_f1": 0.7777777777777777,
"eval_custom-arc-semantics-data-jp_euclidean_f1_threshold": 27.536266326904297,
"eval_custom-arc-semantics-data-jp_euclidean_precision": 0.7,
"eval_custom-arc-semantics-data-jp_euclidean_recall": 0.875,
"eval_custom-arc-semantics-data-jp_manhattan_accuracy": 0.6363636363636364,
"eval_custom-arc-semantics-data-jp_manhattan_accuracy_threshold": 605.5822143554688,
"eval_custom-arc-semantics-data-jp_manhattan_ap": 0.7237959956709956,
"eval_custom-arc-semantics-data-jp_manhattan_f1": 0.7777777777777777,
"eval_custom-arc-semantics-data-jp_manhattan_f1_threshold": 605.5822143554688,
"eval_custom-arc-semantics-data-jp_manhattan_precision": 0.7,
"eval_custom-arc-semantics-data-jp_manhattan_recall": 0.875,
"eval_custom-arc-semantics-data-jp_max_accuracy": 0.6363636363636364,
"eval_custom-arc-semantics-data-jp_max_accuracy_threshold": 605.5822143554688,
"eval_custom-arc-semantics-data-jp_max_ap": 0.7237959956709956,
"eval_custom-arc-semantics-data-jp_max_f1": 0.7777777777777777,
"eval_custom-arc-semantics-data-jp_max_f1_threshold": 605.5822143554688,
"eval_custom-arc-semantics-data-jp_max_precision": 0.7,
"eval_custom-arc-semantics-data-jp_max_recall": 0.875,
"eval_loss": 0.304984450340271,
"eval_runtime": 7.2979,
"eval_samples_per_second": 1.507,
"eval_steps_per_second": 0.274,
"step": 18
},
{
"epoch": 4.0,
"grad_norm": 2.2900643348693848,
"learning_rate": 1.3333333333333333e-05,
"loss": 0.2177,
"step": 24
},
{
"epoch": 4.0,
"eval_custom-arc-semantics-data-jp_cosine_accuracy": 0.6363636363636364,
"eval_custom-arc-semantics-data-jp_cosine_accuracy_threshold": 0.3480110168457031,
"eval_custom-arc-semantics-data-jp_cosine_ap": 0.7237959956709956,
"eval_custom-arc-semantics-data-jp_cosine_f1": 0.7777777777777777,
"eval_custom-arc-semantics-data-jp_cosine_f1_threshold": 0.3480110168457031,
"eval_custom-arc-semantics-data-jp_cosine_precision": 0.7,
"eval_custom-arc-semantics-data-jp_cosine_recall": 0.875,
"eval_custom-arc-semantics-data-jp_dot_accuracy": 0.6363636363636364,
"eval_custom-arc-semantics-data-jp_dot_accuracy_threshold": 195.35403442382812,
"eval_custom-arc-semantics-data-jp_dot_ap": 0.7237959956709956,
"eval_custom-arc-semantics-data-jp_dot_f1": 0.7777777777777777,
"eval_custom-arc-semantics-data-jp_dot_f1_threshold": 195.35403442382812,
"eval_custom-arc-semantics-data-jp_dot_precision": 0.7,
"eval_custom-arc-semantics-data-jp_dot_recall": 0.875,
"eval_custom-arc-semantics-data-jp_euclidean_accuracy": 0.6363636363636364,
"eval_custom-arc-semantics-data-jp_euclidean_accuracy_threshold": 27.041318893432617,
"eval_custom-arc-semantics-data-jp_euclidean_ap": 0.682129329004329,
"eval_custom-arc-semantics-data-jp_euclidean_f1": 0.7777777777777777,
"eval_custom-arc-semantics-data-jp_euclidean_f1_threshold": 27.041318893432617,
"eval_custom-arc-semantics-data-jp_euclidean_precision": 0.7,
"eval_custom-arc-semantics-data-jp_euclidean_recall": 0.875,
"eval_custom-arc-semantics-data-jp_manhattan_accuracy": 0.6363636363636364,
"eval_custom-arc-semantics-data-jp_manhattan_accuracy_threshold": 593.150634765625,
"eval_custom-arc-semantics-data-jp_manhattan_ap": 0.682129329004329,
"eval_custom-arc-semantics-data-jp_manhattan_f1": 0.7777777777777777,
"eval_custom-arc-semantics-data-jp_manhattan_f1_threshold": 593.150634765625,
"eval_custom-arc-semantics-data-jp_manhattan_precision": 0.7,
"eval_custom-arc-semantics-data-jp_manhattan_recall": 0.875,
"eval_custom-arc-semantics-data-jp_max_accuracy": 0.6363636363636364,
"eval_custom-arc-semantics-data-jp_max_accuracy_threshold": 593.150634765625,
"eval_custom-arc-semantics-data-jp_max_ap": 0.7237959956709956,
"eval_custom-arc-semantics-data-jp_max_f1": 0.7777777777777777,
"eval_custom-arc-semantics-data-jp_max_f1_threshold": 593.150634765625,
"eval_custom-arc-semantics-data-jp_max_precision": 0.7,
"eval_custom-arc-semantics-data-jp_max_recall": 0.875,
"eval_loss": 0.29575565457344055,
"eval_runtime": 6.0903,
"eval_samples_per_second": 1.806,
"eval_steps_per_second": 0.328,
"step": 24
},
{
"epoch": 5.0,
"grad_norm": 1.5022671222686768,
"learning_rate": 1.6666666666666667e-05,
"loss": 0.1797,
"step": 30
},
{
"epoch": 5.0,
"eval_custom-arc-semantics-data-jp_cosine_accuracy": 0.6363636363636364,
"eval_custom-arc-semantics-data-jp_cosine_accuracy_threshold": 0.3965001106262207,
"eval_custom-arc-semantics-data-jp_cosine_ap": 0.682129329004329,
"eval_custom-arc-semantics-data-jp_cosine_f1": 0.7777777777777777,
"eval_custom-arc-semantics-data-jp_cosine_f1_threshold": 0.3965001106262207,
"eval_custom-arc-semantics-data-jp_cosine_precision": 0.7,
"eval_custom-arc-semantics-data-jp_cosine_recall": 0.875,
"eval_custom-arc-semantics-data-jp_dot_accuracy": 0.6363636363636364,
"eval_custom-arc-semantics-data-jp_dot_accuracy_threshold": 223.7809295654297,
"eval_custom-arc-semantics-data-jp_dot_ap": 0.6946293290043289,
"eval_custom-arc-semantics-data-jp_dot_f1": 0.7777777777777777,
"eval_custom-arc-semantics-data-jp_dot_f1_threshold": 223.7809295654297,
"eval_custom-arc-semantics-data-jp_dot_precision": 0.7,
"eval_custom-arc-semantics-data-jp_dot_recall": 0.875,
"eval_custom-arc-semantics-data-jp_euclidean_accuracy": 0.6363636363636364,
"eval_custom-arc-semantics-data-jp_euclidean_accuracy_threshold": 26.097108840942383,
"eval_custom-arc-semantics-data-jp_euclidean_ap": 0.682129329004329,
"eval_custom-arc-semantics-data-jp_euclidean_f1": 0.7777777777777777,
"eval_custom-arc-semantics-data-jp_euclidean_f1_threshold": 26.097108840942383,
"eval_custom-arc-semantics-data-jp_euclidean_precision": 0.7,
"eval_custom-arc-semantics-data-jp_euclidean_recall": 0.875,
"eval_custom-arc-semantics-data-jp_manhattan_accuracy": 0.6363636363636364,
"eval_custom-arc-semantics-data-jp_manhattan_accuracy_threshold": 570.329345703125,
"eval_custom-arc-semantics-data-jp_manhattan_ap": 0.682129329004329,
"eval_custom-arc-semantics-data-jp_manhattan_f1": 0.7777777777777777,
"eval_custom-arc-semantics-data-jp_manhattan_f1_threshold": 570.329345703125,
"eval_custom-arc-semantics-data-jp_manhattan_precision": 0.7,
"eval_custom-arc-semantics-data-jp_manhattan_recall": 0.875,
"eval_custom-arc-semantics-data-jp_max_accuracy": 0.6363636363636364,
"eval_custom-arc-semantics-data-jp_max_accuracy_threshold": 570.329345703125,
"eval_custom-arc-semantics-data-jp_max_ap": 0.6946293290043289,
"eval_custom-arc-semantics-data-jp_max_f1": 0.7777777777777777,
"eval_custom-arc-semantics-data-jp_max_f1_threshold": 570.329345703125,
"eval_custom-arc-semantics-data-jp_max_precision": 0.7,
"eval_custom-arc-semantics-data-jp_max_recall": 0.875,
"eval_loss": 0.28263404965400696,
"eval_runtime": 6.0031,
"eval_samples_per_second": 1.832,
"eval_steps_per_second": 0.333,
"step": 30
},
{
"epoch": 6.0,
"grad_norm": 0.6781304478645325,
"learning_rate": 2e-05,
"loss": 0.1419,
"step": 36
},
{
"epoch": 6.0,
"eval_custom-arc-semantics-data-jp_cosine_accuracy": 0.6363636363636364,
"eval_custom-arc-semantics-data-jp_cosine_accuracy_threshold": 0.43997177481651306,
"eval_custom-arc-semantics-data-jp_cosine_ap": 0.6321293290043289,
"eval_custom-arc-semantics-data-jp_cosine_f1": 0.7777777777777777,
"eval_custom-arc-semantics-data-jp_cosine_f1_threshold": 0.43997177481651306,
"eval_custom-arc-semantics-data-jp_cosine_precision": 0.7,
"eval_custom-arc-semantics-data-jp_cosine_recall": 0.875,
"eval_custom-arc-semantics-data-jp_dot_accuracy": 0.6363636363636364,
"eval_custom-arc-semantics-data-jp_dot_accuracy_threshold": 249.57528686523438,
"eval_custom-arc-semantics-data-jp_dot_ap": 0.650879329004329,
"eval_custom-arc-semantics-data-jp_dot_f1": 0.7777777777777777,
"eval_custom-arc-semantics-data-jp_dot_f1_threshold": 249.57528686523438,
"eval_custom-arc-semantics-data-jp_dot_precision": 0.7,
"eval_custom-arc-semantics-data-jp_dot_recall": 0.875,
"eval_custom-arc-semantics-data-jp_euclidean_accuracy": 0.6363636363636364,
"eval_custom-arc-semantics-data-jp_euclidean_accuracy_threshold": 25.200597763061523,
"eval_custom-arc-semantics-data-jp_euclidean_ap": 0.6321293290043289,
"eval_custom-arc-semantics-data-jp_euclidean_f1": 0.7777777777777777,
"eval_custom-arc-semantics-data-jp_euclidean_f1_threshold": 25.200597763061523,
"eval_custom-arc-semantics-data-jp_euclidean_precision": 0.7,
"eval_custom-arc-semantics-data-jp_euclidean_recall": 0.875,
"eval_custom-arc-semantics-data-jp_manhattan_accuracy": 0.6363636363636364,
"eval_custom-arc-semantics-data-jp_manhattan_accuracy_threshold": 550.5452880859375,
"eval_custom-arc-semantics-data-jp_manhattan_ap": 0.6321293290043289,
"eval_custom-arc-semantics-data-jp_manhattan_f1": 0.7777777777777777,
"eval_custom-arc-semantics-data-jp_manhattan_f1_threshold": 550.5452880859375,
"eval_custom-arc-semantics-data-jp_manhattan_precision": 0.7,
"eval_custom-arc-semantics-data-jp_manhattan_recall": 0.875,
"eval_custom-arc-semantics-data-jp_max_accuracy": 0.6363636363636364,
"eval_custom-arc-semantics-data-jp_max_accuracy_threshold": 550.5452880859375,
"eval_custom-arc-semantics-data-jp_max_ap": 0.650879329004329,
"eval_custom-arc-semantics-data-jp_max_f1": 0.7777777777777777,
"eval_custom-arc-semantics-data-jp_max_f1_threshold": 550.5452880859375,
"eval_custom-arc-semantics-data-jp_max_precision": 0.7,
"eval_custom-arc-semantics-data-jp_max_recall": 0.875,
"eval_loss": 0.276452898979187,
"eval_runtime": 5.4943,
"eval_samples_per_second": 2.002,
"eval_steps_per_second": 0.364,
"step": 36
},
{
"epoch": 7.0,
"grad_norm": 0.4487136900424957,
"learning_rate": 1.7777777777777777e-05,
"loss": 0.1057,
"step": 42
},
{
"epoch": 7.0,
"eval_custom-arc-semantics-data-jp_cosine_accuracy": 0.6363636363636364,
"eval_custom-arc-semantics-data-jp_cosine_accuracy_threshold": 0.37805190682411194,
"eval_custom-arc-semantics-data-jp_cosine_ap": 0.6321293290043289,
"eval_custom-arc-semantics-data-jp_cosine_f1": 0.7777777777777777,
"eval_custom-arc-semantics-data-jp_cosine_f1_threshold": 0.37805190682411194,
"eval_custom-arc-semantics-data-jp_cosine_precision": 0.7,
"eval_custom-arc-semantics-data-jp_cosine_recall": 0.875,
"eval_custom-arc-semantics-data-jp_dot_accuracy": 0.6363636363636364,
"eval_custom-arc-semantics-data-jp_dot_accuracy_threshold": 211.4693603515625,
"eval_custom-arc-semantics-data-jp_dot_ap": 0.650879329004329,
"eval_custom-arc-semantics-data-jp_dot_f1": 0.7777777777777777,
"eval_custom-arc-semantics-data-jp_dot_f1_threshold": 211.4693603515625,
"eval_custom-arc-semantics-data-jp_dot_precision": 0.7,
"eval_custom-arc-semantics-data-jp_dot_recall": 0.875,
"eval_custom-arc-semantics-data-jp_euclidean_accuracy": 0.6363636363636364,
"eval_custom-arc-semantics-data-jp_euclidean_accuracy_threshold": 26.396636962890625,
"eval_custom-arc-semantics-data-jp_euclidean_ap": 0.6321293290043289,
"eval_custom-arc-semantics-data-jp_euclidean_f1": 0.7777777777777777,
"eval_custom-arc-semantics-data-jp_euclidean_f1_threshold": 26.396636962890625,
"eval_custom-arc-semantics-data-jp_euclidean_precision": 0.7,
"eval_custom-arc-semantics-data-jp_euclidean_recall": 0.875,
"eval_custom-arc-semantics-data-jp_manhattan_accuracy": 0.6363636363636364,
"eval_custom-arc-semantics-data-jp_manhattan_accuracy_threshold": 582.5875244140625,
"eval_custom-arc-semantics-data-jp_manhattan_ap": 0.6321293290043289,
"eval_custom-arc-semantics-data-jp_manhattan_f1": 0.7777777777777777,
"eval_custom-arc-semantics-data-jp_manhattan_f1_threshold": 582.5875244140625,
"eval_custom-arc-semantics-data-jp_manhattan_precision": 0.7,
"eval_custom-arc-semantics-data-jp_manhattan_recall": 0.875,
"eval_custom-arc-semantics-data-jp_max_accuracy": 0.6363636363636364,
"eval_custom-arc-semantics-data-jp_max_accuracy_threshold": 582.5875244140625,
"eval_custom-arc-semantics-data-jp_max_ap": 0.650879329004329,
"eval_custom-arc-semantics-data-jp_max_f1": 0.7777777777777777,
"eval_custom-arc-semantics-data-jp_max_f1_threshold": 582.5875244140625,
"eval_custom-arc-semantics-data-jp_max_precision": 0.7,
"eval_custom-arc-semantics-data-jp_max_recall": 0.875,
"eval_loss": 0.295420378446579,
"eval_runtime": 6.1313,
"eval_samples_per_second": 1.794,
"eval_steps_per_second": 0.326,
"step": 42
},
{
"epoch": 8.0,
"grad_norm": 0.16805221140384674,
"learning_rate": 1.555555555555556e-05,
"loss": 0.0815,
"step": 48
},
{
"epoch": 8.0,
"eval_custom-arc-semantics-data-jp_cosine_accuracy": 0.6363636363636364,
"eval_custom-arc-semantics-data-jp_cosine_accuracy_threshold": 0.31827351450920105,
"eval_custom-arc-semantics-data-jp_cosine_ap": 0.6321293290043289,
"eval_custom-arc-semantics-data-jp_cosine_f1": 0.7777777777777777,
"eval_custom-arc-semantics-data-jp_cosine_f1_threshold": 0.31827351450920105,
"eval_custom-arc-semantics-data-jp_cosine_precision": 0.7,
"eval_custom-arc-semantics-data-jp_cosine_recall": 0.875,
"eval_custom-arc-semantics-data-jp_dot_accuracy": 0.6363636363636364,
"eval_custom-arc-semantics-data-jp_dot_accuracy_threshold": 178.09083557128906,
"eval_custom-arc-semantics-data-jp_dot_ap": 0.650879329004329,
"eval_custom-arc-semantics-data-jp_dot_f1": 0.7777777777777777,
"eval_custom-arc-semantics-data-jp_dot_f1_threshold": 178.09083557128906,
"eval_custom-arc-semantics-data-jp_dot_precision": 0.7,
"eval_custom-arc-semantics-data-jp_dot_recall": 0.875,
"eval_custom-arc-semantics-data-jp_euclidean_accuracy": 0.6363636363636364,
"eval_custom-arc-semantics-data-jp_euclidean_accuracy_threshold": 27.63851547241211,
"eval_custom-arc-semantics-data-jp_euclidean_ap": 0.6321293290043289,
"eval_custom-arc-semantics-data-jp_euclidean_f1": 0.7777777777777777,
"eval_custom-arc-semantics-data-jp_euclidean_f1_threshold": 27.63851547241211,
"eval_custom-arc-semantics-data-jp_euclidean_precision": 0.7,
"eval_custom-arc-semantics-data-jp_euclidean_recall": 0.875,
"eval_custom-arc-semantics-data-jp_manhattan_accuracy": 0.6363636363636364,
"eval_custom-arc-semantics-data-jp_manhattan_accuracy_threshold": 612.4237060546875,
"eval_custom-arc-semantics-data-jp_manhattan_ap": 0.6321293290043289,
"eval_custom-arc-semantics-data-jp_manhattan_f1": 0.7777777777777777,
"eval_custom-arc-semantics-data-jp_manhattan_f1_threshold": 612.4237060546875,
"eval_custom-arc-semantics-data-jp_manhattan_precision": 0.7,
"eval_custom-arc-semantics-data-jp_manhattan_recall": 0.875,
"eval_custom-arc-semantics-data-jp_max_accuracy": 0.6363636363636364,
"eval_custom-arc-semantics-data-jp_max_accuracy_threshold": 612.4237060546875,
"eval_custom-arc-semantics-data-jp_max_ap": 0.650879329004329,
"eval_custom-arc-semantics-data-jp_max_f1": 0.7777777777777777,
"eval_custom-arc-semantics-data-jp_max_f1_threshold": 612.4237060546875,
"eval_custom-arc-semantics-data-jp_max_precision": 0.7,
"eval_custom-arc-semantics-data-jp_max_recall": 0.875,
"eval_loss": 0.3164561986923218,
"eval_runtime": 6.5067,
"eval_samples_per_second": 1.691,
"eval_steps_per_second": 0.307,
"step": 48
},
{
"epoch": 9.0,
"grad_norm": 0.16789764165878296,
"learning_rate": 1.3333333333333333e-05,
"loss": 0.0664,
"step": 54
},
{
"epoch": 9.0,
"eval_custom-arc-semantics-data-jp_cosine_accuracy": 0.6363636363636364,
"eval_custom-arc-semantics-data-jp_cosine_accuracy_threshold": 0.30298155546188354,
"eval_custom-arc-semantics-data-jp_cosine_ap": 0.6321293290043289,
"eval_custom-arc-semantics-data-jp_cosine_f1": 0.7777777777777777,
"eval_custom-arc-semantics-data-jp_cosine_f1_threshold": 0.30298155546188354,
"eval_custom-arc-semantics-data-jp_cosine_precision": 0.7,
"eval_custom-arc-semantics-data-jp_cosine_recall": 0.875,
"eval_custom-arc-semantics-data-jp_dot_accuracy": 0.6363636363636364,
"eval_custom-arc-semantics-data-jp_dot_accuracy_threshold": 169.24606323242188,
"eval_custom-arc-semantics-data-jp_dot_ap": 0.650879329004329,
"eval_custom-arc-semantics-data-jp_dot_f1": 0.7777777777777777,
"eval_custom-arc-semantics-data-jp_dot_f1_threshold": 169.24606323242188,
"eval_custom-arc-semantics-data-jp_dot_precision": 0.7,
"eval_custom-arc-semantics-data-jp_dot_recall": 0.875,
"eval_custom-arc-semantics-data-jp_euclidean_accuracy": 0.6363636363636364,
"eval_custom-arc-semantics-data-jp_euclidean_accuracy_threshold": 27.91897964477539,
"eval_custom-arc-semantics-data-jp_euclidean_ap": 0.619629329004329,
"eval_custom-arc-semantics-data-jp_euclidean_f1": 0.7777777777777777,
"eval_custom-arc-semantics-data-jp_euclidean_f1_threshold": 27.91897964477539,
"eval_custom-arc-semantics-data-jp_euclidean_precision": 0.7,
"eval_custom-arc-semantics-data-jp_euclidean_recall": 0.875,
"eval_custom-arc-semantics-data-jp_manhattan_accuracy": 0.6363636363636364,
"eval_custom-arc-semantics-data-jp_manhattan_accuracy_threshold": 618.7899169921875,
"eval_custom-arc-semantics-data-jp_manhattan_ap": 0.619629329004329,
"eval_custom-arc-semantics-data-jp_manhattan_f1": 0.7777777777777777,
"eval_custom-arc-semantics-data-jp_manhattan_f1_threshold": 618.7899169921875,
"eval_custom-arc-semantics-data-jp_manhattan_precision": 0.7,
"eval_custom-arc-semantics-data-jp_manhattan_recall": 0.875,
"eval_custom-arc-semantics-data-jp_max_accuracy": 0.6363636363636364,
"eval_custom-arc-semantics-data-jp_max_accuracy_threshold": 618.7899169921875,
"eval_custom-arc-semantics-data-jp_max_ap": 0.650879329004329,
"eval_custom-arc-semantics-data-jp_max_f1": 0.7777777777777777,
"eval_custom-arc-semantics-data-jp_max_f1_threshold": 618.7899169921875,
"eval_custom-arc-semantics-data-jp_max_precision": 0.7,
"eval_custom-arc-semantics-data-jp_max_recall": 0.875,
"eval_loss": 0.31994009017944336,
"eval_runtime": 6.8319,
"eval_samples_per_second": 1.61,
"eval_steps_per_second": 0.293,
"step": 54
},
{
"epoch": 10.0,
"grad_norm": 0.1519097536802292,
"learning_rate": 1.1111111111111113e-05,
"loss": 0.0497,
"step": 60
},
{
"epoch": 10.0,
"eval_custom-arc-semantics-data-jp_cosine_accuracy": 0.6363636363636364,
"eval_custom-arc-semantics-data-jp_cosine_accuracy_threshold": 0.31682828068733215,
"eval_custom-arc-semantics-data-jp_cosine_ap": 0.6321293290043289,
"eval_custom-arc-semantics-data-jp_cosine_f1": 0.7777777777777777,
"eval_custom-arc-semantics-data-jp_cosine_f1_threshold": 0.31682828068733215,
"eval_custom-arc-semantics-data-jp_cosine_precision": 0.7,
"eval_custom-arc-semantics-data-jp_cosine_recall": 0.875,
"eval_custom-arc-semantics-data-jp_dot_accuracy": 0.6363636363636364,
"eval_custom-arc-semantics-data-jp_dot_accuracy_threshold": 176.45004272460938,
"eval_custom-arc-semantics-data-jp_dot_ap": 0.650879329004329,
"eval_custom-arc-semantics-data-jp_dot_f1": 0.7777777777777777,
"eval_custom-arc-semantics-data-jp_dot_f1_threshold": 176.45004272460938,
"eval_custom-arc-semantics-data-jp_dot_precision": 0.7,
"eval_custom-arc-semantics-data-jp_dot_recall": 0.875,
"eval_custom-arc-semantics-data-jp_euclidean_accuracy": 0.6363636363636364,
"eval_custom-arc-semantics-data-jp_euclidean_accuracy_threshold": 27.598316192626953,
"eval_custom-arc-semantics-data-jp_euclidean_ap": 0.619629329004329,
"eval_custom-arc-semantics-data-jp_euclidean_f1": 0.7777777777777777,
"eval_custom-arc-semantics-data-jp_euclidean_f1_threshold": 27.598316192626953,
"eval_custom-arc-semantics-data-jp_euclidean_precision": 0.7,
"eval_custom-arc-semantics-data-jp_euclidean_recall": 0.875,
"eval_custom-arc-semantics-data-jp_manhattan_accuracy": 0.6363636363636364,
"eval_custom-arc-semantics-data-jp_manhattan_accuracy_threshold": 611.2236328125,
"eval_custom-arc-semantics-data-jp_manhattan_ap": 0.619629329004329,
"eval_custom-arc-semantics-data-jp_manhattan_f1": 0.7777777777777777,
"eval_custom-arc-semantics-data-jp_manhattan_f1_threshold": 611.2236328125,
"eval_custom-arc-semantics-data-jp_manhattan_precision": 0.7,
"eval_custom-arc-semantics-data-jp_manhattan_recall": 0.875,
"eval_custom-arc-semantics-data-jp_max_accuracy": 0.6363636363636364,
"eval_custom-arc-semantics-data-jp_max_accuracy_threshold": 611.2236328125,
"eval_custom-arc-semantics-data-jp_max_ap": 0.650879329004329,
"eval_custom-arc-semantics-data-jp_max_f1": 0.7777777777777777,
"eval_custom-arc-semantics-data-jp_max_f1_threshold": 611.2236328125,
"eval_custom-arc-semantics-data-jp_max_precision": 0.7,
"eval_custom-arc-semantics-data-jp_max_recall": 0.875,
"eval_loss": 0.31398141384124756,
"eval_runtime": 6.4168,
"eval_samples_per_second": 1.714,
"eval_steps_per_second": 0.312,
"step": 60
},
{
"epoch": 11.0,
"grad_norm": 0.17287826538085938,
"learning_rate": 8.888888888888888e-06,
"loss": 0.0402,
"step": 66
},
{
"epoch": 11.0,
"eval_custom-arc-semantics-data-jp_cosine_accuracy": 0.6363636363636364,
"eval_custom-arc-semantics-data-jp_cosine_accuracy_threshold": 0.33553600311279297,
"eval_custom-arc-semantics-data-jp_cosine_ap": 0.619629329004329,
"eval_custom-arc-semantics-data-jp_cosine_f1": 0.7777777777777777,
"eval_custom-arc-semantics-data-jp_cosine_f1_threshold": 0.33553600311279297,
"eval_custom-arc-semantics-data-jp_cosine_precision": 0.7,
"eval_custom-arc-semantics-data-jp_cosine_recall": 0.875,
"eval_custom-arc-semantics-data-jp_dot_accuracy": 0.6363636363636364,
"eval_custom-arc-semantics-data-jp_dot_accuracy_threshold": 186.30569458007812,
"eval_custom-arc-semantics-data-jp_dot_ap": 0.6321293290043289,
"eval_custom-arc-semantics-data-jp_dot_f1": 0.7777777777777777,
"eval_custom-arc-semantics-data-jp_dot_f1_threshold": 186.30569458007812,
"eval_custom-arc-semantics-data-jp_dot_precision": 0.7,
"eval_custom-arc-semantics-data-jp_dot_recall": 0.875,
"eval_custom-arc-semantics-data-jp_euclidean_accuracy": 0.6363636363636364,
"eval_custom-arc-semantics-data-jp_euclidean_accuracy_threshold": 27.178071975708008,
"eval_custom-arc-semantics-data-jp_euclidean_ap": 0.619629329004329,
"eval_custom-arc-semantics-data-jp_euclidean_f1": 0.7777777777777777,
"eval_custom-arc-semantics-data-jp_euclidean_f1_threshold": 27.178071975708008,
"eval_custom-arc-semantics-data-jp_euclidean_precision": 0.7,
"eval_custom-arc-semantics-data-jp_euclidean_recall": 0.875,
"eval_custom-arc-semantics-data-jp_manhattan_accuracy": 0.6363636363636364,
"eval_custom-arc-semantics-data-jp_manhattan_accuracy_threshold": 601.0965576171875,
"eval_custom-arc-semantics-data-jp_manhattan_ap": 0.619629329004329,
"eval_custom-arc-semantics-data-jp_manhattan_f1": 0.7777777777777777,
"eval_custom-arc-semantics-data-jp_manhattan_f1_threshold": 601.0965576171875,
"eval_custom-arc-semantics-data-jp_manhattan_precision": 0.7,
"eval_custom-arc-semantics-data-jp_manhattan_recall": 0.875,
"eval_custom-arc-semantics-data-jp_max_accuracy": 0.6363636363636364,
"eval_custom-arc-semantics-data-jp_max_accuracy_threshold": 601.0965576171875,
"eval_custom-arc-semantics-data-jp_max_ap": 0.6321293290043289,
"eval_custom-arc-semantics-data-jp_max_f1": 0.7777777777777777,
"eval_custom-arc-semantics-data-jp_max_f1_threshold": 601.0965576171875,
"eval_custom-arc-semantics-data-jp_max_precision": 0.7,
"eval_custom-arc-semantics-data-jp_max_recall": 0.875,
"eval_loss": 0.3081442415714264,
"eval_runtime": 6.4435,
"eval_samples_per_second": 1.707,
"eval_steps_per_second": 0.31,
"step": 66
},
{
"epoch": 12.0,
"grad_norm": 0.1389617770910263,
"learning_rate": 6.666666666666667e-06,
"loss": 0.0346,
"step": 72
},
{
"epoch": 12.0,
"eval_custom-arc-semantics-data-jp_cosine_accuracy": 0.6363636363636364,
"eval_custom-arc-semantics-data-jp_cosine_accuracy_threshold": 0.3391532003879547,
"eval_custom-arc-semantics-data-jp_cosine_ap": 0.619629329004329,
"eval_custom-arc-semantics-data-jp_cosine_f1": 0.7777777777777777,
"eval_custom-arc-semantics-data-jp_cosine_f1_threshold": 0.3391532003879547,
"eval_custom-arc-semantics-data-jp_cosine_precision": 0.7,
"eval_custom-arc-semantics-data-jp_cosine_recall": 0.875,
"eval_custom-arc-semantics-data-jp_dot_accuracy": 0.6363636363636364,
"eval_custom-arc-semantics-data-jp_dot_accuracy_threshold": 187.9766082763672,
"eval_custom-arc-semantics-data-jp_dot_ap": 0.6946293290043289,
"eval_custom-arc-semantics-data-jp_dot_f1": 0.7777777777777777,
"eval_custom-arc-semantics-data-jp_dot_f1_threshold": 187.9766082763672,
"eval_custom-arc-semantics-data-jp_dot_precision": 0.7,
"eval_custom-arc-semantics-data-jp_dot_recall": 0.875,
"eval_custom-arc-semantics-data-jp_euclidean_accuracy": 0.6363636363636364,
"eval_custom-arc-semantics-data-jp_euclidean_accuracy_threshold": 27.080123901367188,
"eval_custom-arc-semantics-data-jp_euclidean_ap": 0.619629329004329,
"eval_custom-arc-semantics-data-jp_euclidean_f1": 0.7777777777777777,
"eval_custom-arc-semantics-data-jp_euclidean_f1_threshold": 27.080123901367188,
"eval_custom-arc-semantics-data-jp_euclidean_precision": 0.7,
"eval_custom-arc-semantics-data-jp_euclidean_recall": 0.875,
"eval_custom-arc-semantics-data-jp_manhattan_accuracy": 0.6363636363636364,
"eval_custom-arc-semantics-data-jp_manhattan_accuracy_threshold": 598.4072265625,
"eval_custom-arc-semantics-data-jp_manhattan_ap": 0.619629329004329,
"eval_custom-arc-semantics-data-jp_manhattan_f1": 0.7777777777777777,
"eval_custom-arc-semantics-data-jp_manhattan_f1_threshold": 598.4072265625,
"eval_custom-arc-semantics-data-jp_manhattan_precision": 0.7,
"eval_custom-arc-semantics-data-jp_manhattan_recall": 0.875,
"eval_custom-arc-semantics-data-jp_max_accuracy": 0.6363636363636364,
"eval_custom-arc-semantics-data-jp_max_accuracy_threshold": 598.4072265625,
"eval_custom-arc-semantics-data-jp_max_ap": 0.6946293290043289,
"eval_custom-arc-semantics-data-jp_max_f1": 0.7777777777777777,
"eval_custom-arc-semantics-data-jp_max_f1_threshold": 598.4072265625,
"eval_custom-arc-semantics-data-jp_max_precision": 0.7,
"eval_custom-arc-semantics-data-jp_max_recall": 0.875,
"eval_loss": 0.30722811818122864,
"eval_runtime": 6.555,
"eval_samples_per_second": 1.678,
"eval_steps_per_second": 0.305,
"step": 72
},
{
"epoch": 13.0,
"grad_norm": 0.10099858045578003,
"learning_rate": 4.444444444444444e-06,
"loss": 0.0293,
"step": 78
},
{
"epoch": 13.0,
"eval_custom-arc-semantics-data-jp_cosine_accuracy": 0.6363636363636364,
"eval_custom-arc-semantics-data-jp_cosine_accuracy_threshold": 0.34109100699424744,
"eval_custom-arc-semantics-data-jp_cosine_ap": 0.619629329004329,
"eval_custom-arc-semantics-data-jp_cosine_f1": 0.7777777777777777,
"eval_custom-arc-semantics-data-jp_cosine_f1_threshold": 0.34109100699424744,
"eval_custom-arc-semantics-data-jp_cosine_precision": 0.7,
"eval_custom-arc-semantics-data-jp_cosine_recall": 0.875,
"eval_custom-arc-semantics-data-jp_dot_accuracy": 0.6363636363636364,
"eval_custom-arc-semantics-data-jp_dot_accuracy_threshold": 189.05935668945312,
"eval_custom-arc-semantics-data-jp_dot_ap": 0.6946293290043289,
"eval_custom-arc-semantics-data-jp_dot_f1": 0.7777777777777777,
"eval_custom-arc-semantics-data-jp_dot_f1_threshold": 189.05935668945312,
"eval_custom-arc-semantics-data-jp_dot_precision": 0.7,
"eval_custom-arc-semantics-data-jp_dot_recall": 0.875,
"eval_custom-arc-semantics-data-jp_euclidean_accuracy": 0.6363636363636364,
"eval_custom-arc-semantics-data-jp_euclidean_accuracy_threshold": 27.041587829589844,
"eval_custom-arc-semantics-data-jp_euclidean_ap": 0.619629329004329,
"eval_custom-arc-semantics-data-jp_euclidean_f1": 0.7777777777777777,
"eval_custom-arc-semantics-data-jp_euclidean_f1_threshold": 27.041587829589844,
"eval_custom-arc-semantics-data-jp_euclidean_precision": 0.7,
"eval_custom-arc-semantics-data-jp_euclidean_recall": 0.875,
"eval_custom-arc-semantics-data-jp_manhattan_accuracy": 0.6363636363636364,
"eval_custom-arc-semantics-data-jp_manhattan_accuracy_threshold": 597.2989501953125,
"eval_custom-arc-semantics-data-jp_manhattan_ap": 0.619629329004329,
"eval_custom-arc-semantics-data-jp_manhattan_f1": 0.7777777777777777,
"eval_custom-arc-semantics-data-jp_manhattan_f1_threshold": 597.2989501953125,
"eval_custom-arc-semantics-data-jp_manhattan_precision": 0.7,
"eval_custom-arc-semantics-data-jp_manhattan_recall": 0.875,
"eval_custom-arc-semantics-data-jp_max_accuracy": 0.6363636363636364,
"eval_custom-arc-semantics-data-jp_max_accuracy_threshold": 597.2989501953125,
"eval_custom-arc-semantics-data-jp_max_ap": 0.6946293290043289,
"eval_custom-arc-semantics-data-jp_max_f1": 0.7777777777777777,
"eval_custom-arc-semantics-data-jp_max_f1_threshold": 597.2989501953125,
"eval_custom-arc-semantics-data-jp_max_precision": 0.7,
"eval_custom-arc-semantics-data-jp_max_recall": 0.875,
"eval_loss": 0.30660775303840637,
"eval_runtime": 5.9875,
"eval_samples_per_second": 1.837,
"eval_steps_per_second": 0.334,
"step": 78
},
{
"epoch": 14.0,
"grad_norm": 0.12931989133358002,
"learning_rate": 2.222222222222222e-06,
"loss": 0.0302,
"step": 84
},
{
"epoch": 14.0,
"eval_custom-arc-semantics-data-jp_cosine_accuracy": 0.6363636363636364,
"eval_custom-arc-semantics-data-jp_cosine_accuracy_threshold": 0.3385917544364929,
"eval_custom-arc-semantics-data-jp_cosine_ap": 0.619629329004329,
"eval_custom-arc-semantics-data-jp_cosine_f1": 0.7777777777777777,
"eval_custom-arc-semantics-data-jp_cosine_f1_threshold": 0.3385917544364929,
"eval_custom-arc-semantics-data-jp_cosine_precision": 0.7,
"eval_custom-arc-semantics-data-jp_cosine_recall": 0.875,
"eval_custom-arc-semantics-data-jp_dot_accuracy": 0.6363636363636364,
"eval_custom-arc-semantics-data-jp_dot_accuracy_threshold": 187.77444458007812,
"eval_custom-arc-semantics-data-jp_dot_ap": 0.6946293290043289,
"eval_custom-arc-semantics-data-jp_dot_f1": 0.7777777777777777,
"eval_custom-arc-semantics-data-jp_dot_f1_threshold": 187.77444458007812,
"eval_custom-arc-semantics-data-jp_dot_precision": 0.7,
"eval_custom-arc-semantics-data-jp_dot_recall": 0.875,
"eval_custom-arc-semantics-data-jp_euclidean_accuracy": 0.6363636363636364,
"eval_custom-arc-semantics-data-jp_euclidean_accuracy_threshold": 27.100971221923828,
"eval_custom-arc-semantics-data-jp_euclidean_ap": 0.619629329004329,
"eval_custom-arc-semantics-data-jp_euclidean_f1": 0.7777777777777777,
"eval_custom-arc-semantics-data-jp_euclidean_f1_threshold": 27.100971221923828,
"eval_custom-arc-semantics-data-jp_euclidean_precision": 0.7,
"eval_custom-arc-semantics-data-jp_euclidean_recall": 0.875,
"eval_custom-arc-semantics-data-jp_manhattan_accuracy": 0.6363636363636364,
"eval_custom-arc-semantics-data-jp_manhattan_accuracy_threshold": 598.5726318359375,
"eval_custom-arc-semantics-data-jp_manhattan_ap": 0.619629329004329,
"eval_custom-arc-semantics-data-jp_manhattan_f1": 0.7777777777777777,
"eval_custom-arc-semantics-data-jp_manhattan_f1_threshold": 598.5726318359375,
"eval_custom-arc-semantics-data-jp_manhattan_precision": 0.7,
"eval_custom-arc-semantics-data-jp_manhattan_recall": 0.875,
"eval_custom-arc-semantics-data-jp_max_accuracy": 0.6363636363636364,
"eval_custom-arc-semantics-data-jp_max_accuracy_threshold": 598.5726318359375,
"eval_custom-arc-semantics-data-jp_max_ap": 0.6946293290043289,
"eval_custom-arc-semantics-data-jp_max_f1": 0.7777777777777777,
"eval_custom-arc-semantics-data-jp_max_f1_threshold": 598.5726318359375,
"eval_custom-arc-semantics-data-jp_max_precision": 0.7,
"eval_custom-arc-semantics-data-jp_max_recall": 0.875,
"eval_loss": 0.30758312344551086,
"eval_runtime": 5.1895,
"eval_samples_per_second": 2.12,
"eval_steps_per_second": 0.385,
"step": 84
},
{
"epoch": 15.0,
"grad_norm": 0.16915012896060944,
"learning_rate": 0.0,
"loss": 0.0287,
"step": 90
},
{
"epoch": 15.0,
"eval_custom-arc-semantics-data-jp_cosine_accuracy": 0.6363636363636364,
"eval_custom-arc-semantics-data-jp_cosine_accuracy_threshold": 0.3379952907562256,
"eval_custom-arc-semantics-data-jp_cosine_ap": 0.619629329004329,
"eval_custom-arc-semantics-data-jp_cosine_f1": 0.7777777777777777,
"eval_custom-arc-semantics-data-jp_cosine_f1_threshold": 0.3379952907562256,
"eval_custom-arc-semantics-data-jp_cosine_precision": 0.7,
"eval_custom-arc-semantics-data-jp_cosine_recall": 0.875,
"eval_custom-arc-semantics-data-jp_dot_accuracy": 0.6363636363636364,
"eval_custom-arc-semantics-data-jp_dot_accuracy_threshold": 187.5118865966797,
"eval_custom-arc-semantics-data-jp_dot_ap": 0.6946293290043289,
"eval_custom-arc-semantics-data-jp_dot_f1": 0.7777777777777777,
"eval_custom-arc-semantics-data-jp_dot_f1_threshold": 187.5118865966797,
"eval_custom-arc-semantics-data-jp_dot_precision": 0.7,
"eval_custom-arc-semantics-data-jp_dot_recall": 0.875,
"eval_custom-arc-semantics-data-jp_euclidean_accuracy": 0.6363636363636364,
"eval_custom-arc-semantics-data-jp_euclidean_accuracy_threshold": 27.118305206298828,
"eval_custom-arc-semantics-data-jp_euclidean_ap": 0.619629329004329,
"eval_custom-arc-semantics-data-jp_euclidean_f1": 0.7777777777777777,
"eval_custom-arc-semantics-data-jp_euclidean_f1_threshold": 27.118305206298828,
"eval_custom-arc-semantics-data-jp_euclidean_precision": 0.7,
"eval_custom-arc-semantics-data-jp_euclidean_recall": 0.875,
"eval_custom-arc-semantics-data-jp_manhattan_accuracy": 0.6363636363636364,
"eval_custom-arc-semantics-data-jp_manhattan_accuracy_threshold": 598.9317626953125,
"eval_custom-arc-semantics-data-jp_manhattan_ap": 0.619629329004329,
"eval_custom-arc-semantics-data-jp_manhattan_f1": 0.7777777777777777,
"eval_custom-arc-semantics-data-jp_manhattan_f1_threshold": 598.9317626953125,
"eval_custom-arc-semantics-data-jp_manhattan_precision": 0.7,
"eval_custom-arc-semantics-data-jp_manhattan_recall": 0.875,
"eval_custom-arc-semantics-data-jp_max_accuracy": 0.6363636363636364,
"eval_custom-arc-semantics-data-jp_max_accuracy_threshold": 598.9317626953125,
"eval_custom-arc-semantics-data-jp_max_ap": 0.6946293290043289,
"eval_custom-arc-semantics-data-jp_max_f1": 0.7777777777777777,
"eval_custom-arc-semantics-data-jp_max_f1_threshold": 598.9317626953125,
"eval_custom-arc-semantics-data-jp_max_precision": 0.7,
"eval_custom-arc-semantics-data-jp_max_recall": 0.875,
"eval_loss": 0.3078480362892151,
"eval_runtime": 5.9867,
"eval_samples_per_second": 1.837,
"eval_steps_per_second": 0.334,
"step": 90
}
],
"logging_steps": 500,
"max_steps": 90,
"num_input_tokens_seen": 0,
"num_train_epochs": 15,
"save_steps": 100,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": true
},
"attributes": {}
}
},
"total_flos": 0.0,
"train_batch_size": 8,
"trial_name": null,
"trial_params": null
}