med-alex's picture
End of training
1c92b20 verified
{
"best_metric": 69.86920835599972,
"best_model_checkpoint": "/root/turkic_qa/en_uzn_models/en_uzn_xlm_roberta_base_model/checkpoint-6900",
"epoch": 10.0,
"eval_steps": 500,
"global_step": 6900,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 1.0,
"step": 690,
"train_exact_match": 23.076923076923077,
"train_f1": 37.566079561862445,
"train_runtime": 14.0841,
"train_samples_per_second": 89.604,
"train_steps_per_second": 3.266
},
{
"epoch": 1.0,
"grad_norm": 116.39849853515625,
"learning_rate": 5e-06,
"loss": 4.5006,
"step": 690
},
{
"epoch": 1.0,
"eval_exact_match": 21.46875,
"eval_f1": 34.27477969652227,
"eval_runtime": 44.8553,
"eval_samples_per_second": 90.335,
"eval_steps_per_second": 3.233,
"step": 690
},
{
"epoch": 2.0,
"step": 1380,
"train_exact_match": 51.04895104895105,
"train_f1": 64.28880003049197,
"train_runtime": 14.6272,
"train_samples_per_second": 87.03,
"train_steps_per_second": 3.145
},
{
"epoch": 2.0,
"grad_norm": 242.94326782226562,
"learning_rate": 1e-05,
"loss": 2.1628,
"step": 1380
},
{
"epoch": 2.0,
"eval_exact_match": 45.46875,
"eval_f1": 60.28283429101314,
"eval_runtime": 46.3266,
"eval_samples_per_second": 87.466,
"eval_steps_per_second": 3.13,
"step": 1380
},
{
"epoch": 3.0,
"step": 2070,
"train_exact_match": 57.142857142857146,
"train_f1": 71.92623291529159,
"train_runtime": 14.5466,
"train_samples_per_second": 89.024,
"train_steps_per_second": 3.231
},
{
"epoch": 3.0,
"grad_norm": 18.747507095336914,
"learning_rate": 8.750000000000001e-06,
"loss": 1.4946,
"step": 2070
},
{
"epoch": 3.0,
"eval_exact_match": 52.40625,
"eval_f1": 67.09147147337285,
"eval_runtime": 45.3354,
"eval_samples_per_second": 89.378,
"eval_steps_per_second": 3.198,
"step": 2070
},
{
"epoch": 4.0,
"step": 2760,
"train_exact_match": 64.13586413586414,
"train_f1": 78.3731582090412,
"train_runtime": 14.5689,
"train_samples_per_second": 88.888,
"train_steps_per_second": 3.226
},
{
"epoch": 4.0,
"grad_norm": 269.3212890625,
"learning_rate": 7.500000000000001e-06,
"loss": 1.2186,
"step": 2760
},
{
"epoch": 4.0,
"eval_exact_match": 53.96875,
"eval_f1": 68.38825732557214,
"eval_runtime": 45.3562,
"eval_samples_per_second": 89.337,
"eval_steps_per_second": 3.197,
"step": 2760
},
{
"epoch": 5.0,
"step": 3450,
"train_exact_match": 68.33166833166833,
"train_f1": 82.36153774583077,
"train_runtime": 13.878,
"train_samples_per_second": 89.278,
"train_steps_per_second": 3.243
},
{
"epoch": 5.0,
"grad_norm": 259.8070068359375,
"learning_rate": 6.25e-06,
"loss": 1.0359,
"step": 3450
},
{
"epoch": 5.0,
"eval_exact_match": 54.96875,
"eval_f1": 69.02164576043303,
"eval_runtime": 45.1308,
"eval_samples_per_second": 89.783,
"eval_steps_per_second": 3.213,
"step": 3450
},
{
"epoch": 6.0,
"step": 4140,
"train_exact_match": 71.92807192807193,
"train_f1": 83.477467208777,
"train_runtime": 14.0926,
"train_samples_per_second": 89.55,
"train_steps_per_second": 3.264
},
{
"epoch": 6.0,
"grad_norm": 39.62363052368164,
"learning_rate": 5e-06,
"loss": 0.8945,
"step": 4140
},
{
"epoch": 6.0,
"eval_exact_match": 55.125,
"eval_f1": 69.56052410993578,
"eval_runtime": 44.9507,
"eval_samples_per_second": 90.143,
"eval_steps_per_second": 3.226,
"step": 4140
},
{
"epoch": 7.0,
"step": 4830,
"train_exact_match": 75.62437562437563,
"train_f1": 86.36686612245309,
"train_runtime": 14.0278,
"train_samples_per_second": 88.823,
"train_steps_per_second": 3.208
},
{
"epoch": 7.0,
"grad_norm": 122.51107788085938,
"learning_rate": 3.7500000000000005e-06,
"loss": 0.7916,
"step": 4830
},
{
"epoch": 7.0,
"eval_exact_match": 55.4375,
"eval_f1": 69.46738777882736,
"eval_runtime": 45.1053,
"eval_samples_per_second": 89.834,
"eval_steps_per_second": 3.215,
"step": 4830
},
{
"epoch": 8.0,
"step": 5520,
"train_exact_match": 75.92407592407592,
"train_f1": 86.72722282271204,
"train_runtime": 14.2506,
"train_samples_per_second": 89.75,
"train_steps_per_second": 3.228
},
{
"epoch": 8.0,
"grad_norm": 202.73541259765625,
"learning_rate": 2.5e-06,
"loss": 0.7119,
"step": 5520
},
{
"epoch": 8.0,
"eval_exact_match": 56.0,
"eval_f1": 69.69766614851221,
"eval_runtime": 45.2302,
"eval_samples_per_second": 89.586,
"eval_steps_per_second": 3.206,
"step": 5520
},
{
"epoch": 9.0,
"step": 6210,
"train_exact_match": 77.32267732267732,
"train_f1": 88.72058931170982,
"train_runtime": 14.7856,
"train_samples_per_second": 87.653,
"train_steps_per_second": 3.179
},
{
"epoch": 9.0,
"grad_norm": 5.172795295715332,
"learning_rate": 1.25e-06,
"loss": 0.6445,
"step": 6210
},
{
"epoch": 9.0,
"eval_exact_match": 55.90625,
"eval_f1": 69.57114295943043,
"eval_runtime": 45.9508,
"eval_samples_per_second": 88.181,
"eval_steps_per_second": 3.156,
"step": 6210
},
{
"epoch": 10.0,
"step": 6900,
"train_exact_match": 80.81918081918081,
"train_f1": 90.37663245353303,
"train_runtime": 14.2722,
"train_samples_per_second": 88.634,
"train_steps_per_second": 3.223
},
{
"epoch": 10.0,
"grad_norm": 6.113234996795654,
"learning_rate": 0.0,
"loss": 0.6132,
"step": 6900
},
{
"epoch": 10.0,
"eval_exact_match": 56.09375,
"eval_f1": 69.86920835599972,
"eval_runtime": 44.9954,
"eval_samples_per_second": 90.054,
"eval_steps_per_second": 3.223,
"step": 6900
},
{
"epoch": 10.0,
"step": 6900,
"total_flos": 3.780898745780736e+16,
"train_loss": 1.4068151059358016,
"train_runtime": 4389.3737,
"train_samples_per_second": 43.954,
"train_steps_per_second": 1.572
}
],
"logging_steps": 500,
"max_steps": 6900,
"num_input_tokens_seen": 0,
"num_train_epochs": 10,
"save_steps": 500,
"total_flos": 3.780898745780736e+16,
"train_batch_size": 28,
"trial_name": null,
"trial_params": null
}