File size: 4,004 Bytes
b55712d |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 |
{
"best_global_step": null,
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 2.9983086680761097,
"eval_steps": 1000,
"global_step": 7089,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.00042319085907744394,
"grad_norm": 8.33436107635498,
"learning_rate": 0.0,
"loss": 4.1437,
"step": 1
},
{
"epoch": 0.4231908590774439,
"grad_norm": 4.534207820892334,
"learning_rate": 2.8641065830721004e-05,
"loss": 3.6457,
"step": 1000
},
{
"epoch": 0.4231908590774439,
"eval_cosine_accuracy": 0.9362708926200867,
"eval_loss": 0.9829329252243042,
"eval_runtime": 62.6077,
"eval_samples_per_second": 151.882,
"eval_steps_per_second": 0.607,
"step": 1000
},
{
"epoch": 0.8463817181548878,
"grad_norm": 8.568726539611816,
"learning_rate": 2.393887147335423e-05,
"loss": 2.6898,
"step": 2000
},
{
"epoch": 0.8463817181548878,
"eval_cosine_accuracy": 0.9378483295440674,
"eval_loss": 0.9382773041725159,
"eval_runtime": 58.9559,
"eval_samples_per_second": 161.29,
"eval_steps_per_second": 0.645,
"step": 2000
},
{
"epoch": 1.2693446088794926,
"grad_norm": 10.338318824768066,
"learning_rate": 1.9241379310344826e-05,
"loss": 2.4448,
"step": 3000
},
{
"epoch": 1.2693446088794926,
"eval_cosine_accuracy": 0.9374276995658875,
"eval_loss": 0.980748176574707,
"eval_runtime": 61.8716,
"eval_samples_per_second": 153.689,
"eval_steps_per_second": 0.614,
"step": 3000
},
{
"epoch": 1.6921775898520086,
"grad_norm": 4.84547233581543,
"learning_rate": 1.4539184952978057e-05,
"loss": 2.6158,
"step": 4000
},
{
"epoch": 1.6921775898520086,
"eval_cosine_accuracy": 0.9422652125358582,
"eval_loss": 0.9552797675132751,
"eval_runtime": 60.3552,
"eval_samples_per_second": 157.551,
"eval_steps_per_second": 0.63,
"step": 4000
},
{
"epoch": 2.1150105708245244,
"grad_norm": 8.14175033569336,
"learning_rate": 9.836990595611285e-06,
"loss": 2.5157,
"step": 5000
},
{
"epoch": 2.1150105708245244,
"eval_cosine_accuracy": 0.9416342377662659,
"eval_loss": 0.9649843573570251,
"eval_runtime": 62.8479,
"eval_samples_per_second": 151.302,
"eval_steps_per_second": 0.605,
"step": 5000
},
{
"epoch": 2.53784355179704,
"grad_norm": 6.472080230712891,
"learning_rate": 5.13949843260188e-06,
"loss": 2.3962,
"step": 6000
},
{
"epoch": 2.53784355179704,
"eval_cosine_accuracy": 0.9438426494598389,
"eval_loss": 0.9474993944168091,
"eval_runtime": 60.8199,
"eval_samples_per_second": 156.347,
"eval_steps_per_second": 0.625,
"step": 6000
},
{
"epoch": 2.960676532769556,
"grad_norm": 8.412610054016113,
"learning_rate": 4.3730407523510976e-07,
"loss": 2.4768,
"step": 7000
},
{
"epoch": 2.960676532769556,
"eval_cosine_accuracy": 0.9443684816360474,
"eval_loss": 0.9480987191200256,
"eval_runtime": 61.6608,
"eval_samples_per_second": 154.215,
"eval_steps_per_second": 0.616,
"step": 7000
}
],
"logging_steps": 1000,
"max_steps": 7089,
"num_input_tokens_seen": 0,
"num_train_epochs": 3,
"save_steps": 500,
"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": 256,
"trial_name": null,
"trial_params": null
}
|