File size: 4,327 Bytes
82877b1 |
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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 |
{
"best_global_step": 500,
"best_metric": 0.0044,
"best_model_checkpoint": "./vit-codegpt-cadcoder/checkpoint-500",
"epoch": 2.820705882352941,
"eval_steps": 500,
"global_step": 1500,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.18823529411764706,
"grad_norm": 2.2795276641845703,
"learning_rate": 1.85625e-05,
"loss": 4.284,
"step": 100
},
{
"epoch": 0.3764705882352941,
"grad_norm": 2.0265636444091797,
"learning_rate": 2.918523676880223e-05,
"loss": 0.6672,
"step": 200
},
{
"epoch": 0.5647058823529412,
"grad_norm": 1.4436606168746948,
"learning_rate": 2.7096100278551535e-05,
"loss": 0.5342,
"step": 300
},
{
"epoch": 0.7529411764705882,
"grad_norm": 1.2276115417480469,
"learning_rate": 2.5006963788300836e-05,
"loss": 0.4912,
"step": 400
},
{
"epoch": 0.9411764705882353,
"grad_norm": 1.580186128616333,
"learning_rate": 2.2917827298050142e-05,
"loss": 0.4748,
"step": 500
},
{
"epoch": 0.9411764705882353,
"eval_loss": 0.41850993037223816,
"eval_rouge1": 0.085,
"eval_rouge2": 0.0044,
"eval_rougeL": 0.0773,
"eval_runtime": 4240.7834,
"eval_samples_per_second": 0.354,
"eval_steps_per_second": 0.088,
"step": 500
},
{
"epoch": 1.1280000000000001,
"grad_norm": 1.35711669921875,
"learning_rate": 2.0828690807799444e-05,
"loss": 0.4408,
"step": 600
},
{
"epoch": 1.316235294117647,
"grad_norm": 0.9837644696235657,
"learning_rate": 1.8739554317548746e-05,
"loss": 0.4193,
"step": 700
},
{
"epoch": 1.5044705882352942,
"grad_norm": 0.9567480087280273,
"learning_rate": 1.6650417827298047e-05,
"loss": 0.4028,
"step": 800
},
{
"epoch": 1.692705882352941,
"grad_norm": 0.9603307247161865,
"learning_rate": 1.4561281337047354e-05,
"loss": 0.4049,
"step": 900
},
{
"epoch": 1.8809411764705883,
"grad_norm": 1.3618443012237549,
"learning_rate": 1.2472144846796658e-05,
"loss": 0.4005,
"step": 1000
},
{
"epoch": 1.8809411764705883,
"eval_loss": 0.36618879437446594,
"eval_rouge1": 0.0946,
"eval_rouge2": 0.0041,
"eval_rougeL": 0.0861,
"eval_runtime": 4228.5695,
"eval_samples_per_second": 0.355,
"eval_steps_per_second": 0.089,
"step": 1000
},
{
"epoch": 2.067764705882353,
"grad_norm": 0.9115932583808899,
"learning_rate": 1.0383008356545962e-05,
"loss": 0.4064,
"step": 1100
},
{
"epoch": 2.2560000000000002,
"grad_norm": 1.121819019317627,
"learning_rate": 8.293871866295265e-06,
"loss": 0.3864,
"step": 1200
},
{
"epoch": 2.444235294117647,
"grad_norm": 1.1339781284332275,
"learning_rate": 6.204735376044569e-06,
"loss": 0.3595,
"step": 1300
},
{
"epoch": 2.632470588235294,
"grad_norm": 0.7861893177032471,
"learning_rate": 4.1155988857938724e-06,
"loss": 0.367,
"step": 1400
},
{
"epoch": 2.820705882352941,
"grad_norm": 0.9953855872154236,
"learning_rate": 2.026462395543175e-06,
"loss": 0.3571,
"step": 1500
},
{
"epoch": 2.820705882352941,
"eval_loss": 0.34929922223091125,
"eval_rouge1": 0.0944,
"eval_rouge2": 0.004,
"eval_rougeL": 0.0863,
"eval_runtime": 4261.9383,
"eval_samples_per_second": 0.352,
"eval_steps_per_second": 0.088,
"step": 1500
}
],
"logging_steps": 100,
"max_steps": 1596,
"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": false
},
"attributes": {}
}
},
"total_flos": 4.326802253496189e+18,
"train_batch_size": 4,
"trial_name": null,
"trial_params": null
}
|