File size: 5,765 Bytes
607b6c8 |
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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 |
{
"best_global_step": null,
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 2.0,
"eval_steps": 1000,
"global_step": 11030,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.00018132366273798732,
"grad_norm": 7.9868855476379395,
"learning_rate": 0.0,
"loss": 3.5226,
"step": 1
},
{
"epoch": 0.1813236627379873,
"grad_norm": 6.11737060546875,
"learning_rate": 7.2443799854967376e-06,
"loss": 2.9981,
"step": 1000
},
{
"epoch": 0.1813236627379873,
"eval_cosine_accuracy": 0.9449994564056396,
"eval_loss": 0.5478581190109253,
"eval_runtime": 35.5173,
"eval_samples_per_second": 267.728,
"eval_steps_per_second": 2.112,
"step": 1000
},
{
"epoch": 0.3626473254759746,
"grad_norm": 6.732676029205322,
"learning_rate": 1.4496011602610589e-05,
"loss": 2.3032,
"step": 2000
},
{
"epoch": 0.3626473254759746,
"eval_cosine_accuracy": 0.9554106593132019,
"eval_loss": 0.4920719563961029,
"eval_runtime": 35.1849,
"eval_samples_per_second": 270.258,
"eval_steps_per_second": 2.132,
"step": 2000
},
{
"epoch": 0.543970988213962,
"grad_norm": 7.598336696624756,
"learning_rate": 1.980577829713503e-05,
"loss": 1.8788,
"step": 3000
},
{
"epoch": 0.543970988213962,
"eval_cosine_accuracy": 0.9590913653373718,
"eval_loss": 0.45673736929893494,
"eval_runtime": 35.2853,
"eval_samples_per_second": 269.489,
"eval_steps_per_second": 2.126,
"step": 3000
},
{
"epoch": 0.7252946509519492,
"grad_norm": 10.34838581085205,
"learning_rate": 1.8999879115122698e-05,
"loss": 1.2997,
"step": 4000
},
{
"epoch": 0.7252946509519492,
"eval_cosine_accuracy": 0.954990029335022,
"eval_loss": 0.45149004459381104,
"eval_runtime": 35.2489,
"eval_samples_per_second": 269.768,
"eval_steps_per_second": 2.128,
"step": 4000
},
{
"epoch": 0.9066183136899365,
"grad_norm": 8.401123046875,
"learning_rate": 1.8195591731474395e-05,
"loss": 0.9457,
"step": 5000
},
{
"epoch": 0.9066183136899365,
"eval_cosine_accuracy": 0.9530970454216003,
"eval_loss": 0.44349202513694763,
"eval_runtime": 35.1475,
"eval_samples_per_second": 270.546,
"eval_steps_per_second": 2.134,
"step": 5000
},
{
"epoch": 1.087941976427924,
"grad_norm": 5.8470964431762695,
"learning_rate": 1.7389692549462062e-05,
"loss": 1.2109,
"step": 6000
},
{
"epoch": 1.087941976427924,
"eval_cosine_accuracy": 0.9660322070121765,
"eval_loss": 0.41235095262527466,
"eval_runtime": 36.052,
"eval_samples_per_second": 263.758,
"eval_steps_per_second": 2.08,
"step": 6000
},
{
"epoch": 1.2692656391659112,
"grad_norm": 5.963912010192871,
"learning_rate": 1.6583793367449733e-05,
"loss": 1.4479,
"step": 7000
},
{
"epoch": 1.2692656391659112,
"eval_cosine_accuracy": 0.9669786691665649,
"eval_loss": 0.4111262857913971,
"eval_runtime": 35.6318,
"eval_samples_per_second": 266.868,
"eval_steps_per_second": 2.105,
"step": 7000
},
{
"epoch": 1.4505893019038985,
"grad_norm": 5.44882345199585,
"learning_rate": 1.5777894185437403e-05,
"loss": 1.3188,
"step": 8000
},
{
"epoch": 1.4505893019038985,
"eval_cosine_accuracy": 0.968766450881958,
"eval_loss": 0.41267701983451843,
"eval_runtime": 35.5881,
"eval_samples_per_second": 267.196,
"eval_steps_per_second": 2.107,
"step": 8000
},
{
"epoch": 1.6319129646418857,
"grad_norm": 6.824221611022949,
"learning_rate": 1.4972800902607086e-05,
"loss": 1.1122,
"step": 9000
},
{
"epoch": 1.6319129646418857,
"eval_cosine_accuracy": 0.9656115174293518,
"eval_loss": 0.4086419939994812,
"eval_runtime": 35.9831,
"eval_samples_per_second": 264.263,
"eval_steps_per_second": 2.084,
"step": 9000
},
{
"epoch": 1.8132366273798732,
"grad_norm": 8.42564868927002,
"learning_rate": 1.4166901720594754e-05,
"loss": 0.7841,
"step": 10000
},
{
"epoch": 1.8132366273798732,
"eval_cosine_accuracy": 0.9606688618659973,
"eval_loss": 0.4070773720741272,
"eval_runtime": 35.8917,
"eval_samples_per_second": 264.936,
"eval_steps_per_second": 2.09,
"step": 10000
},
{
"epoch": 1.9945602901178603,
"grad_norm": 9.001717567443848,
"learning_rate": 1.3361808437764437e-05,
"loss": 0.6116,
"step": 11000
},
{
"epoch": 1.9945602901178603,
"eval_cosine_accuracy": 0.957198441028595,
"eval_loss": 0.41639891266822815,
"eval_runtime": 35.808,
"eval_samples_per_second": 265.555,
"eval_steps_per_second": 2.095,
"step": 11000
}
],
"logging_steps": 1000,
"max_steps": 27575,
"num_input_tokens_seen": 0,
"num_train_epochs": 5,
"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": 0.0,
"train_batch_size": 128,
"trial_name": null,
"trial_params": null
}
|