File size: 5,784 Bytes
b96fc0f |
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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 |
{
"best_metric": 0.9746632456703015,
"best_model_checkpoint": "/data3/akoudounas/speech_unlearning/models/fsc/facebook/wav2vec2-base/4/_retain/checkpoint-2000",
"epoch": 2.869440459110473,
"eval_steps": 400,
"global_step": 2000,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.14347202295552366,
"grad_norm": 10.184388160705566,
"learning_rate": 5e-05,
"loss": 13.3354,
"step": 100
},
{
"epoch": 0.28694404591104733,
"grad_norm": 22.545684814453125,
"learning_rate": 0.0001,
"loss": 10.7429,
"step": 200
},
{
"epoch": 0.430416068866571,
"grad_norm": 56.65978240966797,
"learning_rate": 9.444444444444444e-05,
"loss": 6.6371,
"step": 300
},
{
"epoch": 0.5738880918220947,
"grad_norm": 58.855796813964844,
"learning_rate": 8.888888888888889e-05,
"loss": 4.8056,
"step": 400
},
{
"epoch": 0.5738880918220947,
"eval_accuracy": 0.6023091725465042,
"eval_f1_macro": 0.5295300525459568,
"eval_loss": 1.0795540809631348,
"eval_runtime": 13.9266,
"eval_samples_per_second": 223.887,
"eval_steps_per_second": 28.004,
"step": 400
},
{
"epoch": 0.7173601147776184,
"grad_norm": 19.51607322692871,
"learning_rate": 8.333333333333334e-05,
"loss": 3.8297,
"step": 500
},
{
"epoch": 0.860832137733142,
"grad_norm": 290.1480712890625,
"learning_rate": 7.777777777777778e-05,
"loss": 2.8656,
"step": 600
},
{
"epoch": 1.0043041606886658,
"grad_norm": 20.89418601989746,
"learning_rate": 7.222222222222222e-05,
"loss": 2.0125,
"step": 700
},
{
"epoch": 1.1477761836441893,
"grad_norm": 12.759949684143066,
"learning_rate": 6.666666666666667e-05,
"loss": 1.3945,
"step": 800
},
{
"epoch": 1.1477761836441893,
"eval_accuracy": 0.9207825529185375,
"eval_f1_macro": 0.9143966950672161,
"eval_loss": 0.3709124028682709,
"eval_runtime": 19.3466,
"eval_samples_per_second": 161.165,
"eval_steps_per_second": 20.159,
"step": 800
},
{
"epoch": 1.291248206599713,
"grad_norm": 4.4212541580200195,
"learning_rate": 6.111111111111112e-05,
"loss": 1.0552,
"step": 900
},
{
"epoch": 1.4347202295552366,
"grad_norm": 3.2309963703155518,
"learning_rate": 5.555555555555556e-05,
"loss": 0.9127,
"step": 1000
},
{
"epoch": 1.5781922525107603,
"grad_norm": 50.245872497558594,
"learning_rate": 5e-05,
"loss": 0.8042,
"step": 1100
},
{
"epoch": 1.721664275466284,
"grad_norm": 190.7835235595703,
"learning_rate": 4.4444444444444447e-05,
"loss": 0.6361,
"step": 1200
},
{
"epoch": 1.721664275466284,
"eval_accuracy": 0.9528543938422065,
"eval_f1_macro": 0.9475574056240644,
"eval_loss": 0.2340688854455948,
"eval_runtime": 13.9095,
"eval_samples_per_second": 224.163,
"eval_steps_per_second": 28.038,
"step": 1200
},
{
"epoch": 1.8651362984218078,
"grad_norm": 0.5275015234947205,
"learning_rate": 3.888888888888889e-05,
"loss": 0.6868,
"step": 1300
},
{
"epoch": 2.0086083213773316,
"grad_norm": 0.28355035185813904,
"learning_rate": 3.3333333333333335e-05,
"loss": 0.6716,
"step": 1400
},
{
"epoch": 2.152080344332855,
"grad_norm": 0.17906032502651215,
"learning_rate": 2.777777777777778e-05,
"loss": 0.4126,
"step": 1500
},
{
"epoch": 2.2955523672883786,
"grad_norm": 0.20960959792137146,
"learning_rate": 2.2222222222222223e-05,
"loss": 0.3714,
"step": 1600
},
{
"epoch": 2.2955523672883786,
"eval_accuracy": 0.967928159076331,
"eval_f1_macro": 0.9641675805500564,
"eval_loss": 0.16309456527233124,
"eval_runtime": 13.748,
"eval_samples_per_second": 226.797,
"eval_steps_per_second": 28.368,
"step": 1600
},
{
"epoch": 2.4390243902439024,
"grad_norm": 5.835017204284668,
"learning_rate": 1.6666666666666667e-05,
"loss": 0.4885,
"step": 1700
},
{
"epoch": 2.582496413199426,
"grad_norm": 0.15750645101070404,
"learning_rate": 1.1111111111111112e-05,
"loss": 0.3515,
"step": 1800
},
{
"epoch": 2.72596843615495,
"grad_norm": 29.3380126953125,
"learning_rate": 5.555555555555556e-06,
"loss": 0.3854,
"step": 1900
},
{
"epoch": 2.869440459110473,
"grad_norm": 12.397686004638672,
"learning_rate": 0.0,
"loss": 0.3996,
"step": 2000
},
{
"epoch": 2.869440459110473,
"eval_accuracy": 0.9746632456703015,
"eval_f1_macro": 0.9700002035002927,
"eval_loss": 0.13398364186286926,
"eval_runtime": 13.9617,
"eval_samples_per_second": 223.325,
"eval_steps_per_second": 27.933,
"step": 2000
}
],
"logging_steps": 100,
"max_steps": 2000,
"num_input_tokens_seen": 0,
"num_train_epochs": 3,
"save_steps": 2000,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": true
},
"attributes": {}
}
},
"total_flos": 2.324313120768e+18,
"train_batch_size": 8,
"trial_name": null,
"trial_params": null
}
|