File size: 7,195 Bytes
b0d3df2 |
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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 |
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 2.2720139494333043,
"eval_steps": 50,
"global_step": 650,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.17436791630340018,
"grad_norm": 0.31028223037719727,
"learning_rate": 0.0002,
"loss": 1.7522,
"mean_token_accuracy": 0.6208396552503109,
"step": 50
},
{
"epoch": 0.17436791630340018,
"eval_loss": 1.5662453174591064,
"eval_mean_token_accuracy": 0.6466238599197537,
"eval_runtime": 216.8159,
"eval_samples_per_second": 9.404,
"eval_steps_per_second": 1.176,
"step": 50
},
{
"epoch": 0.34873583260680036,
"grad_norm": 0.20454441010951996,
"learning_rate": 0.0002,
"loss": 1.4597,
"mean_token_accuracy": 0.6637434582412243,
"step": 100
},
{
"epoch": 0.34873583260680036,
"eval_loss": 1.4656527042388916,
"eval_mean_token_accuracy": 0.6612562953257093,
"eval_runtime": 219.0107,
"eval_samples_per_second": 9.31,
"eval_steps_per_second": 1.164,
"step": 100
},
{
"epoch": 0.5231037489102005,
"grad_norm": 0.13001485168933868,
"learning_rate": 0.0002,
"loss": 1.4281,
"mean_token_accuracy": 0.6697324779629708,
"step": 150
},
{
"epoch": 0.5231037489102005,
"eval_loss": 1.4386416673660278,
"eval_mean_token_accuracy": 0.6682294864280551,
"eval_runtime": 218.6278,
"eval_samples_per_second": 9.326,
"eval_steps_per_second": 1.166,
"step": 150
},
{
"epoch": 0.6974716652136007,
"grad_norm": 0.2524537146091461,
"learning_rate": 0.0002,
"loss": 1.4169,
"mean_token_accuracy": 0.6710615785419941,
"step": 200
},
{
"epoch": 0.6974716652136007,
"eval_loss": 1.4218348264694214,
"eval_mean_token_accuracy": 0.6715860612252179,
"eval_runtime": 215.794,
"eval_samples_per_second": 9.449,
"eval_steps_per_second": 1.182,
"step": 200
},
{
"epoch": 0.8718395815170009,
"grad_norm": 0.16508391499519348,
"learning_rate": 0.0002,
"loss": 1.398,
"mean_token_accuracy": 0.674775720089674,
"step": 250
},
{
"epoch": 0.8718395815170009,
"eval_loss": 1.4061472415924072,
"eval_mean_token_accuracy": 0.6714201174530329,
"eval_runtime": 217.972,
"eval_samples_per_second": 9.354,
"eval_steps_per_second": 1.17,
"step": 250
},
{
"epoch": 1.045335658238884,
"grad_norm": 0.06276454031467438,
"learning_rate": 0.0002,
"loss": 1.4208,
"mean_token_accuracy": 0.6656776975147688,
"step": 300
},
{
"epoch": 1.045335658238884,
"eval_loss": 1.3979426622390747,
"eval_mean_token_accuracy": 0.6722868853924321,
"eval_runtime": 221.6256,
"eval_samples_per_second": 9.2,
"eval_steps_per_second": 1.151,
"step": 300
},
{
"epoch": 1.2197035745422842,
"grad_norm": 0.0702725201845169,
"learning_rate": 0.0002,
"loss": 1.3814,
"mean_token_accuracy": 0.675048353523016,
"step": 350
},
{
"epoch": 1.2197035745422842,
"eval_loss": 1.3879132270812988,
"eval_mean_token_accuracy": 0.6748333828122008,
"eval_runtime": 211.3323,
"eval_samples_per_second": 9.648,
"eval_steps_per_second": 1.207,
"step": 350
},
{
"epoch": 1.3940714908456844,
"grad_norm": 0.07022608816623688,
"learning_rate": 0.0002,
"loss": 1.376,
"mean_token_accuracy": 0.6765765248239041,
"step": 400
},
{
"epoch": 1.3940714908456844,
"eval_loss": 1.3835749626159668,
"eval_mean_token_accuracy": 0.6750268143766066,
"eval_runtime": 211.0785,
"eval_samples_per_second": 9.66,
"eval_steps_per_second": 1.208,
"step": 400
},
{
"epoch": 1.5684394071490846,
"grad_norm": 0.07153413444757462,
"learning_rate": 0.0002,
"loss": 1.3735,
"mean_token_accuracy": 0.6764040923118592,
"step": 450
},
{
"epoch": 1.5684394071490846,
"eval_loss": 1.3785712718963623,
"eval_mean_token_accuracy": 0.6757427355822395,
"eval_runtime": 209.9753,
"eval_samples_per_second": 9.711,
"eval_steps_per_second": 1.214,
"step": 450
},
{
"epoch": 1.7462946817785527,
"grad_norm": 0.0622311495244503,
"learning_rate": 0.0002,
"loss": 1.3769,
"mean_token_accuracy": 0.6763439090549945,
"step": 500
},
{
"epoch": 1.7462946817785527,
"eval_loss": 1.3926106691360474,
"eval_mean_token_accuracy": 0.6742508411407471,
"eval_runtime": 211.3856,
"eval_samples_per_second": 9.646,
"eval_steps_per_second": 1.206,
"step": 500
},
{
"epoch": 1.920662598081953,
"grad_norm": 0.07205487042665482,
"learning_rate": 0.0002,
"loss": 1.3622,
"mean_token_accuracy": 0.6805365033447742,
"step": 550
},
{
"epoch": 1.920662598081953,
"eval_loss": 1.3798006772994995,
"eval_mean_token_accuracy": 0.6765407457071192,
"eval_runtime": 211.4314,
"eval_samples_per_second": 9.644,
"eval_steps_per_second": 1.206,
"step": 550
},
{
"epoch": 2.0976460331299043,
"grad_norm": 0.05617905408143997,
"learning_rate": 0.0002,
"loss": 1.3978,
"mean_token_accuracy": 0.6721828516774577,
"step": 600
},
{
"epoch": 2.0976460331299043,
"eval_loss": 1.376914620399475,
"eval_mean_token_accuracy": 0.6766514093268151,
"eval_runtime": 211.4284,
"eval_samples_per_second": 9.644,
"eval_steps_per_second": 1.206,
"step": 600
},
{
"epoch": 2.2720139494333043,
"grad_norm": 0.06081470474600792,
"learning_rate": 0.0002,
"loss": 1.3542,
"mean_token_accuracy": 0.6793570870161056,
"step": 650
},
{
"epoch": 2.2720139494333043,
"eval_loss": 1.3769170045852661,
"eval_mean_token_accuracy": 0.6753617045926112,
"eval_runtime": 211.9023,
"eval_samples_per_second": 9.622,
"eval_steps_per_second": 1.203,
"step": 650
}
],
"logging_steps": 50,
"max_steps": 858,
"num_input_tokens_seen": 0,
"num_train_epochs": 3,
"save_steps": 50,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": false
},
"attributes": {}
}
},
"total_flos": 9.39222778770899e+17,
"train_batch_size": 8,
"trial_name": null,
"trial_params": null
}
|