Ubuntu
commited on
Commit
·
1fda2ee
1
Parent(s):
680526d
update qqp
Browse files- all_results.json +11 -12
- eval_results.json +7 -7
- pytorch_model.bin +2 -2
- train_results.json +3 -4
- trainer_state.json +575 -120
- training_args.bin +2 -2
all_results.json
CHANGED
|
@@ -1,16 +1,15 @@
|
|
| 1 |
{
|
| 2 |
"epoch": 10.0,
|
| 3 |
-
"eval_accuracy": 0.
|
| 4 |
-
"eval_combined_score": 0.
|
| 5 |
-
"eval_f1": 0.
|
| 6 |
-
"eval_loss":
|
| 7 |
-
"eval_runtime":
|
| 8 |
"eval_samples": 40430,
|
| 9 |
-
"eval_samples_per_second":
|
| 10 |
-
"eval_steps_per_second":
|
| 11 |
-
"
|
| 12 |
-
"train_runtime": 15793.4855,
|
| 13 |
"train_samples": 363846,
|
| 14 |
-
"train_samples_per_second":
|
| 15 |
-
"train_steps_per_second":
|
| 16 |
-
}
|
|
|
|
| 1 |
{
|
| 2 |
"epoch": 10.0,
|
| 3 |
+
"eval_accuracy": 0.9279495424189957,
|
| 4 |
+
"eval_combined_score": 0.9155458435286998,
|
| 5 |
+
"eval_f1": 0.903142144638404,
|
| 6 |
+
"eval_loss": 0.546863317489624,
|
| 7 |
+
"eval_runtime": 230.8888,
|
| 8 |
"eval_samples": 40430,
|
| 9 |
+
"eval_samples_per_second": 175.106,
|
| 10 |
+
"eval_steps_per_second": 5.474,
|
| 11 |
+
"train_runtime": 69350.928,
|
|
|
|
| 12 |
"train_samples": 363846,
|
| 13 |
+
"train_samples_per_second": 52.464,
|
| 14 |
+
"train_steps_per_second": 0.82
|
| 15 |
+
}
|
eval_results.json
CHANGED
|
@@ -1,11 +1,11 @@
|
|
| 1 |
{
|
| 2 |
"epoch": 10.0,
|
| 3 |
-
"eval_accuracy": 0.
|
| 4 |
-
"eval_combined_score": 0.
|
| 5 |
-
"eval_f1": 0.
|
| 6 |
-
"eval_loss":
|
| 7 |
-
"eval_runtime":
|
| 8 |
"eval_samples": 40430,
|
| 9 |
-
"eval_samples_per_second":
|
| 10 |
-
"eval_steps_per_second":
|
| 11 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"epoch": 10.0,
|
| 3 |
+
"eval_accuracy": 0.9279495424189957,
|
| 4 |
+
"eval_combined_score": 0.9155458435286998,
|
| 5 |
+
"eval_f1": 0.903142144638404,
|
| 6 |
+
"eval_loss": 0.546863317489624,
|
| 7 |
+
"eval_runtime": 230.8888,
|
| 8 |
"eval_samples": 40430,
|
| 9 |
+
"eval_samples_per_second": 175.106,
|
| 10 |
+
"eval_steps_per_second": 5.474
|
| 11 |
}
|
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c9d16d2340b641366c4006a5c2d7277313853154b2c6c6ab0019a21b97fc1524
|
| 3 |
+
size 1340746075
|
train_results.json
CHANGED
|
@@ -1,8 +1,7 @@
|
|
| 1 |
{
|
| 2 |
"epoch": 10.0,
|
| 3 |
-
"
|
| 4 |
-
"train_runtime": 15793.4855,
|
| 5 |
"train_samples": 363846,
|
| 6 |
-
"train_samples_per_second":
|
| 7 |
-
"train_steps_per_second":
|
| 8 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"epoch": 10.0,
|
| 3 |
+
"train_runtime": 69350.928,
|
|
|
|
| 4 |
"train_samples": 363846,
|
| 5 |
+
"train_samples_per_second": 52.464,
|
| 6 |
+
"train_steps_per_second": 0.82
|
| 7 |
}
|
trainer_state.json
CHANGED
|
@@ -2,246 +2,701 @@
|
|
| 2 |
"best_metric": null,
|
| 3 |
"best_model_checkpoint": null,
|
| 4 |
"epoch": 10.0,
|
| 5 |
-
"global_step":
|
| 6 |
"is_hyper_param_search": false,
|
| 7 |
"is_local_process_zero": true,
|
| 8 |
"is_world_process_zero": true,
|
| 9 |
"log_history": [
|
| 10 |
{
|
| 11 |
-
"epoch": 0.
|
| 12 |
-
"learning_rate": 1.
|
| 13 |
-
"loss": 0.
|
| 14 |
"step": 500
|
| 15 |
},
|
| 16 |
{
|
| 17 |
-
"epoch": 0.
|
| 18 |
-
"learning_rate": 1.
|
| 19 |
-
"loss": 0.
|
| 20 |
"step": 1000
|
| 21 |
},
|
| 22 |
{
|
| 23 |
-
"epoch": 0.
|
| 24 |
-
"learning_rate": 1.
|
| 25 |
-
"loss": 0.
|
| 26 |
"step": 1500
|
| 27 |
},
|
| 28 |
{
|
| 29 |
-
"epoch":
|
| 30 |
-
"learning_rate": 1.
|
| 31 |
-
"loss": 0.
|
| 32 |
"step": 2000
|
| 33 |
},
|
| 34 |
{
|
| 35 |
-
"epoch":
|
| 36 |
-
"learning_rate": 1.
|
| 37 |
-
"loss": 0.
|
| 38 |
"step": 2500
|
| 39 |
},
|
| 40 |
{
|
| 41 |
-
"epoch":
|
| 42 |
-
"learning_rate": 1.
|
| 43 |
-
"loss": 0.
|
| 44 |
"step": 3000
|
| 45 |
},
|
| 46 |
{
|
| 47 |
-
"epoch":
|
| 48 |
-
"learning_rate": 1.
|
| 49 |
-
"loss": 0.
|
| 50 |
"step": 3500
|
| 51 |
},
|
| 52 |
{
|
| 53 |
-
"epoch":
|
| 54 |
-
"learning_rate": 1.
|
| 55 |
-
"loss": 0.
|
| 56 |
"step": 4000
|
| 57 |
},
|
| 58 |
{
|
| 59 |
-
"epoch":
|
| 60 |
-
"learning_rate": 1.
|
| 61 |
-
"loss": 0.
|
| 62 |
"step": 4500
|
| 63 |
},
|
| 64 |
{
|
| 65 |
-
"epoch":
|
| 66 |
-
"learning_rate": 1.
|
| 67 |
-
"loss": 0.
|
| 68 |
"step": 5000
|
| 69 |
},
|
| 70 |
{
|
| 71 |
-
"epoch":
|
| 72 |
-
"learning_rate": 1.
|
| 73 |
-
"loss": 0.
|
| 74 |
"step": 5500
|
| 75 |
},
|
| 76 |
{
|
| 77 |
-
"epoch":
|
| 78 |
-
"learning_rate": 1.
|
| 79 |
-
"loss": 0.
|
| 80 |
"step": 6000
|
| 81 |
},
|
| 82 |
{
|
| 83 |
-
"epoch":
|
| 84 |
-
"learning_rate": 1.
|
| 85 |
-
"loss": 0.
|
| 86 |
"step": 6500
|
| 87 |
},
|
| 88 |
{
|
| 89 |
-
"epoch":
|
| 90 |
-
"learning_rate": 1.
|
| 91 |
-
"loss": 0.
|
| 92 |
"step": 7000
|
| 93 |
},
|
| 94 |
{
|
| 95 |
-
"epoch":
|
| 96 |
-
"learning_rate": 1.
|
| 97 |
-
"loss": 0.
|
| 98 |
"step": 7500
|
| 99 |
},
|
| 100 |
{
|
| 101 |
-
"epoch":
|
| 102 |
-
"learning_rate": 1.
|
| 103 |
-
"loss": 0.
|
| 104 |
"step": 8000
|
| 105 |
},
|
| 106 |
{
|
| 107 |
-
"epoch":
|
| 108 |
-
"learning_rate": 1.
|
| 109 |
-
"loss": 0.
|
| 110 |
"step": 8500
|
| 111 |
},
|
| 112 |
{
|
| 113 |
-
"epoch":
|
| 114 |
-
"learning_rate": 1.
|
| 115 |
-
"loss": 0.
|
| 116 |
"step": 9000
|
| 117 |
},
|
| 118 |
{
|
| 119 |
-
"epoch":
|
| 120 |
-
"learning_rate":
|
| 121 |
-
"loss": 0.
|
| 122 |
"step": 9500
|
| 123 |
},
|
| 124 |
{
|
| 125 |
-
"epoch":
|
| 126 |
-
"learning_rate":
|
| 127 |
-
"loss": 0.
|
| 128 |
"step": 10000
|
| 129 |
},
|
| 130 |
{
|
| 131 |
-
"epoch":
|
| 132 |
-
"learning_rate":
|
| 133 |
-
"loss": 0.
|
| 134 |
"step": 10500
|
| 135 |
},
|
| 136 |
{
|
| 137 |
-
"epoch":
|
| 138 |
-
"learning_rate":
|
| 139 |
-
"loss": 0.
|
| 140 |
"step": 11000
|
| 141 |
},
|
| 142 |
{
|
| 143 |
-
"epoch":
|
| 144 |
-
"learning_rate":
|
| 145 |
-
"loss": 0.
|
| 146 |
"step": 11500
|
| 147 |
},
|
| 148 |
{
|
| 149 |
-
"epoch":
|
| 150 |
-
"learning_rate":
|
| 151 |
-
"loss": 0.
|
| 152 |
"step": 12000
|
| 153 |
},
|
| 154 |
{
|
| 155 |
-
"epoch":
|
| 156 |
-
"learning_rate":
|
| 157 |
-
"loss": 0.
|
| 158 |
"step": 12500
|
| 159 |
},
|
| 160 |
{
|
| 161 |
-
"epoch":
|
| 162 |
-
"learning_rate":
|
| 163 |
-
"loss": 0.
|
| 164 |
"step": 13000
|
| 165 |
},
|
| 166 |
{
|
| 167 |
-
"epoch":
|
| 168 |
-
"learning_rate":
|
| 169 |
-
"loss": 0.
|
| 170 |
"step": 13500
|
| 171 |
},
|
| 172 |
{
|
| 173 |
-
"epoch":
|
| 174 |
-
"learning_rate":
|
| 175 |
-
"loss": 0.
|
| 176 |
"step": 14000
|
| 177 |
},
|
| 178 |
{
|
| 179 |
-
"epoch":
|
| 180 |
-
"learning_rate":
|
| 181 |
-
"loss": 0.
|
| 182 |
"step": 14500
|
| 183 |
},
|
| 184 |
{
|
| 185 |
-
"epoch":
|
| 186 |
-
"learning_rate":
|
| 187 |
-
"loss": 0.
|
| 188 |
"step": 15000
|
| 189 |
},
|
| 190 |
{
|
| 191 |
-
"epoch":
|
| 192 |
-
"learning_rate":
|
| 193 |
-
"loss": 0.
|
| 194 |
"step": 15500
|
| 195 |
},
|
| 196 |
{
|
| 197 |
-
"epoch":
|
| 198 |
-
"learning_rate":
|
| 199 |
-
"loss": 0.
|
| 200 |
"step": 16000
|
| 201 |
},
|
| 202 |
{
|
| 203 |
-
"epoch":
|
| 204 |
-
"learning_rate":
|
| 205 |
-
"loss": 0.
|
| 206 |
"step": 16500
|
| 207 |
},
|
| 208 |
{
|
| 209 |
-
"epoch":
|
| 210 |
-
"learning_rate":
|
| 211 |
-
"loss": 0.
|
| 212 |
"step": 17000
|
| 213 |
},
|
| 214 |
{
|
| 215 |
-
"epoch":
|
| 216 |
-
"learning_rate": 1.
|
| 217 |
-
"loss": 0.
|
| 218 |
"step": 17500
|
| 219 |
},
|
| 220 |
{
|
| 221 |
-
"epoch":
|
| 222 |
-
"learning_rate": 1.
|
| 223 |
-
"loss": 0.
|
| 224 |
"step": 18000
|
| 225 |
},
|
| 226 |
{
|
| 227 |
-
"epoch":
|
| 228 |
-
"learning_rate":
|
| 229 |
-
"loss": 0.
|
| 230 |
"step": 18500
|
| 231 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 232 |
{
|
| 233 |
"epoch": 10.0,
|
| 234 |
-
"step":
|
| 235 |
-
"total_flos": 9.
|
| 236 |
-
"
|
| 237 |
-
"
|
| 238 |
-
"
|
| 239 |
-
"train_steps_per_second": 1.2
|
| 240 |
}
|
| 241 |
],
|
| 242 |
-
"max_steps":
|
| 243 |
"num_train_epochs": 10,
|
| 244 |
-
"total_flos": 9.
|
| 245 |
"trial_name": null,
|
| 246 |
"trial_params": null
|
| 247 |
}
|
|
|
|
| 2 |
"best_metric": null,
|
| 3 |
"best_model_checkpoint": null,
|
| 4 |
"epoch": 10.0,
|
| 5 |
+
"global_step": 56860,
|
| 6 |
"is_hyper_param_search": false,
|
| 7 |
"is_local_process_zero": true,
|
| 8 |
"is_world_process_zero": true,
|
| 9 |
"log_history": [
|
| 10 |
{
|
| 11 |
+
"epoch": 0.09,
|
| 12 |
+
"learning_rate": 1.9824129440731624e-05,
|
| 13 |
+
"loss": 0.5315,
|
| 14 |
"step": 500
|
| 15 |
},
|
| 16 |
{
|
| 17 |
+
"epoch": 0.18,
|
| 18 |
+
"learning_rate": 1.9648258881463246e-05,
|
| 19 |
+
"loss": 0.2968,
|
| 20 |
"step": 1000
|
| 21 |
},
|
| 22 |
{
|
| 23 |
+
"epoch": 0.26,
|
| 24 |
+
"learning_rate": 1.9472388322194867e-05,
|
| 25 |
+
"loss": 0.2756,
|
| 26 |
"step": 1500
|
| 27 |
},
|
| 28 |
{
|
| 29 |
+
"epoch": 0.35,
|
| 30 |
+
"learning_rate": 1.929651776292649e-05,
|
| 31 |
+
"loss": 0.2673,
|
| 32 |
"step": 2000
|
| 33 |
},
|
| 34 |
{
|
| 35 |
+
"epoch": 0.44,
|
| 36 |
+
"learning_rate": 1.9120647203658108e-05,
|
| 37 |
+
"loss": 0.2521,
|
| 38 |
"step": 2500
|
| 39 |
},
|
| 40 |
{
|
| 41 |
+
"epoch": 0.53,
|
| 42 |
+
"learning_rate": 1.894477664438973e-05,
|
| 43 |
+
"loss": 0.2405,
|
| 44 |
"step": 3000
|
| 45 |
},
|
| 46 |
{
|
| 47 |
+
"epoch": 0.62,
|
| 48 |
+
"learning_rate": 1.8768906085121352e-05,
|
| 49 |
+
"loss": 0.2264,
|
| 50 |
"step": 3500
|
| 51 |
},
|
| 52 |
{
|
| 53 |
+
"epoch": 0.7,
|
| 54 |
+
"learning_rate": 1.8593035525852974e-05,
|
| 55 |
+
"loss": 0.2264,
|
| 56 |
"step": 4000
|
| 57 |
},
|
| 58 |
{
|
| 59 |
+
"epoch": 0.79,
|
| 60 |
+
"learning_rate": 1.8417164966584596e-05,
|
| 61 |
+
"loss": 0.2231,
|
| 62 |
"step": 4500
|
| 63 |
},
|
| 64 |
{
|
| 65 |
+
"epoch": 0.88,
|
| 66 |
+
"learning_rate": 1.8241294407316218e-05,
|
| 67 |
+
"loss": 0.6134,
|
| 68 |
"step": 5000
|
| 69 |
},
|
| 70 |
{
|
| 71 |
+
"epoch": 0.97,
|
| 72 |
+
"learning_rate": 1.806542384804784e-05,
|
| 73 |
+
"loss": 0.6581,
|
| 74 |
"step": 5500
|
| 75 |
},
|
| 76 |
{
|
| 77 |
+
"epoch": 1.06,
|
| 78 |
+
"learning_rate": 1.788955328877946e-05,
|
| 79 |
+
"loss": 0.6592,
|
| 80 |
"step": 6000
|
| 81 |
},
|
| 82 |
{
|
| 83 |
+
"epoch": 1.14,
|
| 84 |
+
"learning_rate": 1.771368272951108e-05,
|
| 85 |
+
"loss": 0.6561,
|
| 86 |
"step": 6500
|
| 87 |
},
|
| 88 |
{
|
| 89 |
+
"epoch": 1.23,
|
| 90 |
+
"learning_rate": 1.7537812170242702e-05,
|
| 91 |
+
"loss": 0.6599,
|
| 92 |
"step": 7000
|
| 93 |
},
|
| 94 |
{
|
| 95 |
+
"epoch": 1.32,
|
| 96 |
+
"learning_rate": 1.7361941610974324e-05,
|
| 97 |
+
"loss": 0.6569,
|
| 98 |
"step": 7500
|
| 99 |
},
|
| 100 |
{
|
| 101 |
+
"epoch": 1.41,
|
| 102 |
+
"learning_rate": 1.7186071051705946e-05,
|
| 103 |
+
"loss": 0.6531,
|
| 104 |
"step": 8000
|
| 105 |
},
|
| 106 |
{
|
| 107 |
+
"epoch": 1.49,
|
| 108 |
+
"learning_rate": 1.7010200492437568e-05,
|
| 109 |
+
"loss": 0.2212,
|
| 110 |
"step": 8500
|
| 111 |
},
|
| 112 |
{
|
| 113 |
+
"epoch": 1.58,
|
| 114 |
+
"learning_rate": 1.683432993316919e-05,
|
| 115 |
+
"loss": 0.4708,
|
| 116 |
"step": 9000
|
| 117 |
},
|
| 118 |
{
|
| 119 |
+
"epoch": 1.67,
|
| 120 |
+
"learning_rate": 1.665845937390081e-05,
|
| 121 |
+
"loss": 0.2605,
|
| 122 |
"step": 9500
|
| 123 |
},
|
| 124 |
{
|
| 125 |
+
"epoch": 1.76,
|
| 126 |
+
"learning_rate": 1.6482588814632434e-05,
|
| 127 |
+
"loss": 0.1987,
|
| 128 |
"step": 10000
|
| 129 |
},
|
| 130 |
{
|
| 131 |
+
"epoch": 1.85,
|
| 132 |
+
"learning_rate": 1.6306718255364052e-05,
|
| 133 |
+
"loss": 0.1908,
|
| 134 |
"step": 10500
|
| 135 |
},
|
| 136 |
{
|
| 137 |
+
"epoch": 1.93,
|
| 138 |
+
"learning_rate": 1.6130847696095674e-05,
|
| 139 |
+
"loss": 0.185,
|
| 140 |
"step": 11000
|
| 141 |
},
|
| 142 |
{
|
| 143 |
+
"epoch": 2.02,
|
| 144 |
+
"learning_rate": 1.5954977136827296e-05,
|
| 145 |
+
"loss": 0.1767,
|
| 146 |
"step": 11500
|
| 147 |
},
|
| 148 |
{
|
| 149 |
+
"epoch": 2.11,
|
| 150 |
+
"learning_rate": 1.5779106577558918e-05,
|
| 151 |
+
"loss": 0.1551,
|
| 152 |
"step": 12000
|
| 153 |
},
|
| 154 |
{
|
| 155 |
+
"epoch": 2.2,
|
| 156 |
+
"learning_rate": 1.560323601829054e-05,
|
| 157 |
+
"loss": 0.1476,
|
| 158 |
"step": 12500
|
| 159 |
},
|
| 160 |
{
|
| 161 |
+
"epoch": 2.29,
|
| 162 |
+
"learning_rate": 1.5427365459022162e-05,
|
| 163 |
+
"loss": 0.1449,
|
| 164 |
"step": 13000
|
| 165 |
},
|
| 166 |
{
|
| 167 |
+
"epoch": 2.37,
|
| 168 |
+
"learning_rate": 1.5251494899753782e-05,
|
| 169 |
+
"loss": 0.1566,
|
| 170 |
"step": 13500
|
| 171 |
},
|
| 172 |
{
|
| 173 |
+
"epoch": 2.46,
|
| 174 |
+
"learning_rate": 1.5075624340485404e-05,
|
| 175 |
+
"loss": 0.1586,
|
| 176 |
"step": 14000
|
| 177 |
},
|
| 178 |
{
|
| 179 |
+
"epoch": 2.55,
|
| 180 |
+
"learning_rate": 1.4899753781217026e-05,
|
| 181 |
+
"loss": 0.1487,
|
| 182 |
"step": 14500
|
| 183 |
},
|
| 184 |
{
|
| 185 |
+
"epoch": 2.64,
|
| 186 |
+
"learning_rate": 1.4723883221948648e-05,
|
| 187 |
+
"loss": 0.1493,
|
| 188 |
"step": 15000
|
| 189 |
},
|
| 190 |
{
|
| 191 |
+
"epoch": 2.73,
|
| 192 |
+
"learning_rate": 1.4548012662680268e-05,
|
| 193 |
+
"loss": 0.1547,
|
| 194 |
"step": 15500
|
| 195 |
},
|
| 196 |
{
|
| 197 |
+
"epoch": 2.81,
|
| 198 |
+
"learning_rate": 1.437214210341189e-05,
|
| 199 |
+
"loss": 0.1528,
|
| 200 |
"step": 16000
|
| 201 |
},
|
| 202 |
{
|
| 203 |
+
"epoch": 2.9,
|
| 204 |
+
"learning_rate": 1.4196271544143512e-05,
|
| 205 |
+
"loss": 0.1447,
|
| 206 |
"step": 16500
|
| 207 |
},
|
| 208 |
{
|
| 209 |
+
"epoch": 2.99,
|
| 210 |
+
"learning_rate": 1.4020400984875134e-05,
|
| 211 |
+
"loss": 0.1562,
|
| 212 |
"step": 17000
|
| 213 |
},
|
| 214 |
{
|
| 215 |
+
"epoch": 3.08,
|
| 216 |
+
"learning_rate": 1.3844530425606754e-05,
|
| 217 |
+
"loss": 0.1022,
|
| 218 |
"step": 17500
|
| 219 |
},
|
| 220 |
{
|
| 221 |
+
"epoch": 3.17,
|
| 222 |
+
"learning_rate": 1.3668659866338376e-05,
|
| 223 |
+
"loss": 0.099,
|
| 224 |
"step": 18000
|
| 225 |
},
|
| 226 |
{
|
| 227 |
+
"epoch": 3.25,
|
| 228 |
+
"learning_rate": 1.3492789307069998e-05,
|
| 229 |
+
"loss": 0.0971,
|
| 230 |
"step": 18500
|
| 231 |
},
|
| 232 |
+
{
|
| 233 |
+
"epoch": 3.34,
|
| 234 |
+
"learning_rate": 1.331691874780162e-05,
|
| 235 |
+
"loss": 0.1046,
|
| 236 |
+
"step": 19000
|
| 237 |
+
},
|
| 238 |
+
{
|
| 239 |
+
"epoch": 3.43,
|
| 240 |
+
"learning_rate": 1.314104818853324e-05,
|
| 241 |
+
"loss": 0.1083,
|
| 242 |
+
"step": 19500
|
| 243 |
+
},
|
| 244 |
+
{
|
| 245 |
+
"epoch": 3.52,
|
| 246 |
+
"learning_rate": 1.2965177629264862e-05,
|
| 247 |
+
"loss": 0.0998,
|
| 248 |
+
"step": 20000
|
| 249 |
+
},
|
| 250 |
+
{
|
| 251 |
+
"epoch": 3.61,
|
| 252 |
+
"learning_rate": 1.2789307069996484e-05,
|
| 253 |
+
"loss": 0.1049,
|
| 254 |
+
"step": 20500
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 3.69,
|
| 258 |
+
"learning_rate": 1.2613436510728106e-05,
|
| 259 |
+
"loss": 0.1052,
|
| 260 |
+
"step": 21000
|
| 261 |
+
},
|
| 262 |
+
{
|
| 263 |
+
"epoch": 3.78,
|
| 264 |
+
"learning_rate": 1.2437565951459726e-05,
|
| 265 |
+
"loss": 0.108,
|
| 266 |
+
"step": 21500
|
| 267 |
+
},
|
| 268 |
+
{
|
| 269 |
+
"epoch": 3.87,
|
| 270 |
+
"learning_rate": 1.2261695392191348e-05,
|
| 271 |
+
"loss": 0.0991,
|
| 272 |
+
"step": 22000
|
| 273 |
+
},
|
| 274 |
+
{
|
| 275 |
+
"epoch": 3.96,
|
| 276 |
+
"learning_rate": 1.208582483292297e-05,
|
| 277 |
+
"loss": 0.1024,
|
| 278 |
+
"step": 22500
|
| 279 |
+
},
|
| 280 |
+
{
|
| 281 |
+
"epoch": 4.05,
|
| 282 |
+
"learning_rate": 1.1909954273654592e-05,
|
| 283 |
+
"loss": 0.0822,
|
| 284 |
+
"step": 23000
|
| 285 |
+
},
|
| 286 |
+
{
|
| 287 |
+
"epoch": 4.13,
|
| 288 |
+
"learning_rate": 1.1734083714386212e-05,
|
| 289 |
+
"loss": 0.069,
|
| 290 |
+
"step": 23500
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"epoch": 4.22,
|
| 294 |
+
"learning_rate": 1.1558213155117834e-05,
|
| 295 |
+
"loss": 0.0686,
|
| 296 |
+
"step": 24000
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 4.31,
|
| 300 |
+
"learning_rate": 1.1382342595849456e-05,
|
| 301 |
+
"loss": 0.0709,
|
| 302 |
+
"step": 24500
|
| 303 |
+
},
|
| 304 |
+
{
|
| 305 |
+
"epoch": 4.4,
|
| 306 |
+
"learning_rate": 1.1206472036581078e-05,
|
| 307 |
+
"loss": 0.0747,
|
| 308 |
+
"step": 25000
|
| 309 |
+
},
|
| 310 |
+
{
|
| 311 |
+
"epoch": 4.48,
|
| 312 |
+
"learning_rate": 1.1030601477312698e-05,
|
| 313 |
+
"loss": 0.0658,
|
| 314 |
+
"step": 25500
|
| 315 |
+
},
|
| 316 |
+
{
|
| 317 |
+
"epoch": 4.57,
|
| 318 |
+
"learning_rate": 1.085473091804432e-05,
|
| 319 |
+
"loss": 0.0732,
|
| 320 |
+
"step": 26000
|
| 321 |
+
},
|
| 322 |
+
{
|
| 323 |
+
"epoch": 4.66,
|
| 324 |
+
"learning_rate": 1.0678860358775942e-05,
|
| 325 |
+
"loss": 0.0715,
|
| 326 |
+
"step": 26500
|
| 327 |
+
},
|
| 328 |
+
{
|
| 329 |
+
"epoch": 4.75,
|
| 330 |
+
"learning_rate": 1.0502989799507564e-05,
|
| 331 |
+
"loss": 0.0778,
|
| 332 |
+
"step": 27000
|
| 333 |
+
},
|
| 334 |
+
{
|
| 335 |
+
"epoch": 4.84,
|
| 336 |
+
"learning_rate": 1.0327119240239184e-05,
|
| 337 |
+
"loss": 0.0724,
|
| 338 |
+
"step": 27500
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 4.92,
|
| 342 |
+
"learning_rate": 1.0151248680970806e-05,
|
| 343 |
+
"loss": 0.0722,
|
| 344 |
+
"step": 28000
|
| 345 |
+
},
|
| 346 |
+
{
|
| 347 |
+
"epoch": 5.01,
|
| 348 |
+
"learning_rate": 9.975378121702428e-06,
|
| 349 |
+
"loss": 0.0691,
|
| 350 |
+
"step": 28500
|
| 351 |
+
},
|
| 352 |
+
{
|
| 353 |
+
"epoch": 5.1,
|
| 354 |
+
"learning_rate": 9.79950756243405e-06,
|
| 355 |
+
"loss": 0.0485,
|
| 356 |
+
"step": 29000
|
| 357 |
+
},
|
| 358 |
+
{
|
| 359 |
+
"epoch": 5.19,
|
| 360 |
+
"learning_rate": 9.62363700316567e-06,
|
| 361 |
+
"loss": 0.0503,
|
| 362 |
+
"step": 29500
|
| 363 |
+
},
|
| 364 |
+
{
|
| 365 |
+
"epoch": 5.28,
|
| 366 |
+
"learning_rate": 9.447766443897292e-06,
|
| 367 |
+
"loss": 0.0536,
|
| 368 |
+
"step": 30000
|
| 369 |
+
},
|
| 370 |
+
{
|
| 371 |
+
"epoch": 5.36,
|
| 372 |
+
"learning_rate": 9.271895884628914e-06,
|
| 373 |
+
"loss": 0.0503,
|
| 374 |
+
"step": 30500
|
| 375 |
+
},
|
| 376 |
+
{
|
| 377 |
+
"epoch": 5.45,
|
| 378 |
+
"learning_rate": 9.096025325360536e-06,
|
| 379 |
+
"loss": 0.0452,
|
| 380 |
+
"step": 31000
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"epoch": 5.54,
|
| 384 |
+
"learning_rate": 8.920154766092157e-06,
|
| 385 |
+
"loss": 0.0473,
|
| 386 |
+
"step": 31500
|
| 387 |
+
},
|
| 388 |
+
{
|
| 389 |
+
"epoch": 5.63,
|
| 390 |
+
"learning_rate": 8.744284206823778e-06,
|
| 391 |
+
"loss": 0.0488,
|
| 392 |
+
"step": 32000
|
| 393 |
+
},
|
| 394 |
+
{
|
| 395 |
+
"epoch": 5.72,
|
| 396 |
+
"learning_rate": 8.5684136475554e-06,
|
| 397 |
+
"loss": 0.0507,
|
| 398 |
+
"step": 32500
|
| 399 |
+
},
|
| 400 |
+
{
|
| 401 |
+
"epoch": 5.8,
|
| 402 |
+
"learning_rate": 8.392543088287022e-06,
|
| 403 |
+
"loss": 0.0467,
|
| 404 |
+
"step": 33000
|
| 405 |
+
},
|
| 406 |
+
{
|
| 407 |
+
"epoch": 5.89,
|
| 408 |
+
"learning_rate": 8.216672529018643e-06,
|
| 409 |
+
"loss": 0.0556,
|
| 410 |
+
"step": 33500
|
| 411 |
+
},
|
| 412 |
+
{
|
| 413 |
+
"epoch": 5.98,
|
| 414 |
+
"learning_rate": 8.040801969750265e-06,
|
| 415 |
+
"loss": 0.0481,
|
| 416 |
+
"step": 34000
|
| 417 |
+
},
|
| 418 |
+
{
|
| 419 |
+
"epoch": 6.07,
|
| 420 |
+
"learning_rate": 7.864931410481886e-06,
|
| 421 |
+
"loss": 0.0367,
|
| 422 |
+
"step": 34500
|
| 423 |
+
},
|
| 424 |
+
{
|
| 425 |
+
"epoch": 6.16,
|
| 426 |
+
"learning_rate": 7.689060851213508e-06,
|
| 427 |
+
"loss": 0.0329,
|
| 428 |
+
"step": 35000
|
| 429 |
+
},
|
| 430 |
+
{
|
| 431 |
+
"epoch": 6.24,
|
| 432 |
+
"learning_rate": 7.5131902919451295e-06,
|
| 433 |
+
"loss": 0.0294,
|
| 434 |
+
"step": 35500
|
| 435 |
+
},
|
| 436 |
+
{
|
| 437 |
+
"epoch": 6.33,
|
| 438 |
+
"learning_rate": 7.3373197326767506e-06,
|
| 439 |
+
"loss": 0.032,
|
| 440 |
+
"step": 36000
|
| 441 |
+
},
|
| 442 |
+
{
|
| 443 |
+
"epoch": 6.42,
|
| 444 |
+
"learning_rate": 7.1614491734083725e-06,
|
| 445 |
+
"loss": 0.0331,
|
| 446 |
+
"step": 36500
|
| 447 |
+
},
|
| 448 |
+
{
|
| 449 |
+
"epoch": 6.51,
|
| 450 |
+
"learning_rate": 6.985578614139994e-06,
|
| 451 |
+
"loss": 0.0274,
|
| 452 |
+
"step": 37000
|
| 453 |
+
},
|
| 454 |
+
{
|
| 455 |
+
"epoch": 6.6,
|
| 456 |
+
"learning_rate": 6.8097080548716155e-06,
|
| 457 |
+
"loss": 0.0385,
|
| 458 |
+
"step": 37500
|
| 459 |
+
},
|
| 460 |
+
{
|
| 461 |
+
"epoch": 6.68,
|
| 462 |
+
"learning_rate": 6.633837495603237e-06,
|
| 463 |
+
"loss": 0.0367,
|
| 464 |
+
"step": 38000
|
| 465 |
+
},
|
| 466 |
+
{
|
| 467 |
+
"epoch": 6.77,
|
| 468 |
+
"learning_rate": 6.4579669363348586e-06,
|
| 469 |
+
"loss": 0.0447,
|
| 470 |
+
"step": 38500
|
| 471 |
+
},
|
| 472 |
+
{
|
| 473 |
+
"epoch": 6.86,
|
| 474 |
+
"learning_rate": 6.28209637706648e-06,
|
| 475 |
+
"loss": 0.0433,
|
| 476 |
+
"step": 39000
|
| 477 |
+
},
|
| 478 |
+
{
|
| 479 |
+
"epoch": 6.95,
|
| 480 |
+
"learning_rate": 6.106225817798102e-06,
|
| 481 |
+
"loss": 0.034,
|
| 482 |
+
"step": 39500
|
| 483 |
+
},
|
| 484 |
+
{
|
| 485 |
+
"epoch": 7.03,
|
| 486 |
+
"learning_rate": 5.930355258529723e-06,
|
| 487 |
+
"loss": 0.0311,
|
| 488 |
+
"step": 40000
|
| 489 |
+
},
|
| 490 |
+
{
|
| 491 |
+
"epoch": 7.12,
|
| 492 |
+
"learning_rate": 5.754484699261345e-06,
|
| 493 |
+
"loss": 0.0189,
|
| 494 |
+
"step": 40500
|
| 495 |
+
},
|
| 496 |
+
{
|
| 497 |
+
"epoch": 7.21,
|
| 498 |
+
"learning_rate": 5.578614139992966e-06,
|
| 499 |
+
"loss": 0.02,
|
| 500 |
+
"step": 41000
|
| 501 |
+
},
|
| 502 |
+
{
|
| 503 |
+
"epoch": 7.3,
|
| 504 |
+
"learning_rate": 5.402743580724588e-06,
|
| 505 |
+
"loss": 0.0218,
|
| 506 |
+
"step": 41500
|
| 507 |
+
},
|
| 508 |
+
{
|
| 509 |
+
"epoch": 7.39,
|
| 510 |
+
"learning_rate": 5.226873021456209e-06,
|
| 511 |
+
"loss": 0.0217,
|
| 512 |
+
"step": 42000
|
| 513 |
+
},
|
| 514 |
+
{
|
| 515 |
+
"epoch": 7.47,
|
| 516 |
+
"learning_rate": 5.051002462187831e-06,
|
| 517 |
+
"loss": 0.0282,
|
| 518 |
+
"step": 42500
|
| 519 |
+
},
|
| 520 |
+
{
|
| 521 |
+
"epoch": 7.56,
|
| 522 |
+
"learning_rate": 4.875131902919452e-06,
|
| 523 |
+
"loss": 0.0267,
|
| 524 |
+
"step": 43000
|
| 525 |
+
},
|
| 526 |
+
{
|
| 527 |
+
"epoch": 7.65,
|
| 528 |
+
"learning_rate": 4.699261343651073e-06,
|
| 529 |
+
"loss": 0.026,
|
| 530 |
+
"step": 43500
|
| 531 |
+
},
|
| 532 |
+
{
|
| 533 |
+
"epoch": 7.74,
|
| 534 |
+
"learning_rate": 4.523390784382695e-06,
|
| 535 |
+
"loss": 0.0217,
|
| 536 |
+
"step": 44000
|
| 537 |
+
},
|
| 538 |
+
{
|
| 539 |
+
"epoch": 7.83,
|
| 540 |
+
"learning_rate": 4.347520225114316e-06,
|
| 541 |
+
"loss": 0.0194,
|
| 542 |
+
"step": 44500
|
| 543 |
+
},
|
| 544 |
+
{
|
| 545 |
+
"epoch": 7.91,
|
| 546 |
+
"learning_rate": 4.171649665845938e-06,
|
| 547 |
+
"loss": 0.026,
|
| 548 |
+
"step": 45000
|
| 549 |
+
},
|
| 550 |
+
{
|
| 551 |
+
"epoch": 8.0,
|
| 552 |
+
"learning_rate": 3.995779106577559e-06,
|
| 553 |
+
"loss": 0.0274,
|
| 554 |
+
"step": 45500
|
| 555 |
+
},
|
| 556 |
+
{
|
| 557 |
+
"epoch": 8.09,
|
| 558 |
+
"learning_rate": 3.819908547309181e-06,
|
| 559 |
+
"loss": 0.0107,
|
| 560 |
+
"step": 46000
|
| 561 |
+
},
|
| 562 |
+
{
|
| 563 |
+
"epoch": 8.18,
|
| 564 |
+
"learning_rate": 3.6440379880408023e-06,
|
| 565 |
+
"loss": 0.0103,
|
| 566 |
+
"step": 46500
|
| 567 |
+
},
|
| 568 |
+
{
|
| 569 |
+
"epoch": 8.27,
|
| 570 |
+
"learning_rate": 3.468167428772424e-06,
|
| 571 |
+
"loss": 0.0172,
|
| 572 |
+
"step": 47000
|
| 573 |
+
},
|
| 574 |
+
{
|
| 575 |
+
"epoch": 8.35,
|
| 576 |
+
"learning_rate": 3.2922968695040454e-06,
|
| 577 |
+
"loss": 0.0129,
|
| 578 |
+
"step": 47500
|
| 579 |
+
},
|
| 580 |
+
{
|
| 581 |
+
"epoch": 8.44,
|
| 582 |
+
"learning_rate": 3.116426310235667e-06,
|
| 583 |
+
"loss": 0.017,
|
| 584 |
+
"step": 48000
|
| 585 |
+
},
|
| 586 |
+
{
|
| 587 |
+
"epoch": 8.53,
|
| 588 |
+
"learning_rate": 2.9405557509672884e-06,
|
| 589 |
+
"loss": 0.0204,
|
| 590 |
+
"step": 48500
|
| 591 |
+
},
|
| 592 |
+
{
|
| 593 |
+
"epoch": 8.62,
|
| 594 |
+
"learning_rate": 2.76468519169891e-06,
|
| 595 |
+
"loss": 0.0128,
|
| 596 |
+
"step": 49000
|
| 597 |
+
},
|
| 598 |
+
{
|
| 599 |
+
"epoch": 8.71,
|
| 600 |
+
"learning_rate": 2.5888146324305314e-06,
|
| 601 |
+
"loss": 0.0213,
|
| 602 |
+
"step": 49500
|
| 603 |
+
},
|
| 604 |
+
{
|
| 605 |
+
"epoch": 8.79,
|
| 606 |
+
"learning_rate": 2.412944073162153e-06,
|
| 607 |
+
"loss": 0.0125,
|
| 608 |
+
"step": 50000
|
| 609 |
+
},
|
| 610 |
+
{
|
| 611 |
+
"epoch": 8.88,
|
| 612 |
+
"learning_rate": 2.2370735138937744e-06,
|
| 613 |
+
"loss": 0.0128,
|
| 614 |
+
"step": 50500
|
| 615 |
+
},
|
| 616 |
+
{
|
| 617 |
+
"epoch": 8.97,
|
| 618 |
+
"learning_rate": 2.061202954625396e-06,
|
| 619 |
+
"loss": 0.0182,
|
| 620 |
+
"step": 51000
|
| 621 |
+
},
|
| 622 |
+
{
|
| 623 |
+
"epoch": 9.06,
|
| 624 |
+
"learning_rate": 1.8853323953570175e-06,
|
| 625 |
+
"loss": 0.0116,
|
| 626 |
+
"step": 51500
|
| 627 |
+
},
|
| 628 |
+
{
|
| 629 |
+
"epoch": 9.15,
|
| 630 |
+
"learning_rate": 1.709461836088639e-06,
|
| 631 |
+
"loss": 0.0081,
|
| 632 |
+
"step": 52000
|
| 633 |
+
},
|
| 634 |
+
{
|
| 635 |
+
"epoch": 9.23,
|
| 636 |
+
"learning_rate": 1.5335912768202605e-06,
|
| 637 |
+
"loss": 0.0084,
|
| 638 |
+
"step": 52500
|
| 639 |
+
},
|
| 640 |
+
{
|
| 641 |
+
"epoch": 9.32,
|
| 642 |
+
"learning_rate": 1.357720717551882e-06,
|
| 643 |
+
"loss": 0.0076,
|
| 644 |
+
"step": 53000
|
| 645 |
+
},
|
| 646 |
+
{
|
| 647 |
+
"epoch": 9.41,
|
| 648 |
+
"learning_rate": 1.1818501582835035e-06,
|
| 649 |
+
"loss": 0.0089,
|
| 650 |
+
"step": 53500
|
| 651 |
+
},
|
| 652 |
+
{
|
| 653 |
+
"epoch": 9.5,
|
| 654 |
+
"learning_rate": 1.005979599015125e-06,
|
| 655 |
+
"loss": 0.0067,
|
| 656 |
+
"step": 54000
|
| 657 |
+
},
|
| 658 |
+
{
|
| 659 |
+
"epoch": 9.58,
|
| 660 |
+
"learning_rate": 8.301090397467465e-07,
|
| 661 |
+
"loss": 0.0066,
|
| 662 |
+
"step": 54500
|
| 663 |
+
},
|
| 664 |
+
{
|
| 665 |
+
"epoch": 9.67,
|
| 666 |
+
"learning_rate": 6.542384804783681e-07,
|
| 667 |
+
"loss": 0.0097,
|
| 668 |
+
"step": 55000
|
| 669 |
+
},
|
| 670 |
+
{
|
| 671 |
+
"epoch": 9.76,
|
| 672 |
+
"learning_rate": 4.783679212099895e-07,
|
| 673 |
+
"loss": 0.0099,
|
| 674 |
+
"step": 55500
|
| 675 |
+
},
|
| 676 |
+
{
|
| 677 |
+
"epoch": 9.85,
|
| 678 |
+
"learning_rate": 3.02497361941611e-07,
|
| 679 |
+
"loss": 0.0059,
|
| 680 |
+
"step": 56000
|
| 681 |
+
},
|
| 682 |
+
{
|
| 683 |
+
"epoch": 9.94,
|
| 684 |
+
"learning_rate": 1.2662680267323252e-07,
|
| 685 |
+
"loss": 0.0075,
|
| 686 |
+
"step": 56500
|
| 687 |
+
},
|
| 688 |
{
|
| 689 |
"epoch": 10.0,
|
| 690 |
+
"step": 56860,
|
| 691 |
+
"total_flos": 9.365103496606515e+17,
|
| 692 |
+
"train_runtime": 69350.928,
|
| 693 |
+
"train_samples_per_second": 52.464,
|
| 694 |
+
"train_steps_per_second": 0.82
|
|
|
|
| 695 |
}
|
| 696 |
],
|
| 697 |
+
"max_steps": 56860,
|
| 698 |
"num_train_epochs": 10,
|
| 699 |
+
"total_flos": 9.365103496606515e+17,
|
| 700 |
"trial_name": null,
|
| 701 |
"trial_params": null
|
| 702 |
}
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f9d87cd302a512898ad841afeff88ff5fd45499496cd61e69b97162c6837f041
|
| 3 |
+
size 2415
|