Training in progress, step 7000, checkpoint
Browse files
checkpoint-7000/model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 435544704
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:39784e53ed9fc74e2b8c86f37759cfb2748b97688e617b200da8cbbe2dbdfa41
|
| 3 |
size 435544704
|
checkpoint-7000/optimizer.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 871183627
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:19d8e7d518ec9d8f3edc9b557cb3e852a7209a763364df53c9e9b6242246ddf5
|
| 3 |
size 871183627
|
checkpoint-7000/rng_state.pth
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 14645
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9f0b13bd4d3240af64cec60ce95d82b7b39162526a526bbf0213d8285363b444
|
| 3 |
size 14645
|
checkpoint-7000/trainer_state.json
CHANGED
|
@@ -1,6 +1,6 @@
|
|
| 1 |
{
|
| 2 |
"best_global_step": 6783,
|
| 3 |
-
"best_metric": 4.
|
| 4 |
"best_model_checkpoint": null,
|
| 5 |
"epoch": 17.54385964912281,
|
| 6 |
"eval_steps": 500,
|
|
@@ -11,264 +11,264 @@
|
|
| 11 |
"log_history": [
|
| 12 |
{
|
| 13 |
"epoch": 0.002506265664160401,
|
| 14 |
-
"grad_norm": 15.
|
| 15 |
"learning_rate": 0.0,
|
| 16 |
-
"loss": 10.
|
| 17 |
"step": 1
|
| 18 |
},
|
| 19 |
{
|
| 20 |
"epoch": 1.0,
|
| 21 |
-
"grad_norm": 1.
|
| 22 |
"learning_rate": 7.960000000000001e-05,
|
| 23 |
-
"loss": 6.
|
| 24 |
"step": 399
|
| 25 |
},
|
| 26 |
{
|
| 27 |
"epoch": 1.0,
|
| 28 |
-
"eval_loss": 5.
|
| 29 |
-
"eval_runtime":
|
| 30 |
-
"eval_samples_per_second":
|
| 31 |
-
"eval_steps_per_second":
|
| 32 |
"step": 399
|
| 33 |
},
|
| 34 |
{
|
| 35 |
"epoch": 2.0,
|
| 36 |
-
"grad_norm": 1.
|
| 37 |
"learning_rate": 9.601876675603218e-05,
|
| 38 |
-
"loss": 5.
|
| 39 |
"step": 798
|
| 40 |
},
|
| 41 |
{
|
| 42 |
"epoch": 2.0,
|
| 43 |
-
"eval_loss": 5.
|
| 44 |
-
"eval_runtime":
|
| 45 |
-
"eval_samples_per_second":
|
| 46 |
-
"eval_steps_per_second":
|
| 47 |
"step": 798
|
| 48 |
},
|
| 49 |
{
|
| 50 |
"epoch": 3.0,
|
| 51 |
-
"grad_norm": 1.
|
| 52 |
"learning_rate": 9.067024128686328e-05,
|
| 53 |
-
"loss": 5.
|
| 54 |
"step": 1197
|
| 55 |
},
|
| 56 |
{
|
| 57 |
"epoch": 3.0,
|
| 58 |
-
"eval_loss": 5.
|
| 59 |
-
"eval_runtime":
|
| 60 |
-
"eval_samples_per_second":
|
| 61 |
-
"eval_steps_per_second":
|
| 62 |
"step": 1197
|
| 63 |
},
|
| 64 |
{
|
| 65 |
"epoch": 4.0,
|
| 66 |
-
"grad_norm": 1.
|
| 67 |
"learning_rate": 8.532171581769438e-05,
|
| 68 |
-
"loss": 4.
|
| 69 |
"step": 1596
|
| 70 |
},
|
| 71 |
{
|
| 72 |
"epoch": 4.0,
|
| 73 |
-
"eval_loss": 4.
|
| 74 |
-
"eval_runtime":
|
| 75 |
-
"eval_samples_per_second":
|
| 76 |
-
"eval_steps_per_second":
|
| 77 |
"step": 1596
|
| 78 |
},
|
| 79 |
{
|
| 80 |
"epoch": 5.0,
|
| 81 |
-
"grad_norm": 1.
|
| 82 |
"learning_rate": 7.997319034852548e-05,
|
| 83 |
-
"loss": 4.
|
| 84 |
"step": 1995
|
| 85 |
},
|
| 86 |
{
|
| 87 |
"epoch": 5.0,
|
| 88 |
-
"eval_loss": 4.
|
| 89 |
-
"eval_runtime":
|
| 90 |
-
"eval_samples_per_second":
|
| 91 |
-
"eval_steps_per_second":
|
| 92 |
"step": 1995
|
| 93 |
},
|
| 94 |
{
|
| 95 |
"epoch": 6.0,
|
| 96 |
-
"grad_norm": 1.
|
| 97 |
"learning_rate": 7.462466487935658e-05,
|
| 98 |
-
"loss": 4.
|
| 99 |
"step": 2394
|
| 100 |
},
|
| 101 |
{
|
| 102 |
"epoch": 6.0,
|
| 103 |
-
"eval_loss": 4.
|
| 104 |
-
"eval_runtime":
|
| 105 |
-
"eval_samples_per_second":
|
| 106 |
-
"eval_steps_per_second":
|
| 107 |
"step": 2394
|
| 108 |
},
|
| 109 |
{
|
| 110 |
"epoch": 7.0,
|
| 111 |
-
"grad_norm": 1.
|
| 112 |
"learning_rate": 6.927613941018766e-05,
|
| 113 |
-
"loss": 4.
|
| 114 |
"step": 2793
|
| 115 |
},
|
| 116 |
{
|
| 117 |
"epoch": 7.0,
|
| 118 |
-
"eval_loss": 4.
|
| 119 |
-
"eval_runtime":
|
| 120 |
-
"eval_samples_per_second":
|
| 121 |
-
"eval_steps_per_second":
|
| 122 |
"step": 2793
|
| 123 |
},
|
| 124 |
{
|
| 125 |
"epoch": 8.0,
|
| 126 |
-
"grad_norm": 1.
|
| 127 |
"learning_rate": 6.392761394101878e-05,
|
| 128 |
-
"loss": 4.
|
| 129 |
"step": 3192
|
| 130 |
},
|
| 131 |
{
|
| 132 |
"epoch": 8.0,
|
| 133 |
-
"eval_loss": 4.
|
| 134 |
-
"eval_runtime":
|
| 135 |
-
"eval_samples_per_second":
|
| 136 |
-
"eval_steps_per_second":
|
| 137 |
"step": 3192
|
| 138 |
},
|
| 139 |
{
|
| 140 |
"epoch": 9.0,
|
| 141 |
-
"grad_norm": 1.
|
| 142 |
"learning_rate": 5.8579088471849864e-05,
|
| 143 |
"loss": 4.2176,
|
| 144 |
"step": 3591
|
| 145 |
},
|
| 146 |
{
|
| 147 |
"epoch": 9.0,
|
| 148 |
-
"eval_loss": 4.
|
| 149 |
-
"eval_runtime":
|
| 150 |
-
"eval_samples_per_second":
|
| 151 |
-
"eval_steps_per_second":
|
| 152 |
"step": 3591
|
| 153 |
},
|
| 154 |
{
|
| 155 |
"epoch": 10.0,
|
| 156 |
-
"grad_norm": 1.
|
| 157 |
"learning_rate": 5.3230563002680965e-05,
|
| 158 |
-
"loss": 4.
|
| 159 |
"step": 3990
|
| 160 |
},
|
| 161 |
{
|
| 162 |
"epoch": 10.0,
|
| 163 |
-
"eval_loss": 4.
|
| 164 |
-
"eval_runtime":
|
| 165 |
-
"eval_samples_per_second":
|
| 166 |
-
"eval_steps_per_second":
|
| 167 |
"step": 3990
|
| 168 |
},
|
| 169 |
{
|
| 170 |
"epoch": 11.0,
|
| 171 |
-
"grad_norm": 1.
|
| 172 |
"learning_rate": 4.7882037533512065e-05,
|
| 173 |
-
"loss": 4.
|
| 174 |
"step": 4389
|
| 175 |
},
|
| 176 |
{
|
| 177 |
"epoch": 11.0,
|
| 178 |
-
"eval_loss": 4.
|
| 179 |
-
"eval_runtime":
|
| 180 |
-
"eval_samples_per_second":
|
| 181 |
-
"eval_steps_per_second":
|
| 182 |
"step": 4389
|
| 183 |
},
|
| 184 |
{
|
| 185 |
"epoch": 12.0,
|
| 186 |
-
"grad_norm": 1.
|
| 187 |
"learning_rate": 4.2533512064343165e-05,
|
| 188 |
-
"loss": 3.
|
| 189 |
"step": 4788
|
| 190 |
},
|
| 191 |
{
|
| 192 |
"epoch": 12.0,
|
| 193 |
-
"eval_loss": 4.
|
| 194 |
-
"eval_runtime":
|
| 195 |
-
"eval_samples_per_second":
|
| 196 |
-
"eval_steps_per_second":
|
| 197 |
"step": 4788
|
| 198 |
},
|
| 199 |
{
|
| 200 |
"epoch": 13.0,
|
| 201 |
-
"grad_norm": 1.
|
| 202 |
"learning_rate": 3.7184986595174266e-05,
|
| 203 |
-
"loss": 3.
|
| 204 |
"step": 5187
|
| 205 |
},
|
| 206 |
{
|
| 207 |
"epoch": 13.0,
|
| 208 |
-
"eval_loss": 4.
|
| 209 |
-
"eval_runtime":
|
| 210 |
-
"eval_samples_per_second":
|
| 211 |
-
"eval_steps_per_second":
|
| 212 |
"step": 5187
|
| 213 |
},
|
| 214 |
{
|
| 215 |
"epoch": 14.0,
|
| 216 |
-
"grad_norm": 1.
|
| 217 |
"learning_rate": 3.1836461126005366e-05,
|
| 218 |
-
"loss": 3.
|
| 219 |
"step": 5586
|
| 220 |
},
|
| 221 |
{
|
| 222 |
"epoch": 14.0,
|
| 223 |
-
"eval_loss": 4.
|
| 224 |
-
"eval_runtime":
|
| 225 |
-
"eval_samples_per_second":
|
| 226 |
-
"eval_steps_per_second":
|
| 227 |
"step": 5586
|
| 228 |
},
|
| 229 |
{
|
| 230 |
"epoch": 15.0,
|
| 231 |
-
"grad_norm": 1.
|
| 232 |
"learning_rate": 2.648793565683646e-05,
|
| 233 |
-
"loss": 3.
|
| 234 |
"step": 5985
|
| 235 |
},
|
| 236 |
{
|
| 237 |
"epoch": 15.0,
|
| 238 |
-
"eval_loss": 4.
|
| 239 |
-
"eval_runtime":
|
| 240 |
-
"eval_samples_per_second":
|
| 241 |
-
"eval_steps_per_second":
|
| 242 |
"step": 5985
|
| 243 |
},
|
| 244 |
{
|
| 245 |
"epoch": 16.0,
|
| 246 |
-
"grad_norm": 2.
|
| 247 |
"learning_rate": 2.113941018766756e-05,
|
| 248 |
-
"loss": 3.
|
| 249 |
"step": 6384
|
| 250 |
},
|
| 251 |
{
|
| 252 |
"epoch": 16.0,
|
| 253 |
-
"eval_loss": 4.
|
| 254 |
-
"eval_runtime":
|
| 255 |
-
"eval_samples_per_second":
|
| 256 |
-
"eval_steps_per_second":
|
| 257 |
"step": 6384
|
| 258 |
},
|
| 259 |
{
|
| 260 |
"epoch": 17.0,
|
| 261 |
-
"grad_norm": 2.
|
| 262 |
"learning_rate": 1.579088471849866e-05,
|
| 263 |
-
"loss": 3.
|
| 264 |
"step": 6783
|
| 265 |
},
|
| 266 |
{
|
| 267 |
"epoch": 17.0,
|
| 268 |
-
"eval_loss": 4.
|
| 269 |
-
"eval_runtime":
|
| 270 |
-
"eval_samples_per_second":
|
| 271 |
-
"eval_steps_per_second":
|
| 272 |
"step": 6783
|
| 273 |
}
|
| 274 |
],
|
|
|
|
| 1 |
{
|
| 2 |
"best_global_step": 6783,
|
| 3 |
+
"best_metric": 4.363214015960693,
|
| 4 |
"best_model_checkpoint": null,
|
| 5 |
"epoch": 17.54385964912281,
|
| 6 |
"eval_steps": 500,
|
|
|
|
| 11 |
"log_history": [
|
| 12 |
{
|
| 13 |
"epoch": 0.002506265664160401,
|
| 14 |
+
"grad_norm": 15.287896156311035,
|
| 15 |
"learning_rate": 0.0,
|
| 16 |
+
"loss": 10.3873,
|
| 17 |
"step": 1
|
| 18 |
},
|
| 19 |
{
|
| 20 |
"epoch": 1.0,
|
| 21 |
+
"grad_norm": 1.349755048751831,
|
| 22 |
"learning_rate": 7.960000000000001e-05,
|
| 23 |
+
"loss": 6.9819,
|
| 24 |
"step": 399
|
| 25 |
},
|
| 26 |
{
|
| 27 |
"epoch": 1.0,
|
| 28 |
+
"eval_loss": 5.9839253425598145,
|
| 29 |
+
"eval_runtime": 40.2685,
|
| 30 |
+
"eval_samples_per_second": 635.682,
|
| 31 |
+
"eval_steps_per_second": 2.483,
|
| 32 |
"step": 399
|
| 33 |
},
|
| 34 |
{
|
| 35 |
"epoch": 2.0,
|
| 36 |
+
"grad_norm": 1.2756340503692627,
|
| 37 |
"learning_rate": 9.601876675603218e-05,
|
| 38 |
+
"loss": 5.6158,
|
| 39 |
"step": 798
|
| 40 |
},
|
| 41 |
{
|
| 42 |
"epoch": 2.0,
|
| 43 |
+
"eval_loss": 5.355185031890869,
|
| 44 |
+
"eval_runtime": 40.338,
|
| 45 |
+
"eval_samples_per_second": 634.588,
|
| 46 |
+
"eval_steps_per_second": 2.479,
|
| 47 |
"step": 798
|
| 48 |
},
|
| 49 |
{
|
| 50 |
"epoch": 3.0,
|
| 51 |
+
"grad_norm": 1.1477612257003784,
|
| 52 |
"learning_rate": 9.067024128686328e-05,
|
| 53 |
+
"loss": 5.164,
|
| 54 |
"step": 1197
|
| 55 |
},
|
| 56 |
{
|
| 57 |
"epoch": 3.0,
|
| 58 |
+
"eval_loss": 5.061825275421143,
|
| 59 |
+
"eval_runtime": 40.9407,
|
| 60 |
+
"eval_samples_per_second": 625.245,
|
| 61 |
+
"eval_steps_per_second": 2.443,
|
| 62 |
"step": 1197
|
| 63 |
},
|
| 64 |
{
|
| 65 |
"epoch": 4.0,
|
| 66 |
+
"grad_norm": 1.1439207792282104,
|
| 67 |
"learning_rate": 8.532171581769438e-05,
|
| 68 |
+
"loss": 4.902,
|
| 69 |
"step": 1596
|
| 70 |
},
|
| 71 |
{
|
| 72 |
"epoch": 4.0,
|
| 73 |
+
"eval_loss": 4.870055675506592,
|
| 74 |
+
"eval_runtime": 40.5657,
|
| 75 |
+
"eval_samples_per_second": 631.026,
|
| 76 |
+
"eval_steps_per_second": 2.465,
|
| 77 |
"step": 1596
|
| 78 |
},
|
| 79 |
{
|
| 80 |
"epoch": 5.0,
|
| 81 |
+
"grad_norm": 1.2400050163269043,
|
| 82 |
"learning_rate": 7.997319034852548e-05,
|
| 83 |
+
"loss": 4.7103,
|
| 84 |
"step": 1995
|
| 85 |
},
|
| 86 |
{
|
| 87 |
"epoch": 5.0,
|
| 88 |
+
"eval_loss": 4.737980842590332,
|
| 89 |
+
"eval_runtime": 40.84,
|
| 90 |
+
"eval_samples_per_second": 626.787,
|
| 91 |
+
"eval_steps_per_second": 2.449,
|
| 92 |
"step": 1995
|
| 93 |
},
|
| 94 |
{
|
| 95 |
"epoch": 6.0,
|
| 96 |
+
"grad_norm": 1.3254481554031372,
|
| 97 |
"learning_rate": 7.462466487935658e-05,
|
| 98 |
+
"loss": 4.5566,
|
| 99 |
"step": 2394
|
| 100 |
},
|
| 101 |
{
|
| 102 |
"epoch": 6.0,
|
| 103 |
+
"eval_loss": 4.6372785568237305,
|
| 104 |
+
"eval_runtime": 40.6525,
|
| 105 |
+
"eval_samples_per_second": 629.678,
|
| 106 |
+
"eval_steps_per_second": 2.46,
|
| 107 |
"step": 2394
|
| 108 |
},
|
| 109 |
{
|
| 110 |
"epoch": 7.0,
|
| 111 |
+
"grad_norm": 1.3006181716918945,
|
| 112 |
"learning_rate": 6.927613941018766e-05,
|
| 113 |
+
"loss": 4.4277,
|
| 114 |
"step": 2793
|
| 115 |
},
|
| 116 |
{
|
| 117 |
"epoch": 7.0,
|
| 118 |
+
"eval_loss": 4.560876846313477,
|
| 119 |
+
"eval_runtime": 40.4604,
|
| 120 |
+
"eval_samples_per_second": 632.667,
|
| 121 |
+
"eval_steps_per_second": 2.472,
|
| 122 |
"step": 2793
|
| 123 |
},
|
| 124 |
{
|
| 125 |
"epoch": 8.0,
|
| 126 |
+
"grad_norm": 1.420179009437561,
|
| 127 |
"learning_rate": 6.392761394101878e-05,
|
| 128 |
+
"loss": 4.3162,
|
| 129 |
"step": 3192
|
| 130 |
},
|
| 131 |
{
|
| 132 |
"epoch": 8.0,
|
| 133 |
+
"eval_loss": 4.503915786743164,
|
| 134 |
+
"eval_runtime": 39.8308,
|
| 135 |
+
"eval_samples_per_second": 642.669,
|
| 136 |
+
"eval_steps_per_second": 2.511,
|
| 137 |
"step": 3192
|
| 138 |
},
|
| 139 |
{
|
| 140 |
"epoch": 9.0,
|
| 141 |
+
"grad_norm": 1.4465044736862183,
|
| 142 |
"learning_rate": 5.8579088471849864e-05,
|
| 143 |
"loss": 4.2176,
|
| 144 |
"step": 3591
|
| 145 |
},
|
| 146 |
{
|
| 147 |
"epoch": 9.0,
|
| 148 |
+
"eval_loss": 4.462299346923828,
|
| 149 |
+
"eval_runtime": 41.0625,
|
| 150 |
+
"eval_samples_per_second": 623.391,
|
| 151 |
+
"eval_steps_per_second": 2.435,
|
| 152 |
"step": 3591
|
| 153 |
},
|
| 154 |
{
|
| 155 |
"epoch": 10.0,
|
| 156 |
+
"grad_norm": 1.5573575496673584,
|
| 157 |
"learning_rate": 5.3230563002680965e-05,
|
| 158 |
+
"loss": 4.1306,
|
| 159 |
"step": 3990
|
| 160 |
},
|
| 161 |
{
|
| 162 |
"epoch": 10.0,
|
| 163 |
+
"eval_loss": 4.426837921142578,
|
| 164 |
+
"eval_runtime": 39.558,
|
| 165 |
+
"eval_samples_per_second": 647.1,
|
| 166 |
+
"eval_steps_per_second": 2.528,
|
| 167 |
"step": 3990
|
| 168 |
},
|
| 169 |
{
|
| 170 |
"epoch": 11.0,
|
| 171 |
+
"grad_norm": 1.59477961063385,
|
| 172 |
"learning_rate": 4.7882037533512065e-05,
|
| 173 |
+
"loss": 4.0536,
|
| 174 |
"step": 4389
|
| 175 |
},
|
| 176 |
{
|
| 177 |
"epoch": 11.0,
|
| 178 |
+
"eval_loss": 4.405690670013428,
|
| 179 |
+
"eval_runtime": 41.0885,
|
| 180 |
+
"eval_samples_per_second": 622.996,
|
| 181 |
+
"eval_steps_per_second": 2.434,
|
| 182 |
"step": 4389
|
| 183 |
},
|
| 184 |
{
|
| 185 |
"epoch": 12.0,
|
| 186 |
+
"grad_norm": 1.7376188039779663,
|
| 187 |
"learning_rate": 4.2533512064343165e-05,
|
| 188 |
+
"loss": 3.9853,
|
| 189 |
"step": 4788
|
| 190 |
},
|
| 191 |
{
|
| 192 |
"epoch": 12.0,
|
| 193 |
+
"eval_loss": 4.387991428375244,
|
| 194 |
+
"eval_runtime": 40.4482,
|
| 195 |
+
"eval_samples_per_second": 632.858,
|
| 196 |
+
"eval_steps_per_second": 2.472,
|
| 197 |
"step": 4788
|
| 198 |
},
|
| 199 |
{
|
| 200 |
"epoch": 13.0,
|
| 201 |
+
"grad_norm": 1.7787601947784424,
|
| 202 |
"learning_rate": 3.7184986595174266e-05,
|
| 203 |
+
"loss": 3.9239,
|
| 204 |
"step": 5187
|
| 205 |
},
|
| 206 |
{
|
| 207 |
"epoch": 13.0,
|
| 208 |
+
"eval_loss": 4.378556251525879,
|
| 209 |
+
"eval_runtime": 40.4484,
|
| 210 |
+
"eval_samples_per_second": 632.856,
|
| 211 |
+
"eval_steps_per_second": 2.472,
|
| 212 |
"step": 5187
|
| 213 |
},
|
| 214 |
{
|
| 215 |
"epoch": 14.0,
|
| 216 |
+
"grad_norm": 1.8353626728057861,
|
| 217 |
"learning_rate": 3.1836461126005366e-05,
|
| 218 |
+
"loss": 3.8689,
|
| 219 |
"step": 5586
|
| 220 |
},
|
| 221 |
{
|
| 222 |
"epoch": 14.0,
|
| 223 |
+
"eval_loss": 4.370186805725098,
|
| 224 |
+
"eval_runtime": 40.9985,
|
| 225 |
+
"eval_samples_per_second": 624.364,
|
| 226 |
+
"eval_steps_per_second": 2.439,
|
| 227 |
"step": 5586
|
| 228 |
},
|
| 229 |
{
|
| 230 |
"epoch": 15.0,
|
| 231 |
+
"grad_norm": 1.9268814325332642,
|
| 232 |
"learning_rate": 2.648793565683646e-05,
|
| 233 |
+
"loss": 3.8194,
|
| 234 |
"step": 5985
|
| 235 |
},
|
| 236 |
{
|
| 237 |
"epoch": 15.0,
|
| 238 |
+
"eval_loss": 4.3662943840026855,
|
| 239 |
+
"eval_runtime": 40.4988,
|
| 240 |
+
"eval_samples_per_second": 632.068,
|
| 241 |
+
"eval_steps_per_second": 2.469,
|
| 242 |
"step": 5985
|
| 243 |
},
|
| 244 |
{
|
| 245 |
"epoch": 16.0,
|
| 246 |
+
"grad_norm": 2.0129663944244385,
|
| 247 |
"learning_rate": 2.113941018766756e-05,
|
| 248 |
+
"loss": 3.7756,
|
| 249 |
"step": 6384
|
| 250 |
},
|
| 251 |
{
|
| 252 |
"epoch": 16.0,
|
| 253 |
+
"eval_loss": 4.36508846282959,
|
| 254 |
+
"eval_runtime": 40.6411,
|
| 255 |
+
"eval_samples_per_second": 629.855,
|
| 256 |
+
"eval_steps_per_second": 2.461,
|
| 257 |
"step": 6384
|
| 258 |
},
|
| 259 |
{
|
| 260 |
"epoch": 17.0,
|
| 261 |
+
"grad_norm": 2.0358240604400635,
|
| 262 |
"learning_rate": 1.579088471849866e-05,
|
| 263 |
+
"loss": 3.7371,
|
| 264 |
"step": 6783
|
| 265 |
},
|
| 266 |
{
|
| 267 |
"epoch": 17.0,
|
| 268 |
+
"eval_loss": 4.363214015960693,
|
| 269 |
+
"eval_runtime": 40.9391,
|
| 270 |
+
"eval_samples_per_second": 625.27,
|
| 271 |
+
"eval_steps_per_second": 2.443,
|
| 272 |
"step": 6783
|
| 273 |
}
|
| 274 |
],
|
checkpoint-7000/training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 5905
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c4d8e95126c79934c43d708d7208a8515199b20fd582881a681e358089ed0c56
|
| 3 |
size 5905
|