Training in progress, step 400, checkpoint
Browse files
last-checkpoint/model-00001-of-00003.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 4939116424
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5cb968af799165acf1cfa9ded37b1ef66cc0c047f680efd9d3f9e0669cb5f0c1
|
| 3 |
size 4939116424
|
last-checkpoint/model-00002-of-00003.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 4947390880
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:52fe44bbdbc149f43a4a3f05f9cfada2db0985da8fa1554981ed6616e0a9c909
|
| 3 |
size 4947390880
|
last-checkpoint/model-00003-of-00003.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 3590619888
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5abe838d9f785fd0a874716143de87fdbdc4b78e71af4464450a4d88e1861857
|
| 3 |
size 3590619888
|
last-checkpoint/optimizer.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 13688025904
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2684d4a6449589eb2588954ce7795dbbb7a2529fddfe312248de6713f57bd5a6
|
| 3 |
size 13688025904
|
last-checkpoint/trainer_state.json
CHANGED
|
@@ -11,305 +11,305 @@
|
|
| 11 |
{
|
| 12 |
"epoch": 0.0001479946721918011,
|
| 13 |
"eval_loss": 2.158451557159424,
|
| 14 |
-
"eval_runtime":
|
| 15 |
-
"eval_samples_per_second":
|
| 16 |
-
"eval_steps_per_second":
|
| 17 |
"step": 1
|
| 18 |
},
|
| 19 |
{
|
| 20 |
"epoch": 0.001479946721918011,
|
| 21 |
-
"grad_norm":
|
| 22 |
"learning_rate": 1.6000000000000003e-05,
|
| 23 |
-
"loss": 1.
|
| 24 |
"step": 10
|
| 25 |
},
|
| 26 |
{
|
| 27 |
"epoch": 0.002959893443836022,
|
| 28 |
-
"grad_norm":
|
| 29 |
"learning_rate": 3.2000000000000005e-05,
|
| 30 |
-
"loss": 1.
|
| 31 |
"step": 20
|
| 32 |
},
|
| 33 |
{
|
| 34 |
"epoch": 0.0044398401657540325,
|
| 35 |
-
"grad_norm":
|
| 36 |
"learning_rate": 4.8e-05,
|
| 37 |
-
"loss": 1.
|
| 38 |
"step": 30
|
| 39 |
},
|
| 40 |
{
|
| 41 |
"epoch": 0.005919786887672044,
|
| 42 |
-
"grad_norm":
|
| 43 |
"learning_rate": 6.400000000000001e-05,
|
| 44 |
-
"loss": 1.
|
| 45 |
"step": 40
|
| 46 |
},
|
| 47 |
{
|
| 48 |
"epoch": 0.007399733609590055,
|
| 49 |
-
"grad_norm":
|
| 50 |
"learning_rate": 8e-05,
|
| 51 |
-
"loss": 1.
|
| 52 |
"step": 50
|
| 53 |
},
|
| 54 |
{
|
| 55 |
"epoch": 0.008879680331508065,
|
| 56 |
-
"grad_norm": 7.
|
| 57 |
"learning_rate": 9.6e-05,
|
| 58 |
-
"loss": 1.
|
| 59 |
"step": 60
|
| 60 |
},
|
| 61 |
{
|
| 62 |
"epoch": 0.010359627053426078,
|
| 63 |
-
"grad_norm":
|
| 64 |
"learning_rate": 0.00011200000000000001,
|
| 65 |
-
"loss": 2.
|
| 66 |
"step": 70
|
| 67 |
},
|
| 68 |
{
|
| 69 |
"epoch": 0.011839573775344088,
|
| 70 |
-
"grad_norm":
|
| 71 |
"learning_rate": 0.00012800000000000002,
|
| 72 |
-
"loss": 1.
|
| 73 |
"step": 80
|
| 74 |
},
|
| 75 |
{
|
| 76 |
"epoch": 0.0133195204972621,
|
| 77 |
-
"grad_norm":
|
| 78 |
"learning_rate": 0.000144,
|
| 79 |
-
"loss": 2.
|
| 80 |
"step": 90
|
| 81 |
},
|
| 82 |
{
|
| 83 |
"epoch": 0.01479946721918011,
|
| 84 |
-
"grad_norm":
|
| 85 |
"learning_rate": 0.00016,
|
| 86 |
-
"loss": 2.
|
| 87 |
"step": 100
|
| 88 |
},
|
| 89 |
{
|
| 90 |
"epoch": 0.01627941394109812,
|
| 91 |
-
"grad_norm":
|
| 92 |
"learning_rate": 0.00017600000000000002,
|
| 93 |
-
"loss": 2.
|
| 94 |
"step": 110
|
| 95 |
},
|
| 96 |
{
|
| 97 |
"epoch": 0.01775936066301613,
|
| 98 |
-
"grad_norm":
|
| 99 |
"learning_rate": 0.000192,
|
| 100 |
-
"loss": 2.
|
| 101 |
"step": 120
|
| 102 |
},
|
| 103 |
{
|
| 104 |
"epoch": 0.01923930738493414,
|
| 105 |
-
"grad_norm":
|
| 106 |
"learning_rate": 0.0001999978128380225,
|
| 107 |
-
"loss": 2.
|
| 108 |
"step": 130
|
| 109 |
},
|
| 110 |
{
|
| 111 |
"epoch": 0.020719254106852155,
|
| 112 |
-
"grad_norm": 27.
|
| 113 |
"learning_rate": 0.0001999803161162393,
|
| 114 |
-
"loss": 2.
|
| 115 |
"step": 140
|
| 116 |
},
|
| 117 |
{
|
| 118 |
"epoch": 0.022199200828770166,
|
| 119 |
"grad_norm": 80.0,
|
| 120 |
"learning_rate": 0.00019994532573409262,
|
| 121 |
-
"loss": 3.
|
| 122 |
"step": 150
|
| 123 |
},
|
| 124 |
{
|
| 125 |
"epoch": 0.023679147550688177,
|
| 126 |
-
"grad_norm":
|
| 127 |
"learning_rate": 0.00019989284781388617,
|
| 128 |
-
"loss": 3.
|
| 129 |
"step": 160
|
| 130 |
},
|
| 131 |
{
|
| 132 |
"epoch": 0.025159094272606188,
|
| 133 |
-
"grad_norm":
|
| 134 |
"learning_rate": 0.00019982289153773646,
|
| 135 |
-
"loss":
|
| 136 |
"step": 170
|
| 137 |
},
|
| 138 |
{
|
| 139 |
"epoch": 0.0266390409945242,
|
| 140 |
-
"grad_norm": 18.
|
| 141 |
"learning_rate": 0.00019973546914596623,
|
| 142 |
-
"loss": 3.
|
| 143 |
"step": 180
|
| 144 |
},
|
| 145 |
{
|
| 146 |
"epoch": 0.02811898771644221,
|
| 147 |
-
"grad_norm":
|
| 148 |
"learning_rate": 0.00019963059593496268,
|
| 149 |
-
"loss":
|
| 150 |
"step": 190
|
| 151 |
},
|
| 152 |
{
|
| 153 |
"epoch": 0.02959893443836022,
|
| 154 |
-
"grad_norm":
|
| 155 |
"learning_rate": 0.00019950829025450114,
|
| 156 |
-
"loss": 4.
|
| 157 |
"step": 200
|
| 158 |
},
|
| 159 |
{
|
| 160 |
"epoch": 0.02959893443836022,
|
| 161 |
-
"eval_loss":
|
| 162 |
-
"eval_runtime":
|
| 163 |
-
"eval_samples_per_second":
|
| 164 |
-
"eval_steps_per_second":
|
| 165 |
"step": 200
|
| 166 |
},
|
| 167 |
{
|
| 168 |
"epoch": 0.03107888116027823,
|
| 169 |
-
"grad_norm":
|
| 170 |
"learning_rate": 0.0001993685735045343,
|
| 171 |
-
"loss":
|
| 172 |
"step": 210
|
| 173 |
},
|
| 174 |
{
|
| 175 |
"epoch": 0.03255882788219624,
|
| 176 |
-
"grad_norm":
|
| 177 |
"learning_rate": 0.0001992114701314478,
|
| 178 |
-
"loss": 3.
|
| 179 |
"step": 220
|
| 180 |
},
|
| 181 |
{
|
| 182 |
"epoch": 0.03403877460411425,
|
| 183 |
-
"grad_norm":
|
| 184 |
"learning_rate": 0.000199037007623783,
|
| 185 |
-
"loss": 3.
|
| 186 |
"step": 230
|
| 187 |
},
|
| 188 |
{
|
| 189 |
"epoch": 0.03551872132603226,
|
| 190 |
-
"grad_norm":
|
| 191 |
"learning_rate": 0.00019884521650742715,
|
| 192 |
-
"loss": 3.
|
| 193 |
"step": 240
|
| 194 |
},
|
| 195 |
{
|
| 196 |
"epoch": 0.036998668047950274,
|
| 197 |
-
"grad_norm":
|
| 198 |
"learning_rate": 0.00019863613034027224,
|
| 199 |
-
"loss":
|
| 200 |
"step": 250
|
| 201 |
},
|
| 202 |
{
|
| 203 |
"epoch": 0.03847861476986828,
|
| 204 |
-
"grad_norm":
|
| 205 |
"learning_rate": 0.0001984097857063434,
|
| 206 |
-
"loss":
|
| 207 |
"step": 260
|
| 208 |
},
|
| 209 |
{
|
| 210 |
"epoch": 0.039958561491786296,
|
| 211 |
-
"grad_norm":
|
| 212 |
"learning_rate": 0.0001981662222093976,
|
| 213 |
-
"loss":
|
| 214 |
"step": 270
|
| 215 |
},
|
| 216 |
{
|
| 217 |
"epoch": 0.04143850821370431,
|
| 218 |
-
"grad_norm":
|
| 219 |
"learning_rate": 0.00019790548246599447,
|
| 220 |
-
"loss":
|
| 221 |
"step": 280
|
| 222 |
},
|
| 223 |
{
|
| 224 |
"epoch": 0.04291845493562232,
|
| 225 |
-
"grad_norm":
|
| 226 |
"learning_rate": 0.00019762761209803927,
|
| 227 |
-
"loss":
|
| 228 |
"step": 290
|
| 229 |
},
|
| 230 |
{
|
| 231 |
"epoch": 0.04439840165754033,
|
| 232 |
-
"grad_norm":
|
| 233 |
"learning_rate": 0.0001973326597248006,
|
| 234 |
-
"loss":
|
| 235 |
"step": 300
|
| 236 |
},
|
| 237 |
{
|
| 238 |
"epoch": 0.04587834837945834,
|
| 239 |
-
"grad_norm":
|
| 240 |
"learning_rate": 0.00019702067695440332,
|
| 241 |
-
"loss":
|
| 242 |
"step": 310
|
| 243 |
},
|
| 244 |
{
|
| 245 |
"epoch": 0.04735829510137635,
|
| 246 |
-
"grad_norm":
|
| 247 |
"learning_rate": 0.00019669171837479873,
|
| 248 |
-
"loss":
|
| 249 |
"step": 320
|
| 250 |
},
|
| 251 |
{
|
| 252 |
"epoch": 0.04883824182329436,
|
| 253 |
-
"grad_norm":
|
| 254 |
"learning_rate": 0.00019634584154421317,
|
| 255 |
-
"loss":
|
| 256 |
"step": 330
|
| 257 |
},
|
| 258 |
{
|
| 259 |
"epoch": 0.050318188545212375,
|
| 260 |
-
"grad_norm":
|
| 261 |
"learning_rate": 0.00019598310698107702,
|
| 262 |
-
"loss":
|
| 263 |
"step": 340
|
| 264 |
},
|
| 265 |
{
|
| 266 |
"epoch": 0.05179813526713038,
|
| 267 |
-
"grad_norm":
|
| 268 |
"learning_rate": 0.00019560357815343577,
|
| 269 |
-
"loss":
|
| 270 |
"step": 350
|
| 271 |
},
|
| 272 |
{
|
| 273 |
"epoch": 0.0532780819890484,
|
| 274 |
-
"grad_norm":
|
| 275 |
"learning_rate": 0.00019520732146784491,
|
| 276 |
-
"loss":
|
| 277 |
"step": 360
|
| 278 |
},
|
| 279 |
{
|
| 280 |
"epoch": 0.054758028710966404,
|
| 281 |
-
"grad_norm":
|
| 282 |
"learning_rate": 0.0001947944062577507,
|
| 283 |
-
"loss":
|
| 284 |
"step": 370
|
| 285 |
},
|
| 286 |
{
|
| 287 |
"epoch": 0.05623797543288442,
|
| 288 |
-
"grad_norm":
|
| 289 |
"learning_rate": 0.00019436490477135878,
|
| 290 |
-
"loss":
|
| 291 |
"step": 380
|
| 292 |
},
|
| 293 |
{
|
| 294 |
"epoch": 0.057717922154802426,
|
| 295 |
-
"grad_norm":
|
| 296 |
"learning_rate": 0.00019391889215899299,
|
| 297 |
-
"loss":
|
| 298 |
"step": 390
|
| 299 |
},
|
| 300 |
{
|
| 301 |
"epoch": 0.05919786887672044,
|
| 302 |
-
"grad_norm":
|
| 303 |
"learning_rate": 0.0001934564464599461,
|
| 304 |
-
"loss":
|
| 305 |
"step": 400
|
| 306 |
},
|
| 307 |
{
|
| 308 |
"epoch": 0.05919786887672044,
|
| 309 |
-
"eval_loss":
|
| 310 |
-
"eval_runtime":
|
| 311 |
-
"eval_samples_per_second":
|
| 312 |
-
"eval_steps_per_second":
|
| 313 |
"step": 400
|
| 314 |
}
|
| 315 |
],
|
|
|
|
| 11 |
{
|
| 12 |
"epoch": 0.0001479946721918011,
|
| 13 |
"eval_loss": 2.158451557159424,
|
| 14 |
+
"eval_runtime": 109.9644,
|
| 15 |
+
"eval_samples_per_second": 13.659,
|
| 16 |
+
"eval_steps_per_second": 6.829,
|
| 17 |
"step": 1
|
| 18 |
},
|
| 19 |
{
|
| 20 |
"epoch": 0.001479946721918011,
|
| 21 |
+
"grad_norm": 19.0,
|
| 22 |
"learning_rate": 1.6000000000000003e-05,
|
| 23 |
+
"loss": 1.8755,
|
| 24 |
"step": 10
|
| 25 |
},
|
| 26 |
{
|
| 27 |
"epoch": 0.002959893443836022,
|
| 28 |
+
"grad_norm": 15.75,
|
| 29 |
"learning_rate": 3.2000000000000005e-05,
|
| 30 |
+
"loss": 1.8991,
|
| 31 |
"step": 20
|
| 32 |
},
|
| 33 |
{
|
| 34 |
"epoch": 0.0044398401657540325,
|
| 35 |
+
"grad_norm": 20.5,
|
| 36 |
"learning_rate": 4.8e-05,
|
| 37 |
+
"loss": 1.6921,
|
| 38 |
"step": 30
|
| 39 |
},
|
| 40 |
{
|
| 41 |
"epoch": 0.005919786887672044,
|
| 42 |
+
"grad_norm": 21.25,
|
| 43 |
"learning_rate": 6.400000000000001e-05,
|
| 44 |
+
"loss": 1.7869,
|
| 45 |
"step": 40
|
| 46 |
},
|
| 47 |
{
|
| 48 |
"epoch": 0.007399733609590055,
|
| 49 |
+
"grad_norm": 29.0,
|
| 50 |
"learning_rate": 8e-05,
|
| 51 |
+
"loss": 1.2968,
|
| 52 |
"step": 50
|
| 53 |
},
|
| 54 |
{
|
| 55 |
"epoch": 0.008879680331508065,
|
| 56 |
+
"grad_norm": 7.1875,
|
| 57 |
"learning_rate": 9.6e-05,
|
| 58 |
+
"loss": 1.9665,
|
| 59 |
"step": 60
|
| 60 |
},
|
| 61 |
{
|
| 62 |
"epoch": 0.010359627053426078,
|
| 63 |
+
"grad_norm": 14.5625,
|
| 64 |
"learning_rate": 0.00011200000000000001,
|
| 65 |
+
"loss": 2.0639,
|
| 66 |
"step": 70
|
| 67 |
},
|
| 68 |
{
|
| 69 |
"epoch": 0.011839573775344088,
|
| 70 |
+
"grad_norm": 21.25,
|
| 71 |
"learning_rate": 0.00012800000000000002,
|
| 72 |
+
"loss": 1.5221,
|
| 73 |
"step": 80
|
| 74 |
},
|
| 75 |
{
|
| 76 |
"epoch": 0.0133195204972621,
|
| 77 |
+
"grad_norm": 20.75,
|
| 78 |
"learning_rate": 0.000144,
|
| 79 |
+
"loss": 2.3197,
|
| 80 |
"step": 90
|
| 81 |
},
|
| 82 |
{
|
| 83 |
"epoch": 0.01479946721918011,
|
| 84 |
+
"grad_norm": 132.0,
|
| 85 |
"learning_rate": 0.00016,
|
| 86 |
+
"loss": 2.2097,
|
| 87 |
"step": 100
|
| 88 |
},
|
| 89 |
{
|
| 90 |
"epoch": 0.01627941394109812,
|
| 91 |
+
"grad_norm": 21.0,
|
| 92 |
"learning_rate": 0.00017600000000000002,
|
| 93 |
+
"loss": 2.2899,
|
| 94 |
"step": 110
|
| 95 |
},
|
| 96 |
{
|
| 97 |
"epoch": 0.01775936066301613,
|
| 98 |
+
"grad_norm": 15.625,
|
| 99 |
"learning_rate": 0.000192,
|
| 100 |
+
"loss": 2.4378,
|
| 101 |
"step": 120
|
| 102 |
},
|
| 103 |
{
|
| 104 |
"epoch": 0.01923930738493414,
|
| 105 |
+
"grad_norm": 25.625,
|
| 106 |
"learning_rate": 0.0001999978128380225,
|
| 107 |
+
"loss": 2.581,
|
| 108 |
"step": 130
|
| 109 |
},
|
| 110 |
{
|
| 111 |
"epoch": 0.020719254106852155,
|
| 112 |
+
"grad_norm": 27.75,
|
| 113 |
"learning_rate": 0.0001999803161162393,
|
| 114 |
+
"loss": 2.7093,
|
| 115 |
"step": 140
|
| 116 |
},
|
| 117 |
{
|
| 118 |
"epoch": 0.022199200828770166,
|
| 119 |
"grad_norm": 80.0,
|
| 120 |
"learning_rate": 0.00019994532573409262,
|
| 121 |
+
"loss": 3.7613,
|
| 122 |
"step": 150
|
| 123 |
},
|
| 124 |
{
|
| 125 |
"epoch": 0.023679147550688177,
|
| 126 |
+
"grad_norm": 26.0,
|
| 127 |
"learning_rate": 0.00019989284781388617,
|
| 128 |
+
"loss": 3.2043,
|
| 129 |
"step": 160
|
| 130 |
},
|
| 131 |
{
|
| 132 |
"epoch": 0.025159094272606188,
|
| 133 |
+
"grad_norm": 16.125,
|
| 134 |
"learning_rate": 0.00019982289153773646,
|
| 135 |
+
"loss": 2.9456,
|
| 136 |
"step": 170
|
| 137 |
},
|
| 138 |
{
|
| 139 |
"epoch": 0.0266390409945242,
|
| 140 |
+
"grad_norm": 18.25,
|
| 141 |
"learning_rate": 0.00019973546914596623,
|
| 142 |
+
"loss": 3.1087,
|
| 143 |
"step": 180
|
| 144 |
},
|
| 145 |
{
|
| 146 |
"epoch": 0.02811898771644221,
|
| 147 |
+
"grad_norm": 16.125,
|
| 148 |
"learning_rate": 0.00019963059593496268,
|
| 149 |
+
"loss": 2.9073,
|
| 150 |
"step": 190
|
| 151 |
},
|
| 152 |
{
|
| 153 |
"epoch": 0.02959893443836022,
|
| 154 |
+
"grad_norm": 55.5,
|
| 155 |
"learning_rate": 0.00019950829025450114,
|
| 156 |
+
"loss": 4.5937,
|
| 157 |
"step": 200
|
| 158 |
},
|
| 159 |
{
|
| 160 |
"epoch": 0.02959893443836022,
|
| 161 |
+
"eval_loss": 3.860623359680176,
|
| 162 |
+
"eval_runtime": 106.7132,
|
| 163 |
+
"eval_samples_per_second": 14.075,
|
| 164 |
+
"eval_steps_per_second": 7.038,
|
| 165 |
"step": 200
|
| 166 |
},
|
| 167 |
{
|
| 168 |
"epoch": 0.03107888116027823,
|
| 169 |
+
"grad_norm": 13.625,
|
| 170 |
"learning_rate": 0.0001993685735045343,
|
| 171 |
+
"loss": 3.8042,
|
| 172 |
"step": 210
|
| 173 |
},
|
| 174 |
{
|
| 175 |
"epoch": 0.03255882788219624,
|
| 176 |
+
"grad_norm": 23.375,
|
| 177 |
"learning_rate": 0.0001992114701314478,
|
| 178 |
+
"loss": 3.0563,
|
| 179 |
"step": 220
|
| 180 |
},
|
| 181 |
{
|
| 182 |
"epoch": 0.03403877460411425,
|
| 183 |
+
"grad_norm": 20.125,
|
| 184 |
"learning_rate": 0.000199037007623783,
|
| 185 |
+
"loss": 3.5398,
|
| 186 |
"step": 230
|
| 187 |
},
|
| 188 |
{
|
| 189 |
"epoch": 0.03551872132603226,
|
| 190 |
+
"grad_norm": 44.75,
|
| 191 |
"learning_rate": 0.00019884521650742715,
|
| 192 |
+
"loss": 3.8845,
|
| 193 |
"step": 240
|
| 194 |
},
|
| 195 |
{
|
| 196 |
"epoch": 0.036998668047950274,
|
| 197 |
+
"grad_norm": 17.625,
|
| 198 |
"learning_rate": 0.00019863613034027224,
|
| 199 |
+
"loss": 3.6043,
|
| 200 |
"step": 250
|
| 201 |
},
|
| 202 |
{
|
| 203 |
"epoch": 0.03847861476986828,
|
| 204 |
+
"grad_norm": 13.375,
|
| 205 |
"learning_rate": 0.0001984097857063434,
|
| 206 |
+
"loss": 3.5133,
|
| 207 |
"step": 260
|
| 208 |
},
|
| 209 |
{
|
| 210 |
"epoch": 0.039958561491786296,
|
| 211 |
+
"grad_norm": 43.25,
|
| 212 |
"learning_rate": 0.0001981662222093976,
|
| 213 |
+
"loss": 3.1527,
|
| 214 |
"step": 270
|
| 215 |
},
|
| 216 |
{
|
| 217 |
"epoch": 0.04143850821370431,
|
| 218 |
+
"grad_norm": 26.625,
|
| 219 |
"learning_rate": 0.00019790548246599447,
|
| 220 |
+
"loss": 3.2272,
|
| 221 |
"step": 280
|
| 222 |
},
|
| 223 |
{
|
| 224 |
"epoch": 0.04291845493562232,
|
| 225 |
+
"grad_norm": 31.625,
|
| 226 |
"learning_rate": 0.00019762761209803927,
|
| 227 |
+
"loss": 3.7942,
|
| 228 |
"step": 290
|
| 229 |
},
|
| 230 |
{
|
| 231 |
"epoch": 0.04439840165754033,
|
| 232 |
+
"grad_norm": 70.0,
|
| 233 |
"learning_rate": 0.0001973326597248006,
|
| 234 |
+
"loss": 4.5742,
|
| 235 |
"step": 300
|
| 236 |
},
|
| 237 |
{
|
| 238 |
"epoch": 0.04587834837945834,
|
| 239 |
+
"grad_norm": 20.125,
|
| 240 |
"learning_rate": 0.00019702067695440332,
|
| 241 |
+
"loss": 3.939,
|
| 242 |
"step": 310
|
| 243 |
},
|
| 244 |
{
|
| 245 |
"epoch": 0.04735829510137635,
|
| 246 |
+
"grad_norm": 22.25,
|
| 247 |
"learning_rate": 0.00019669171837479873,
|
| 248 |
+
"loss": 3.4604,
|
| 249 |
"step": 320
|
| 250 |
},
|
| 251 |
{
|
| 252 |
"epoch": 0.04883824182329436,
|
| 253 |
+
"grad_norm": 14.8125,
|
| 254 |
"learning_rate": 0.00019634584154421317,
|
| 255 |
+
"loss": 3.731,
|
| 256 |
"step": 330
|
| 257 |
},
|
| 258 |
{
|
| 259 |
"epoch": 0.050318188545212375,
|
| 260 |
+
"grad_norm": 23.75,
|
| 261 |
"learning_rate": 0.00019598310698107702,
|
| 262 |
+
"loss": 3.3564,
|
| 263 |
"step": 340
|
| 264 |
},
|
| 265 |
{
|
| 266 |
"epoch": 0.05179813526713038,
|
| 267 |
+
"grad_norm": 31.875,
|
| 268 |
"learning_rate": 0.00019560357815343577,
|
| 269 |
+
"loss": 3.7669,
|
| 270 |
"step": 350
|
| 271 |
},
|
| 272 |
{
|
| 273 |
"epoch": 0.0532780819890484,
|
| 274 |
+
"grad_norm": 7.40625,
|
| 275 |
"learning_rate": 0.00019520732146784491,
|
| 276 |
+
"loss": 3.9271,
|
| 277 |
"step": 360
|
| 278 |
},
|
| 279 |
{
|
| 280 |
"epoch": 0.054758028710966404,
|
| 281 |
+
"grad_norm": 12.8125,
|
| 282 |
"learning_rate": 0.0001947944062577507,
|
| 283 |
+
"loss": 3.8324,
|
| 284 |
"step": 370
|
| 285 |
},
|
| 286 |
{
|
| 287 |
"epoch": 0.05623797543288442,
|
| 288 |
+
"grad_norm": 20.5,
|
| 289 |
"learning_rate": 0.00019436490477135878,
|
| 290 |
+
"loss": 3.7409,
|
| 291 |
"step": 380
|
| 292 |
},
|
| 293 |
{
|
| 294 |
"epoch": 0.057717922154802426,
|
| 295 |
+
"grad_norm": 82.5,
|
| 296 |
"learning_rate": 0.00019391889215899299,
|
| 297 |
+
"loss": 3.8351,
|
| 298 |
"step": 390
|
| 299 |
},
|
| 300 |
{
|
| 301 |
"epoch": 0.05919786887672044,
|
| 302 |
+
"grad_norm": 40.0,
|
| 303 |
"learning_rate": 0.0001934564464599461,
|
| 304 |
+
"loss": 4.4515,
|
| 305 |
"step": 400
|
| 306 |
},
|
| 307 |
{
|
| 308 |
"epoch": 0.05919786887672044,
|
| 309 |
+
"eval_loss": 4.6751227378845215,
|
| 310 |
+
"eval_runtime": 106.1002,
|
| 311 |
+
"eval_samples_per_second": 14.156,
|
| 312 |
+
"eval_steps_per_second": 7.078,
|
| 313 |
"step": 400
|
| 314 |
}
|
| 315 |
],
|
last-checkpoint/training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 6840
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2bf6f06544da4fe32a2b63dd4d1f2f74f2cd1ba39da1c617fe85338c0397a8ef
|
| 3 |
size 6840
|