Instructions to use ErrorAI/af8d874c-a4d3-45a3-8eb7-4217fa1af41f with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ErrorAI/af8d874c-a4d3-45a3-8eb7-4217fa1af41f with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2-0.5B") model = PeftModel.from_pretrained(base_model, "ErrorAI/af8d874c-a4d3-45a3-8eb7-4217fa1af41f") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 240, checkpoint
Browse files
last-checkpoint/adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 17640136
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3b85c4288e15e7e90f096fafd65908b1c4daa0578e76e4bdf6bac9a6e6782936
|
| 3 |
size 17640136
|
last-checkpoint/optimizer.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 9568884
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:dde79f1b8b635bbdbcd02e03c3416a64176fd8d3265b5cd602b53e64872bb86c
|
| 3 |
size 9568884
|
last-checkpoint/rng_state.pth
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 14244
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:361fb425516f83f38c261aa6c9128c83ed47651429def5cd3ac42d2b7b0342fc
|
| 3 |
size 14244
|
last-checkpoint/scheduler.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1064
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6cf0ce84b55ef92ba1a34321398985dec341ef213dc7495da15b9effc346b4bc
|
| 3 |
size 1064
|
last-checkpoint/trainer_state.json
CHANGED
|
@@ -1,9 +1,9 @@
|
|
| 1 |
{
|
| 2 |
"best_metric": null,
|
| 3 |
"best_model_checkpoint": null,
|
| 4 |
-
"epoch": 0.
|
| 5 |
"eval_steps": 80,
|
| 6 |
-
"global_step":
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
"is_world_process_zero": true,
|
|
@@ -1151,6 +1151,574 @@
|
|
| 1151 |
"eval_samples_per_second": 49.485,
|
| 1152 |
"eval_steps_per_second": 24.743,
|
| 1153 |
"step": 160
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1154 |
}
|
| 1155 |
],
|
| 1156 |
"logging_steps": 1,
|
|
@@ -1170,7 +1738,7 @@
|
|
| 1170 |
"attributes": {}
|
| 1171 |
}
|
| 1172 |
},
|
| 1173 |
-
"total_flos":
|
| 1174 |
"train_batch_size": 2,
|
| 1175 |
"trial_name": null,
|
| 1176 |
"trial_params": null
|
|
|
|
| 1 |
{
|
| 2 |
"best_metric": null,
|
| 3 |
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 0.7541241162608012,
|
| 5 |
"eval_steps": 80,
|
| 6 |
+
"global_step": 240,
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
"is_world_process_zero": true,
|
|
|
|
| 1151 |
"eval_samples_per_second": 49.485,
|
| 1152 |
"eval_steps_per_second": 24.743,
|
| 1153 |
"step": 160
|
| 1154 |
+
},
|
| 1155 |
+
{
|
| 1156 |
+
"epoch": 0.5058915946582875,
|
| 1157 |
+
"grad_norm": 3.240180253982544,
|
| 1158 |
+
"learning_rate": 0.00010355768735057274,
|
| 1159 |
+
"loss": 1.8506,
|
| 1160 |
+
"step": 161
|
| 1161 |
+
},
|
| 1162 |
+
{
|
| 1163 |
+
"epoch": 0.5090337784760408,
|
| 1164 |
+
"grad_norm": 2.5924041271209717,
|
| 1165 |
+
"learning_rate": 0.00010254146795802496,
|
| 1166 |
+
"loss": 1.5722,
|
| 1167 |
+
"step": 162
|
| 1168 |
+
},
|
| 1169 |
+
{
|
| 1170 |
+
"epoch": 0.5121759622937941,
|
| 1171 |
+
"grad_norm": 3.3554389476776123,
|
| 1172 |
+
"learning_rate": 0.0001015249858632926,
|
| 1173 |
+
"loss": 1.7023,
|
| 1174 |
+
"step": 163
|
| 1175 |
+
},
|
| 1176 |
+
{
|
| 1177 |
+
"epoch": 0.5153181461115475,
|
| 1178 |
+
"grad_norm": 3.9481089115142822,
|
| 1179 |
+
"learning_rate": 0.00010050834613638695,
|
| 1180 |
+
"loss": 1.023,
|
| 1181 |
+
"step": 164
|
| 1182 |
+
},
|
| 1183 |
+
{
|
| 1184 |
+
"epoch": 0.5184603299293009,
|
| 1185 |
+
"grad_norm": 3.820544481277466,
|
| 1186 |
+
"learning_rate": 9.949165386361305e-05,
|
| 1187 |
+
"loss": 1.3915,
|
| 1188 |
+
"step": 165
|
| 1189 |
+
},
|
| 1190 |
+
{
|
| 1191 |
+
"epoch": 0.5216025137470542,
|
| 1192 |
+
"grad_norm": 3.010590076446533,
|
| 1193 |
+
"learning_rate": 9.847501413670742e-05,
|
| 1194 |
+
"loss": 1.7605,
|
| 1195 |
+
"step": 166
|
| 1196 |
+
},
|
| 1197 |
+
{
|
| 1198 |
+
"epoch": 0.5247446975648076,
|
| 1199 |
+
"grad_norm": 2.4504518508911133,
|
| 1200 |
+
"learning_rate": 9.745853204197511e-05,
|
| 1201 |
+
"loss": 1.0818,
|
| 1202 |
+
"step": 167
|
| 1203 |
+
},
|
| 1204 |
+
{
|
| 1205 |
+
"epoch": 0.5278868813825609,
|
| 1206 |
+
"grad_norm": 3.456731081008911,
|
| 1207 |
+
"learning_rate": 9.644231264942724e-05,
|
| 1208 |
+
"loss": 2.1294,
|
| 1209 |
+
"step": 168
|
| 1210 |
+
},
|
| 1211 |
+
{
|
| 1212 |
+
"epoch": 0.5310290652003142,
|
| 1213 |
+
"grad_norm": 3.030032157897949,
|
| 1214 |
+
"learning_rate": 9.542646100192056e-05,
|
| 1215 |
+
"loss": 1.4387,
|
| 1216 |
+
"step": 169
|
| 1217 |
+
},
|
| 1218 |
+
{
|
| 1219 |
+
"epoch": 0.5341712490180676,
|
| 1220 |
+
"grad_norm": 3.5836856365203857,
|
| 1221 |
+
"learning_rate": 9.441108210429922e-05,
|
| 1222 |
+
"loss": 1.5016,
|
| 1223 |
+
"step": 170
|
| 1224 |
+
},
|
| 1225 |
+
{
|
| 1226 |
+
"epoch": 0.5373134328358209,
|
| 1227 |
+
"grad_norm": 4.350781440734863,
|
| 1228 |
+
"learning_rate": 9.339628091254092e-05,
|
| 1229 |
+
"loss": 1.8583,
|
| 1230 |
+
"step": 171
|
| 1231 |
+
},
|
| 1232 |
+
{
|
| 1233 |
+
"epoch": 0.5404556166535742,
|
| 1234 |
+
"grad_norm": 3.686854600906372,
|
| 1235 |
+
"learning_rate": 9.238216232290822e-05,
|
| 1236 |
+
"loss": 1.4423,
|
| 1237 |
+
"step": 172
|
| 1238 |
+
},
|
| 1239 |
+
{
|
| 1240 |
+
"epoch": 0.5435978004713276,
|
| 1241 |
+
"grad_norm": 3.782068967819214,
|
| 1242 |
+
"learning_rate": 9.136883116110542e-05,
|
| 1243 |
+
"loss": 2.2668,
|
| 1244 |
+
"step": 173
|
| 1245 |
+
},
|
| 1246 |
+
{
|
| 1247 |
+
"epoch": 0.5467399842890809,
|
| 1248 |
+
"grad_norm": 3.2803049087524414,
|
| 1249 |
+
"learning_rate": 9.035639217144335e-05,
|
| 1250 |
+
"loss": 1.6369,
|
| 1251 |
+
"step": 174
|
| 1252 |
+
},
|
| 1253 |
+
{
|
| 1254 |
+
"epoch": 0.5498821681068342,
|
| 1255 |
+
"grad_norm": 3.4781503677368164,
|
| 1256 |
+
"learning_rate": 8.93449500060124e-05,
|
| 1257 |
+
"loss": 1.6043,
|
| 1258 |
+
"step": 175
|
| 1259 |
+
},
|
| 1260 |
+
{
|
| 1261 |
+
"epoch": 0.5530243519245875,
|
| 1262 |
+
"grad_norm": 2.033583641052246,
|
| 1263 |
+
"learning_rate": 8.833460921386478e-05,
|
| 1264 |
+
"loss": 1.2974,
|
| 1265 |
+
"step": 176
|
| 1266 |
+
},
|
| 1267 |
+
{
|
| 1268 |
+
"epoch": 0.5561665357423409,
|
| 1269 |
+
"grad_norm": 3.06197190284729,
|
| 1270 |
+
"learning_rate": 8.732547423020785e-05,
|
| 1271 |
+
"loss": 1.5524,
|
| 1272 |
+
"step": 177
|
| 1273 |
+
},
|
| 1274 |
+
{
|
| 1275 |
+
"epoch": 0.5593087195600943,
|
| 1276 |
+
"grad_norm": 2.9753012657165527,
|
| 1277 |
+
"learning_rate": 8.6317649365609e-05,
|
| 1278 |
+
"loss": 1.4712,
|
| 1279 |
+
"step": 178
|
| 1280 |
+
},
|
| 1281 |
+
{
|
| 1282 |
+
"epoch": 0.5624509033778476,
|
| 1283 |
+
"grad_norm": 4.010929584503174,
|
| 1284 |
+
"learning_rate": 8.53112387952134e-05,
|
| 1285 |
+
"loss": 2.0492,
|
| 1286 |
+
"step": 179
|
| 1287 |
+
},
|
| 1288 |
+
{
|
| 1289 |
+
"epoch": 0.565593087195601,
|
| 1290 |
+
"grad_norm": 3.849738359451294,
|
| 1291 |
+
"learning_rate": 8.430634654797589e-05,
|
| 1292 |
+
"loss": 1.7229,
|
| 1293 |
+
"step": 180
|
| 1294 |
+
},
|
| 1295 |
+
{
|
| 1296 |
+
"epoch": 0.5687352710133543,
|
| 1297 |
+
"grad_norm": 2.7467198371887207,
|
| 1298 |
+
"learning_rate": 8.33030764959078e-05,
|
| 1299 |
+
"loss": 1.3926,
|
| 1300 |
+
"step": 181
|
| 1301 |
+
},
|
| 1302 |
+
{
|
| 1303 |
+
"epoch": 0.5718774548311076,
|
| 1304 |
+
"grad_norm": 3.7025146484375,
|
| 1305 |
+
"learning_rate": 8.230153234334009e-05,
|
| 1306 |
+
"loss": 1.4077,
|
| 1307 |
+
"step": 182
|
| 1308 |
+
},
|
| 1309 |
+
{
|
| 1310 |
+
"epoch": 0.575019638648861,
|
| 1311 |
+
"grad_norm": 2.9654452800750732,
|
| 1312 |
+
"learning_rate": 8.130181761620392e-05,
|
| 1313 |
+
"loss": 1.3627,
|
| 1314 |
+
"step": 183
|
| 1315 |
+
},
|
| 1316 |
+
{
|
| 1317 |
+
"epoch": 0.5781618224666143,
|
| 1318 |
+
"grad_norm": 3.4731550216674805,
|
| 1319 |
+
"learning_rate": 8.030403565132942e-05,
|
| 1320 |
+
"loss": 1.849,
|
| 1321 |
+
"step": 184
|
| 1322 |
+
},
|
| 1323 |
+
{
|
| 1324 |
+
"epoch": 0.5813040062843676,
|
| 1325 |
+
"grad_norm": 2.7085728645324707,
|
| 1326 |
+
"learning_rate": 7.930828958576418e-05,
|
| 1327 |
+
"loss": 1.6987,
|
| 1328 |
+
"step": 185
|
| 1329 |
+
},
|
| 1330 |
+
{
|
| 1331 |
+
"epoch": 0.584446190102121,
|
| 1332 |
+
"grad_norm": 4.058467388153076,
|
| 1333 |
+
"learning_rate": 7.831468234611248e-05,
|
| 1334 |
+
"loss": 1.5156,
|
| 1335 |
+
"step": 186
|
| 1336 |
+
},
|
| 1337 |
+
{
|
| 1338 |
+
"epoch": 0.5875883739198743,
|
| 1339 |
+
"grad_norm": 2.886965274810791,
|
| 1340 |
+
"learning_rate": 7.732331663789592e-05,
|
| 1341 |
+
"loss": 1.6632,
|
| 1342 |
+
"step": 187
|
| 1343 |
+
},
|
| 1344 |
+
{
|
| 1345 |
+
"epoch": 0.5907305577376276,
|
| 1346 |
+
"grad_norm": 3.4424009323120117,
|
| 1347 |
+
"learning_rate": 7.63342949349373e-05,
|
| 1348 |
+
"loss": 1.6291,
|
| 1349 |
+
"step": 188
|
| 1350 |
+
},
|
| 1351 |
+
{
|
| 1352 |
+
"epoch": 0.593872741555381,
|
| 1353 |
+
"grad_norm": 2.920100450515747,
|
| 1354 |
+
"learning_rate": 7.53477194687683e-05,
|
| 1355 |
+
"loss": 1.8846,
|
| 1356 |
+
"step": 189
|
| 1357 |
+
},
|
| 1358 |
+
{
|
| 1359 |
+
"epoch": 0.5970149253731343,
|
| 1360 |
+
"grad_norm": 4.886646747589111,
|
| 1361 |
+
"learning_rate": 7.436369221806201e-05,
|
| 1362 |
+
"loss": 1.7851,
|
| 1363 |
+
"step": 190
|
| 1364 |
+
},
|
| 1365 |
+
{
|
| 1366 |
+
"epoch": 0.6001571091908877,
|
| 1367 |
+
"grad_norm": 3.3097128868103027,
|
| 1368 |
+
"learning_rate": 7.338231489809182e-05,
|
| 1369 |
+
"loss": 1.3636,
|
| 1370 |
+
"step": 191
|
| 1371 |
+
},
|
| 1372 |
+
{
|
| 1373 |
+
"epoch": 0.603299293008641,
|
| 1374 |
+
"grad_norm": 2.9851467609405518,
|
| 1375 |
+
"learning_rate": 7.240368895021776e-05,
|
| 1376 |
+
"loss": 1.528,
|
| 1377 |
+
"step": 192
|
| 1378 |
+
},
|
| 1379 |
+
{
|
| 1380 |
+
"epoch": 0.6064414768263944,
|
| 1381 |
+
"grad_norm": 3.0865113735198975,
|
| 1382 |
+
"learning_rate": 7.142791553140045e-05,
|
| 1383 |
+
"loss": 1.6909,
|
| 1384 |
+
"step": 193
|
| 1385 |
+
},
|
| 1386 |
+
{
|
| 1387 |
+
"epoch": 0.6095836606441477,
|
| 1388 |
+
"grad_norm": 3.4044251441955566,
|
| 1389 |
+
"learning_rate": 7.045509550374509e-05,
|
| 1390 |
+
"loss": 1.8482,
|
| 1391 |
+
"step": 194
|
| 1392 |
+
},
|
| 1393 |
+
{
|
| 1394 |
+
"epoch": 0.612725844461901,
|
| 1395 |
+
"grad_norm": 3.037865400314331,
|
| 1396 |
+
"learning_rate": 6.948532942407588e-05,
|
| 1397 |
+
"loss": 1.5621,
|
| 1398 |
+
"step": 195
|
| 1399 |
+
},
|
| 1400 |
+
{
|
| 1401 |
+
"epoch": 0.6158680282796544,
|
| 1402 |
+
"grad_norm": 2.8910703659057617,
|
| 1403 |
+
"learning_rate": 6.851871753354153e-05,
|
| 1404 |
+
"loss": 2.0208,
|
| 1405 |
+
"step": 196
|
| 1406 |
+
},
|
| 1407 |
+
{
|
| 1408 |
+
"epoch": 0.6190102120974077,
|
| 1409 |
+
"grad_norm": 2.654572010040283,
|
| 1410 |
+
"learning_rate": 6.75553597472538e-05,
|
| 1411 |
+
"loss": 1.474,
|
| 1412 |
+
"step": 197
|
| 1413 |
+
},
|
| 1414 |
+
{
|
| 1415 |
+
"epoch": 0.622152395915161,
|
| 1416 |
+
"grad_norm": 3.5527305603027344,
|
| 1417 |
+
"learning_rate": 6.659535564395982e-05,
|
| 1418 |
+
"loss": 1.7029,
|
| 1419 |
+
"step": 198
|
| 1420 |
+
},
|
| 1421 |
+
{
|
| 1422 |
+
"epoch": 0.6252945797329144,
|
| 1423 |
+
"grad_norm": 3.0605008602142334,
|
| 1424 |
+
"learning_rate": 6.563880445574873e-05,
|
| 1425 |
+
"loss": 1.7066,
|
| 1426 |
+
"step": 199
|
| 1427 |
+
},
|
| 1428 |
+
{
|
| 1429 |
+
"epoch": 0.6284367635506677,
|
| 1430 |
+
"grad_norm": 3.1935837268829346,
|
| 1431 |
+
"learning_rate": 6.468580505779455e-05,
|
| 1432 |
+
"loss": 1.3738,
|
| 1433 |
+
"step": 200
|
| 1434 |
+
},
|
| 1435 |
+
{
|
| 1436 |
+
"epoch": 0.631578947368421,
|
| 1437 |
+
"grad_norm": 2.252251386642456,
|
| 1438 |
+
"learning_rate": 6.373645595813597e-05,
|
| 1439 |
+
"loss": 1.0449,
|
| 1440 |
+
"step": 201
|
| 1441 |
+
},
|
| 1442 |
+
{
|
| 1443 |
+
"epoch": 0.6347211311861743,
|
| 1444 |
+
"grad_norm": 2.783259630203247,
|
| 1445 |
+
"learning_rate": 6.279085528749359e-05,
|
| 1446 |
+
"loss": 1.4207,
|
| 1447 |
+
"step": 202
|
| 1448 |
+
},
|
| 1449 |
+
{
|
| 1450 |
+
"epoch": 0.6378633150039277,
|
| 1451 |
+
"grad_norm": 3.06081223487854,
|
| 1452 |
+
"learning_rate": 6.184910078912687e-05,
|
| 1453 |
+
"loss": 1.8729,
|
| 1454 |
+
"step": 203
|
| 1455 |
+
},
|
| 1456 |
+
{
|
| 1457 |
+
"epoch": 0.6410054988216811,
|
| 1458 |
+
"grad_norm": 3.344658613204956,
|
| 1459 |
+
"learning_rate": 6.091128980873047e-05,
|
| 1460 |
+
"loss": 1.6881,
|
| 1461 |
+
"step": 204
|
| 1462 |
+
},
|
| 1463 |
+
{
|
| 1464 |
+
"epoch": 0.6441476826394344,
|
| 1465 |
+
"grad_norm": 2.9843616485595703,
|
| 1466 |
+
"learning_rate": 5.9977519284372194e-05,
|
| 1467 |
+
"loss": 1.5749,
|
| 1468 |
+
"step": 205
|
| 1469 |
+
},
|
| 1470 |
+
{
|
| 1471 |
+
"epoch": 0.6472898664571878,
|
| 1472 |
+
"grad_norm": 2.9453976154327393,
|
| 1473 |
+
"learning_rate": 5.904788573647283e-05,
|
| 1474 |
+
"loss": 1.5309,
|
| 1475 |
+
"step": 206
|
| 1476 |
+
},
|
| 1477 |
+
{
|
| 1478 |
+
"epoch": 0.6504320502749411,
|
| 1479 |
+
"grad_norm": 5.193003177642822,
|
| 1480 |
+
"learning_rate": 5.812248525782902e-05,
|
| 1481 |
+
"loss": 2.5382,
|
| 1482 |
+
"step": 207
|
| 1483 |
+
},
|
| 1484 |
+
{
|
| 1485 |
+
"epoch": 0.6535742340926944,
|
| 1486 |
+
"grad_norm": 3.410548210144043,
|
| 1487 |
+
"learning_rate": 5.720141350368072e-05,
|
| 1488 |
+
"loss": 1.7645,
|
| 1489 |
+
"step": 208
|
| 1490 |
+
},
|
| 1491 |
+
{
|
| 1492 |
+
"epoch": 0.6567164179104478,
|
| 1493 |
+
"grad_norm": 3.7863245010375977,
|
| 1494 |
+
"learning_rate": 5.628476568182349e-05,
|
| 1495 |
+
"loss": 1.7413,
|
| 1496 |
+
"step": 209
|
| 1497 |
+
},
|
| 1498 |
+
{
|
| 1499 |
+
"epoch": 0.6598586017282011,
|
| 1500 |
+
"grad_norm": 3.272993564605713,
|
| 1501 |
+
"learning_rate": 5.537263654276743e-05,
|
| 1502 |
+
"loss": 1.7147,
|
| 1503 |
+
"step": 210
|
| 1504 |
+
},
|
| 1505 |
+
{
|
| 1506 |
+
"epoch": 0.6630007855459544,
|
| 1507 |
+
"grad_norm": 3.63997745513916,
|
| 1508 |
+
"learning_rate": 5.446512036994287e-05,
|
| 1509 |
+
"loss": 2.1379,
|
| 1510 |
+
"step": 211
|
| 1511 |
+
},
|
| 1512 |
+
{
|
| 1513 |
+
"epoch": 0.6661429693637078,
|
| 1514 |
+
"grad_norm": 2.9162802696228027,
|
| 1515 |
+
"learning_rate": 5.3562310969954986e-05,
|
| 1516 |
+
"loss": 1.602,
|
| 1517 |
+
"step": 212
|
| 1518 |
+
},
|
| 1519 |
+
{
|
| 1520 |
+
"epoch": 0.6692851531814611,
|
| 1521 |
+
"grad_norm": 4.252023220062256,
|
| 1522 |
+
"learning_rate": 5.266430166288705e-05,
|
| 1523 |
+
"loss": 1.6294,
|
| 1524 |
+
"step": 213
|
| 1525 |
+
},
|
| 1526 |
+
{
|
| 1527 |
+
"epoch": 0.6724273369992144,
|
| 1528 |
+
"grad_norm": 3.3379228115081787,
|
| 1529 |
+
"learning_rate": 5.177118527265438e-05,
|
| 1530 |
+
"loss": 1.8851,
|
| 1531 |
+
"step": 214
|
| 1532 |
+
},
|
| 1533 |
+
{
|
| 1534 |
+
"epoch": 0.6755695208169678,
|
| 1535 |
+
"grad_norm": 3.1608657836914062,
|
| 1536 |
+
"learning_rate": 5.088305411740966e-05,
|
| 1537 |
+
"loss": 2.0081,
|
| 1538 |
+
"step": 215
|
| 1539 |
+
},
|
| 1540 |
+
{
|
| 1541 |
+
"epoch": 0.6787117046347211,
|
| 1542 |
+
"grad_norm": 3.7537503242492676,
|
| 1543 |
+
"learning_rate": 5.000000000000002e-05,
|
| 1544 |
+
"loss": 1.6,
|
| 1545 |
+
"step": 216
|
| 1546 |
+
},
|
| 1547 |
+
{
|
| 1548 |
+
"epoch": 0.6818538884524745,
|
| 1549 |
+
"grad_norm": 3.284390687942505,
|
| 1550 |
+
"learning_rate": 4.912211419847794e-05,
|
| 1551 |
+
"loss": 2.2538,
|
| 1552 |
+
"step": 217
|
| 1553 |
+
},
|
| 1554 |
+
{
|
| 1555 |
+
"epoch": 0.6849960722702279,
|
| 1556 |
+
"grad_norm": 3.8979196548461914,
|
| 1557 |
+
"learning_rate": 4.824948745666621e-05,
|
| 1558 |
+
"loss": 1.5375,
|
| 1559 |
+
"step": 218
|
| 1560 |
+
},
|
| 1561 |
+
{
|
| 1562 |
+
"epoch": 0.6881382560879812,
|
| 1563 |
+
"grad_norm": 2.478149652481079,
|
| 1564 |
+
"learning_rate": 4.738220997477785e-05,
|
| 1565 |
+
"loss": 0.9344,
|
| 1566 |
+
"step": 219
|
| 1567 |
+
},
|
| 1568 |
+
{
|
| 1569 |
+
"epoch": 0.6912804399057345,
|
| 1570 |
+
"grad_norm": 4.684049129486084,
|
| 1571 |
+
"learning_rate": 4.652037140009259e-05,
|
| 1572 |
+
"loss": 1.9966,
|
| 1573 |
+
"step": 220
|
| 1574 |
+
},
|
| 1575 |
+
{
|
| 1576 |
+
"epoch": 0.6944226237234878,
|
| 1577 |
+
"grad_norm": 4.880794525146484,
|
| 1578 |
+
"learning_rate": 4.566406081769048e-05,
|
| 1579 |
+
"loss": 2.1047,
|
| 1580 |
+
"step": 221
|
| 1581 |
+
},
|
| 1582 |
+
{
|
| 1583 |
+
"epoch": 0.6975648075412412,
|
| 1584 |
+
"grad_norm": 3.5058200359344482,
|
| 1585 |
+
"learning_rate": 4.4813366741243235e-05,
|
| 1586 |
+
"loss": 1.2207,
|
| 1587 |
+
"step": 222
|
| 1588 |
+
},
|
| 1589 |
+
{
|
| 1590 |
+
"epoch": 0.7007069913589945,
|
| 1591 |
+
"grad_norm": 3.8358356952667236,
|
| 1592 |
+
"learning_rate": 4.3968377103865024e-05,
|
| 1593 |
+
"loss": 1.4966,
|
| 1594 |
+
"step": 223
|
| 1595 |
+
},
|
| 1596 |
+
{
|
| 1597 |
+
"epoch": 0.7038491751767478,
|
| 1598 |
+
"grad_norm": 3.208253860473633,
|
| 1599 |
+
"learning_rate": 4.312917924902328e-05,
|
| 1600 |
+
"loss": 1.6995,
|
| 1601 |
+
"step": 224
|
| 1602 |
+
},
|
| 1603 |
+
{
|
| 1604 |
+
"epoch": 0.7069913589945012,
|
| 1605 |
+
"grad_norm": 3.3680973052978516,
|
| 1606 |
+
"learning_rate": 4.2295859921510065e-05,
|
| 1607 |
+
"loss": 1.4803,
|
| 1608 |
+
"step": 225
|
| 1609 |
+
},
|
| 1610 |
+
{
|
| 1611 |
+
"epoch": 0.7101335428122545,
|
| 1612 |
+
"grad_norm": 3.7472915649414062,
|
| 1613 |
+
"learning_rate": 4.146850525847579e-05,
|
| 1614 |
+
"loss": 1.4986,
|
| 1615 |
+
"step": 226
|
| 1616 |
+
},
|
| 1617 |
+
{
|
| 1618 |
+
"epoch": 0.7132757266300078,
|
| 1619 |
+
"grad_norm": 2.227855920791626,
|
| 1620 |
+
"learning_rate": 4.0647200780525485e-05,
|
| 1621 |
+
"loss": 1.2043,
|
| 1622 |
+
"step": 227
|
| 1623 |
+
},
|
| 1624 |
+
{
|
| 1625 |
+
"epoch": 0.7164179104477612,
|
| 1626 |
+
"grad_norm": 2.8060460090637207,
|
| 1627 |
+
"learning_rate": 3.9832031382878766e-05,
|
| 1628 |
+
"loss": 1.3487,
|
| 1629 |
+
"step": 228
|
| 1630 |
+
},
|
| 1631 |
+
{
|
| 1632 |
+
"epoch": 0.7195600942655145,
|
| 1633 |
+
"grad_norm": 5.808004856109619,
|
| 1634 |
+
"learning_rate": 3.902308132659457e-05,
|
| 1635 |
+
"loss": 1.4391,
|
| 1636 |
+
"step": 229
|
| 1637 |
+
},
|
| 1638 |
+
{
|
| 1639 |
+
"epoch": 0.7227022780832679,
|
| 1640 |
+
"grad_norm": 3.1952292919158936,
|
| 1641 |
+
"learning_rate": 3.822043422986154e-05,
|
| 1642 |
+
"loss": 1.5274,
|
| 1643 |
+
"step": 230
|
| 1644 |
+
},
|
| 1645 |
+
{
|
| 1646 |
+
"epoch": 0.7258444619010213,
|
| 1647 |
+
"grad_norm": 3.0368149280548096,
|
| 1648 |
+
"learning_rate": 3.742417305935443e-05,
|
| 1649 |
+
"loss": 1.7069,
|
| 1650 |
+
"step": 231
|
| 1651 |
+
},
|
| 1652 |
+
{
|
| 1653 |
+
"epoch": 0.7289866457187746,
|
| 1654 |
+
"grad_norm": 4.093614101409912,
|
| 1655 |
+
"learning_rate": 3.663438012165848e-05,
|
| 1656 |
+
"loss": 1.5117,
|
| 1657 |
+
"step": 232
|
| 1658 |
+
},
|
| 1659 |
+
{
|
| 1660 |
+
"epoch": 0.7321288295365279,
|
| 1661 |
+
"grad_norm": 3.322749376296997,
|
| 1662 |
+
"learning_rate": 3.585113705476143e-05,
|
| 1663 |
+
"loss": 1.9282,
|
| 1664 |
+
"step": 233
|
| 1665 |
+
},
|
| 1666 |
+
{
|
| 1667 |
+
"epoch": 0.7352710133542812,
|
| 1668 |
+
"grad_norm": 3.3822438716888428,
|
| 1669 |
+
"learning_rate": 3.507452481961495e-05,
|
| 1670 |
+
"loss": 1.6525,
|
| 1671 |
+
"step": 234
|
| 1672 |
+
},
|
| 1673 |
+
{
|
| 1674 |
+
"epoch": 0.7384131971720346,
|
| 1675 |
+
"grad_norm": 3.370032548904419,
|
| 1676 |
+
"learning_rate": 3.430462369176619e-05,
|
| 1677 |
+
"loss": 1.6501,
|
| 1678 |
+
"step": 235
|
| 1679 |
+
},
|
| 1680 |
+
{
|
| 1681 |
+
"epoch": 0.7415553809897879,
|
| 1682 |
+
"grad_norm": 2.9259777069091797,
|
| 1683 |
+
"learning_rate": 3.354151325305973e-05,
|
| 1684 |
+
"loss": 1.5612,
|
| 1685 |
+
"step": 236
|
| 1686 |
+
},
|
| 1687 |
+
{
|
| 1688 |
+
"epoch": 0.7446975648075412,
|
| 1689 |
+
"grad_norm": 3.0297186374664307,
|
| 1690 |
+
"learning_rate": 3.2785272383411635e-05,
|
| 1691 |
+
"loss": 1.4687,
|
| 1692 |
+
"step": 237
|
| 1693 |
+
},
|
| 1694 |
+
{
|
| 1695 |
+
"epoch": 0.7478397486252946,
|
| 1696 |
+
"grad_norm": 3.416358709335327,
|
| 1697 |
+
"learning_rate": 3.203597925265598e-05,
|
| 1698 |
+
"loss": 1.5875,
|
| 1699 |
+
"step": 238
|
| 1700 |
+
},
|
| 1701 |
+
{
|
| 1702 |
+
"epoch": 0.7509819324430479,
|
| 1703 |
+
"grad_norm": 3.3446104526519775,
|
| 1704 |
+
"learning_rate": 3.129371131246459e-05,
|
| 1705 |
+
"loss": 1.5081,
|
| 1706 |
+
"step": 239
|
| 1707 |
+
},
|
| 1708 |
+
{
|
| 1709 |
+
"epoch": 0.7541241162608012,
|
| 1710 |
+
"grad_norm": 3.2972259521484375,
|
| 1711 |
+
"learning_rate": 3.05585452883412e-05,
|
| 1712 |
+
"loss": 1.5997,
|
| 1713 |
+
"step": 240
|
| 1714 |
+
},
|
| 1715 |
+
{
|
| 1716 |
+
"epoch": 0.7541241162608012,
|
| 1717 |
+
"eval_loss": 1.4743300676345825,
|
| 1718 |
+
"eval_runtime": 2.6932,
|
| 1719 |
+
"eval_samples_per_second": 49.755,
|
| 1720 |
+
"eval_steps_per_second": 24.878,
|
| 1721 |
+
"step": 240
|
| 1722 |
}
|
| 1723 |
],
|
| 1724 |
"logging_steps": 1,
|
|
|
|
| 1738 |
"attributes": {}
|
| 1739 |
}
|
| 1740 |
},
|
| 1741 |
+
"total_flos": 2136915931299840.0,
|
| 1742 |
"train_batch_size": 2,
|
| 1743 |
"trial_name": null,
|
| 1744 |
"trial_params": null
|