Training in progress, step 100, checkpoint
Browse files- last-checkpoint/README.md +19 -0
- last-checkpoint/adapter_model.safetensors +1 -1
- last-checkpoint/optimizer.pt +1 -1
- last-checkpoint/rng_state.pth +1 -1
- last-checkpoint/scheduler.pt +1 -1
- last-checkpoint/tokenizer.json +2 -2
- last-checkpoint/trainer_state.json +10 -570
- last-checkpoint/training_args.bin +1 -1
last-checkpoint/README.md
CHANGED
|
@@ -216,4 +216,23 @@ The following `bitsandbytes` quantization config was used during training:
|
|
| 216 |
### Framework versions
|
| 217 |
|
| 218 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 219 |
- PEFT 0.7.0.dev0
|
|
|
|
| 216 |
### Framework versions
|
| 217 |
|
| 218 |
|
| 219 |
+
- PEFT 0.7.0.dev0
|
| 220 |
+
## Training procedure
|
| 221 |
+
|
| 222 |
+
|
| 223 |
+
The following `bitsandbytes` quantization config was used during training:
|
| 224 |
+
- quant_method: bitsandbytes
|
| 225 |
+
- load_in_8bit: True
|
| 226 |
+
- load_in_4bit: False
|
| 227 |
+
- llm_int8_threshold: 6.0
|
| 228 |
+
- llm_int8_skip_modules: None
|
| 229 |
+
- llm_int8_enable_fp32_cpu_offload: False
|
| 230 |
+
- llm_int8_has_fp16_weight: False
|
| 231 |
+
- bnb_4bit_quant_type: fp4
|
| 232 |
+
- bnb_4bit_use_double_quant: False
|
| 233 |
+
- bnb_4bit_compute_dtype: float32
|
| 234 |
+
|
| 235 |
+
### Framework versions
|
| 236 |
+
|
| 237 |
+
|
| 238 |
- PEFT 0.7.0.dev0
|
last-checkpoint/adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 9444296
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:211d9494efabde69694ae122c25ba8abf39c3c3b42ac69456a4f7215d5944972
|
| 3 |
size 9444296
|
last-checkpoint/optimizer.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 18902665
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2293d88d98f828cbe4a946026612cd50501947c3bd34d9b282bf23bdc0009488
|
| 3 |
size 18902665
|
last-checkpoint/rng_state.pth
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 14575
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e6c460c6d5170c5ca51901a3283076152befcb7567f2f2de0b955f1db311a891
|
| 3 |
size 14575
|
last-checkpoint/scheduler.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 627
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:216f76b8039f833c337db298c81f13b12082d5fd4f9d866cecd34b2ca7550b37
|
| 3 |
size 627
|
last-checkpoint/tokenizer.json
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 sha256:17a208233d2ee8d8c83b23bc214df737c44806a1919f444e89b31e586cd956ba
|
| 3 |
+
size 14500471
|
last-checkpoint/trainer_state.json
CHANGED
|
@@ -1,9 +1,9 @@
|
|
| 1 |
{
|
| 2 |
-
"best_metric":
|
| 3 |
-
"best_model_checkpoint": "./outputs/checkpoint-
|
| 4 |
-
"epoch":
|
| 5 |
"eval_steps": 100,
|
| 6 |
-
"global_step":
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
"is_world_process_zero": true,
|
|
@@ -11,583 +11,23 @@
|
|
| 11 |
{
|
| 12 |
"epoch": 0.07,
|
| 13 |
"learning_rate": 0.0002,
|
| 14 |
-
"loss": 2.
|
| 15 |
"step": 100
|
| 16 |
},
|
| 17 |
{
|
| 18 |
"epoch": 0.07,
|
| 19 |
-
"eval_loss": 2.
|
| 20 |
-
"eval_runtime":
|
| 21 |
-
"eval_samples_per_second":
|
| 22 |
-
"eval_steps_per_second": 3.
|
| 23 |
"step": 100
|
| 24 |
-
},
|
| 25 |
-
{
|
| 26 |
-
"epoch": 0.15,
|
| 27 |
-
"learning_rate": 0.0002,
|
| 28 |
-
"loss": 2.5807,
|
| 29 |
-
"step": 200
|
| 30 |
-
},
|
| 31 |
-
{
|
| 32 |
-
"epoch": 0.15,
|
| 33 |
-
"eval_loss": 2.566875696182251,
|
| 34 |
-
"eval_runtime": 206.05,
|
| 35 |
-
"eval_samples_per_second": 30.449,
|
| 36 |
-
"eval_steps_per_second": 3.81,
|
| 37 |
-
"step": 200
|
| 38 |
-
},
|
| 39 |
-
{
|
| 40 |
-
"epoch": 0.22,
|
| 41 |
-
"learning_rate": 0.0002,
|
| 42 |
-
"loss": 2.5403,
|
| 43 |
-
"step": 300
|
| 44 |
-
},
|
| 45 |
-
{
|
| 46 |
-
"epoch": 0.22,
|
| 47 |
-
"eval_loss": 2.531456708908081,
|
| 48 |
-
"eval_runtime": 205.7527,
|
| 49 |
-
"eval_samples_per_second": 30.493,
|
| 50 |
-
"eval_steps_per_second": 3.815,
|
| 51 |
-
"step": 300
|
| 52 |
-
},
|
| 53 |
-
{
|
| 54 |
-
"epoch": 0.29,
|
| 55 |
-
"learning_rate": 0.0002,
|
| 56 |
-
"loss": 2.5135,
|
| 57 |
-
"step": 400
|
| 58 |
-
},
|
| 59 |
-
{
|
| 60 |
-
"epoch": 0.29,
|
| 61 |
-
"eval_loss": 2.4987542629241943,
|
| 62 |
-
"eval_runtime": 205.7584,
|
| 63 |
-
"eval_samples_per_second": 30.492,
|
| 64 |
-
"eval_steps_per_second": 3.815,
|
| 65 |
-
"step": 400
|
| 66 |
-
},
|
| 67 |
-
{
|
| 68 |
-
"epoch": 0.36,
|
| 69 |
-
"learning_rate": 0.0002,
|
| 70 |
-
"loss": 2.4703,
|
| 71 |
-
"step": 500
|
| 72 |
-
},
|
| 73 |
-
{
|
| 74 |
-
"epoch": 0.36,
|
| 75 |
-
"eval_loss": 2.4730148315429688,
|
| 76 |
-
"eval_runtime": 205.8153,
|
| 77 |
-
"eval_samples_per_second": 30.484,
|
| 78 |
-
"eval_steps_per_second": 3.814,
|
| 79 |
-
"step": 500
|
| 80 |
-
},
|
| 81 |
-
{
|
| 82 |
-
"epoch": 0.44,
|
| 83 |
-
"learning_rate": 0.0002,
|
| 84 |
-
"loss": 2.4449,
|
| 85 |
-
"step": 600
|
| 86 |
-
},
|
| 87 |
-
{
|
| 88 |
-
"epoch": 0.44,
|
| 89 |
-
"eval_loss": 2.4445066452026367,
|
| 90 |
-
"eval_runtime": 205.9496,
|
| 91 |
-
"eval_samples_per_second": 30.464,
|
| 92 |
-
"eval_steps_per_second": 3.812,
|
| 93 |
-
"step": 600
|
| 94 |
-
},
|
| 95 |
-
{
|
| 96 |
-
"epoch": 0.51,
|
| 97 |
-
"learning_rate": 0.0002,
|
| 98 |
-
"loss": 2.4265,
|
| 99 |
-
"step": 700
|
| 100 |
-
},
|
| 101 |
-
{
|
| 102 |
-
"epoch": 0.51,
|
| 103 |
-
"eval_loss": 2.421610116958618,
|
| 104 |
-
"eval_runtime": 206.1548,
|
| 105 |
-
"eval_samples_per_second": 30.433,
|
| 106 |
-
"eval_steps_per_second": 3.808,
|
| 107 |
-
"step": 700
|
| 108 |
-
},
|
| 109 |
-
{
|
| 110 |
-
"epoch": 0.58,
|
| 111 |
-
"learning_rate": 0.0002,
|
| 112 |
-
"loss": 2.4059,
|
| 113 |
-
"step": 800
|
| 114 |
-
},
|
| 115 |
-
{
|
| 116 |
-
"epoch": 0.58,
|
| 117 |
-
"eval_loss": 2.401268720626831,
|
| 118 |
-
"eval_runtime": 206.1413,
|
| 119 |
-
"eval_samples_per_second": 30.435,
|
| 120 |
-
"eval_steps_per_second": 3.808,
|
| 121 |
-
"step": 800
|
| 122 |
-
},
|
| 123 |
-
{
|
| 124 |
-
"epoch": 0.66,
|
| 125 |
-
"learning_rate": 0.0002,
|
| 126 |
-
"loss": 2.3694,
|
| 127 |
-
"step": 900
|
| 128 |
-
},
|
| 129 |
-
{
|
| 130 |
-
"epoch": 0.66,
|
| 131 |
-
"eval_loss": 2.3795337677001953,
|
| 132 |
-
"eval_runtime": 206.144,
|
| 133 |
-
"eval_samples_per_second": 30.435,
|
| 134 |
-
"eval_steps_per_second": 3.808,
|
| 135 |
-
"step": 900
|
| 136 |
-
},
|
| 137 |
-
{
|
| 138 |
-
"epoch": 0.73,
|
| 139 |
-
"learning_rate": 0.0002,
|
| 140 |
-
"loss": 2.3664,
|
| 141 |
-
"step": 1000
|
| 142 |
-
},
|
| 143 |
-
{
|
| 144 |
-
"epoch": 0.73,
|
| 145 |
-
"eval_loss": 2.3618950843811035,
|
| 146 |
-
"eval_runtime": 205.9336,
|
| 147 |
-
"eval_samples_per_second": 30.466,
|
| 148 |
-
"eval_steps_per_second": 3.812,
|
| 149 |
-
"step": 1000
|
| 150 |
-
},
|
| 151 |
-
{
|
| 152 |
-
"epoch": 0.8,
|
| 153 |
-
"learning_rate": 0.0002,
|
| 154 |
-
"loss": 2.3599,
|
| 155 |
-
"step": 1100
|
| 156 |
-
},
|
| 157 |
-
{
|
| 158 |
-
"epoch": 0.8,
|
| 159 |
-
"eval_loss": 2.338806390762329,
|
| 160 |
-
"eval_runtime": 205.8736,
|
| 161 |
-
"eval_samples_per_second": 30.475,
|
| 162 |
-
"eval_steps_per_second": 3.813,
|
| 163 |
-
"step": 1100
|
| 164 |
-
},
|
| 165 |
-
{
|
| 166 |
-
"epoch": 0.87,
|
| 167 |
-
"learning_rate": 0.0002,
|
| 168 |
-
"loss": 2.3162,
|
| 169 |
-
"step": 1200
|
| 170 |
-
},
|
| 171 |
-
{
|
| 172 |
-
"epoch": 0.87,
|
| 173 |
-
"eval_loss": 2.3209476470947266,
|
| 174 |
-
"eval_runtime": 206.0155,
|
| 175 |
-
"eval_samples_per_second": 30.454,
|
| 176 |
-
"eval_steps_per_second": 3.81,
|
| 177 |
-
"step": 1200
|
| 178 |
-
},
|
| 179 |
-
{
|
| 180 |
-
"epoch": 0.95,
|
| 181 |
-
"learning_rate": 0.0002,
|
| 182 |
-
"loss": 2.3272,
|
| 183 |
-
"step": 1300
|
| 184 |
-
},
|
| 185 |
-
{
|
| 186 |
-
"epoch": 0.95,
|
| 187 |
-
"eval_loss": 2.3050100803375244,
|
| 188 |
-
"eval_runtime": 205.8768,
|
| 189 |
-
"eval_samples_per_second": 30.475,
|
| 190 |
-
"eval_steps_per_second": 3.813,
|
| 191 |
-
"step": 1300
|
| 192 |
-
},
|
| 193 |
-
{
|
| 194 |
-
"epoch": 1.02,
|
| 195 |
-
"learning_rate": 0.0002,
|
| 196 |
-
"loss": 2.2787,
|
| 197 |
-
"step": 1400
|
| 198 |
-
},
|
| 199 |
-
{
|
| 200 |
-
"epoch": 1.02,
|
| 201 |
-
"eval_loss": 2.2802278995513916,
|
| 202 |
-
"eval_runtime": 206.0479,
|
| 203 |
-
"eval_samples_per_second": 30.449,
|
| 204 |
-
"eval_steps_per_second": 3.81,
|
| 205 |
-
"step": 1400
|
| 206 |
-
},
|
| 207 |
-
{
|
| 208 |
-
"epoch": 1.09,
|
| 209 |
-
"learning_rate": 0.0002,
|
| 210 |
-
"loss": 2.2387,
|
| 211 |
-
"step": 1500
|
| 212 |
-
},
|
| 213 |
-
{
|
| 214 |
-
"epoch": 1.09,
|
| 215 |
-
"eval_loss": 2.263134479522705,
|
| 216 |
-
"eval_runtime": 205.9604,
|
| 217 |
-
"eval_samples_per_second": 30.462,
|
| 218 |
-
"eval_steps_per_second": 3.811,
|
| 219 |
-
"step": 1500
|
| 220 |
-
},
|
| 221 |
-
{
|
| 222 |
-
"epoch": 1.17,
|
| 223 |
-
"learning_rate": 0.0002,
|
| 224 |
-
"loss": 2.2303,
|
| 225 |
-
"step": 1600
|
| 226 |
-
},
|
| 227 |
-
{
|
| 228 |
-
"epoch": 1.17,
|
| 229 |
-
"eval_loss": 2.246272325515747,
|
| 230 |
-
"eval_runtime": 206.1382,
|
| 231 |
-
"eval_samples_per_second": 30.436,
|
| 232 |
-
"eval_steps_per_second": 3.808,
|
| 233 |
-
"step": 1600
|
| 234 |
-
},
|
| 235 |
-
{
|
| 236 |
-
"epoch": 1.24,
|
| 237 |
-
"learning_rate": 0.0002,
|
| 238 |
-
"loss": 2.2323,
|
| 239 |
-
"step": 1700
|
| 240 |
-
},
|
| 241 |
-
{
|
| 242 |
-
"epoch": 1.24,
|
| 243 |
-
"eval_loss": 2.231445789337158,
|
| 244 |
-
"eval_runtime": 205.9926,
|
| 245 |
-
"eval_samples_per_second": 30.457,
|
| 246 |
-
"eval_steps_per_second": 3.811,
|
| 247 |
-
"step": 1700
|
| 248 |
-
},
|
| 249 |
-
{
|
| 250 |
-
"epoch": 1.31,
|
| 251 |
-
"learning_rate": 0.0002,
|
| 252 |
-
"loss": 2.193,
|
| 253 |
-
"step": 1800
|
| 254 |
-
},
|
| 255 |
-
{
|
| 256 |
-
"epoch": 1.31,
|
| 257 |
-
"eval_loss": 2.2156155109405518,
|
| 258 |
-
"eval_runtime": 217.8526,
|
| 259 |
-
"eval_samples_per_second": 28.799,
|
| 260 |
-
"eval_steps_per_second": 3.603,
|
| 261 |
-
"step": 1800
|
| 262 |
-
},
|
| 263 |
-
{
|
| 264 |
-
"epoch": 1.38,
|
| 265 |
-
"learning_rate": 0.0002,
|
| 266 |
-
"loss": 2.1776,
|
| 267 |
-
"step": 1900
|
| 268 |
-
},
|
| 269 |
-
{
|
| 270 |
-
"epoch": 1.38,
|
| 271 |
-
"eval_loss": 2.202601909637451,
|
| 272 |
-
"eval_runtime": 529.3371,
|
| 273 |
-
"eval_samples_per_second": 11.853,
|
| 274 |
-
"eval_steps_per_second": 1.483,
|
| 275 |
-
"step": 1900
|
| 276 |
-
},
|
| 277 |
-
{
|
| 278 |
-
"epoch": 1.46,
|
| 279 |
-
"learning_rate": 0.0002,
|
| 280 |
-
"loss": 2.1728,
|
| 281 |
-
"step": 2000
|
| 282 |
-
},
|
| 283 |
-
{
|
| 284 |
-
"epoch": 1.46,
|
| 285 |
-
"eval_loss": 2.1862785816192627,
|
| 286 |
-
"eval_runtime": 232.6763,
|
| 287 |
-
"eval_samples_per_second": 26.965,
|
| 288 |
-
"eval_steps_per_second": 3.374,
|
| 289 |
-
"step": 2000
|
| 290 |
-
},
|
| 291 |
-
{
|
| 292 |
-
"epoch": 1.53,
|
| 293 |
-
"learning_rate": 0.0002,
|
| 294 |
-
"loss": 2.1562,
|
| 295 |
-
"step": 2100
|
| 296 |
-
},
|
| 297 |
-
{
|
| 298 |
-
"epoch": 1.53,
|
| 299 |
-
"eval_loss": 2.174529552459717,
|
| 300 |
-
"eval_runtime": 205.9758,
|
| 301 |
-
"eval_samples_per_second": 30.46,
|
| 302 |
-
"eval_steps_per_second": 3.811,
|
| 303 |
-
"step": 2100
|
| 304 |
-
},
|
| 305 |
-
{
|
| 306 |
-
"epoch": 1.6,
|
| 307 |
-
"learning_rate": 0.0002,
|
| 308 |
-
"loss": 2.1386,
|
| 309 |
-
"step": 2200
|
| 310 |
-
},
|
| 311 |
-
{
|
| 312 |
-
"epoch": 1.6,
|
| 313 |
-
"eval_loss": 2.1577847003936768,
|
| 314 |
-
"eval_runtime": 206.4236,
|
| 315 |
-
"eval_samples_per_second": 30.394,
|
| 316 |
-
"eval_steps_per_second": 3.803,
|
| 317 |
-
"step": 2200
|
| 318 |
-
},
|
| 319 |
-
{
|
| 320 |
-
"epoch": 1.68,
|
| 321 |
-
"learning_rate": 0.0002,
|
| 322 |
-
"loss": 2.1296,
|
| 323 |
-
"step": 2300
|
| 324 |
-
},
|
| 325 |
-
{
|
| 326 |
-
"epoch": 1.68,
|
| 327 |
-
"eval_loss": 2.147472858428955,
|
| 328 |
-
"eval_runtime": 206.3739,
|
| 329 |
-
"eval_samples_per_second": 30.401,
|
| 330 |
-
"eval_steps_per_second": 3.804,
|
| 331 |
-
"step": 2300
|
| 332 |
-
},
|
| 333 |
-
{
|
| 334 |
-
"epoch": 1.75,
|
| 335 |
-
"learning_rate": 0.0002,
|
| 336 |
-
"loss": 2.1374,
|
| 337 |
-
"step": 2400
|
| 338 |
-
},
|
| 339 |
-
{
|
| 340 |
-
"epoch": 1.75,
|
| 341 |
-
"eval_loss": 2.135169506072998,
|
| 342 |
-
"eval_runtime": 206.2542,
|
| 343 |
-
"eval_samples_per_second": 30.419,
|
| 344 |
-
"eval_steps_per_second": 3.806,
|
| 345 |
-
"step": 2400
|
| 346 |
-
},
|
| 347 |
-
{
|
| 348 |
-
"epoch": 1.82,
|
| 349 |
-
"learning_rate": 0.0002,
|
| 350 |
-
"loss": 2.1035,
|
| 351 |
-
"step": 2500
|
| 352 |
-
},
|
| 353 |
-
{
|
| 354 |
-
"epoch": 1.82,
|
| 355 |
-
"eval_loss": 2.1208178997039795,
|
| 356 |
-
"eval_runtime": 205.9676,
|
| 357 |
-
"eval_samples_per_second": 30.461,
|
| 358 |
-
"eval_steps_per_second": 3.811,
|
| 359 |
-
"step": 2500
|
| 360 |
-
},
|
| 361 |
-
{
|
| 362 |
-
"epoch": 1.89,
|
| 363 |
-
"learning_rate": 0.0002,
|
| 364 |
-
"loss": 2.1034,
|
| 365 |
-
"step": 2600
|
| 366 |
-
},
|
| 367 |
-
{
|
| 368 |
-
"epoch": 1.89,
|
| 369 |
-
"eval_loss": 2.1102426052093506,
|
| 370 |
-
"eval_runtime": 217.9461,
|
| 371 |
-
"eval_samples_per_second": 28.787,
|
| 372 |
-
"eval_steps_per_second": 3.602,
|
| 373 |
-
"step": 2600
|
| 374 |
-
},
|
| 375 |
-
{
|
| 376 |
-
"epoch": 1.97,
|
| 377 |
-
"learning_rate": 0.0002,
|
| 378 |
-
"loss": 2.0912,
|
| 379 |
-
"step": 2700
|
| 380 |
-
},
|
| 381 |
-
{
|
| 382 |
-
"epoch": 1.97,
|
| 383 |
-
"eval_loss": 2.0947265625,
|
| 384 |
-
"eval_runtime": 732.5061,
|
| 385 |
-
"eval_samples_per_second": 8.565,
|
| 386 |
-
"eval_steps_per_second": 1.072,
|
| 387 |
-
"step": 2700
|
| 388 |
-
},
|
| 389 |
-
{
|
| 390 |
-
"epoch": 2.04,
|
| 391 |
-
"learning_rate": 0.0002,
|
| 392 |
-
"loss": 2.0451,
|
| 393 |
-
"step": 2800
|
| 394 |
-
},
|
| 395 |
-
{
|
| 396 |
-
"epoch": 2.04,
|
| 397 |
-
"eval_loss": 2.0868542194366455,
|
| 398 |
-
"eval_runtime": 206.5812,
|
| 399 |
-
"eval_samples_per_second": 30.371,
|
| 400 |
-
"eval_steps_per_second": 3.8,
|
| 401 |
-
"step": 2800
|
| 402 |
-
},
|
| 403 |
-
{
|
| 404 |
-
"epoch": 2.11,
|
| 405 |
-
"learning_rate": 0.0002,
|
| 406 |
-
"loss": 2.0179,
|
| 407 |
-
"step": 2900
|
| 408 |
-
},
|
| 409 |
-
{
|
| 410 |
-
"epoch": 2.11,
|
| 411 |
-
"eval_loss": 2.074641227722168,
|
| 412 |
-
"eval_runtime": 206.384,
|
| 413 |
-
"eval_samples_per_second": 30.4,
|
| 414 |
-
"eval_steps_per_second": 3.804,
|
| 415 |
-
"step": 2900
|
| 416 |
-
},
|
| 417 |
-
{
|
| 418 |
-
"epoch": 2.19,
|
| 419 |
-
"learning_rate": 0.0002,
|
| 420 |
-
"loss": 2.0386,
|
| 421 |
-
"step": 3000
|
| 422 |
-
},
|
| 423 |
-
{
|
| 424 |
-
"epoch": 2.19,
|
| 425 |
-
"eval_loss": 2.0661864280700684,
|
| 426 |
-
"eval_runtime": 206.2191,
|
| 427 |
-
"eval_samples_per_second": 30.424,
|
| 428 |
-
"eval_steps_per_second": 3.807,
|
| 429 |
-
"step": 3000
|
| 430 |
-
},
|
| 431 |
-
{
|
| 432 |
-
"epoch": 2.26,
|
| 433 |
-
"learning_rate": 0.0002,
|
| 434 |
-
"loss": 2.0078,
|
| 435 |
-
"step": 3100
|
| 436 |
-
},
|
| 437 |
-
{
|
| 438 |
-
"epoch": 2.26,
|
| 439 |
-
"eval_loss": 2.05454158782959,
|
| 440 |
-
"eval_runtime": 206.3207,
|
| 441 |
-
"eval_samples_per_second": 30.409,
|
| 442 |
-
"eval_steps_per_second": 3.805,
|
| 443 |
-
"step": 3100
|
| 444 |
-
},
|
| 445 |
-
{
|
| 446 |
-
"epoch": 2.33,
|
| 447 |
-
"learning_rate": 0.0002,
|
| 448 |
-
"loss": 2.0222,
|
| 449 |
-
"step": 3200
|
| 450 |
-
},
|
| 451 |
-
{
|
| 452 |
-
"epoch": 2.33,
|
| 453 |
-
"eval_loss": 2.0429155826568604,
|
| 454 |
-
"eval_runtime": 207.289,
|
| 455 |
-
"eval_samples_per_second": 30.267,
|
| 456 |
-
"eval_steps_per_second": 3.787,
|
| 457 |
-
"step": 3200
|
| 458 |
-
},
|
| 459 |
-
{
|
| 460 |
-
"epoch": 2.4,
|
| 461 |
-
"learning_rate": 0.0002,
|
| 462 |
-
"loss": 1.9896,
|
| 463 |
-
"step": 3300
|
| 464 |
-
},
|
| 465 |
-
{
|
| 466 |
-
"epoch": 2.4,
|
| 467 |
-
"eval_loss": 2.031524896621704,
|
| 468 |
-
"eval_runtime": 254.9126,
|
| 469 |
-
"eval_samples_per_second": 24.612,
|
| 470 |
-
"eval_steps_per_second": 3.079,
|
| 471 |
-
"step": 3300
|
| 472 |
-
},
|
| 473 |
-
{
|
| 474 |
-
"epoch": 2.48,
|
| 475 |
-
"learning_rate": 0.0002,
|
| 476 |
-
"loss": 1.9847,
|
| 477 |
-
"step": 3400
|
| 478 |
-
},
|
| 479 |
-
{
|
| 480 |
-
"epoch": 2.48,
|
| 481 |
-
"eval_loss": 2.02608060836792,
|
| 482 |
-
"eval_runtime": 206.1634,
|
| 483 |
-
"eval_samples_per_second": 30.432,
|
| 484 |
-
"eval_steps_per_second": 3.808,
|
| 485 |
-
"step": 3400
|
| 486 |
-
},
|
| 487 |
-
{
|
| 488 |
-
"epoch": 2.55,
|
| 489 |
-
"learning_rate": 0.0002,
|
| 490 |
-
"loss": 1.9801,
|
| 491 |
-
"step": 3500
|
| 492 |
-
},
|
| 493 |
-
{
|
| 494 |
-
"epoch": 2.55,
|
| 495 |
-
"eval_loss": 2.013916492462158,
|
| 496 |
-
"eval_runtime": 215.475,
|
| 497 |
-
"eval_samples_per_second": 29.117,
|
| 498 |
-
"eval_steps_per_second": 3.643,
|
| 499 |
-
"step": 3500
|
| 500 |
-
},
|
| 501 |
-
{
|
| 502 |
-
"epoch": 2.62,
|
| 503 |
-
"learning_rate": 0.0002,
|
| 504 |
-
"loss": 1.9764,
|
| 505 |
-
"step": 3600
|
| 506 |
-
},
|
| 507 |
-
{
|
| 508 |
-
"epoch": 2.62,
|
| 509 |
-
"eval_loss": 2.0044028759002686,
|
| 510 |
-
"eval_runtime": 208.9999,
|
| 511 |
-
"eval_samples_per_second": 30.019,
|
| 512 |
-
"eval_steps_per_second": 3.756,
|
| 513 |
-
"step": 3600
|
| 514 |
-
},
|
| 515 |
-
{
|
| 516 |
-
"epoch": 2.7,
|
| 517 |
-
"learning_rate": 0.0002,
|
| 518 |
-
"loss": 1.9572,
|
| 519 |
-
"step": 3700
|
| 520 |
-
},
|
| 521 |
-
{
|
| 522 |
-
"epoch": 2.7,
|
| 523 |
-
"eval_loss": 1.994431972503662,
|
| 524 |
-
"eval_runtime": 209.7442,
|
| 525 |
-
"eval_samples_per_second": 29.913,
|
| 526 |
-
"eval_steps_per_second": 3.743,
|
| 527 |
-
"step": 3700
|
| 528 |
-
},
|
| 529 |
-
{
|
| 530 |
-
"epoch": 2.77,
|
| 531 |
-
"learning_rate": 0.0002,
|
| 532 |
-
"loss": 1.9505,
|
| 533 |
-
"step": 3800
|
| 534 |
-
},
|
| 535 |
-
{
|
| 536 |
-
"epoch": 2.77,
|
| 537 |
-
"eval_loss": 1.9890899658203125,
|
| 538 |
-
"eval_runtime": 225.3887,
|
| 539 |
-
"eval_samples_per_second": 27.836,
|
| 540 |
-
"eval_steps_per_second": 3.483,
|
| 541 |
-
"step": 3800
|
| 542 |
-
},
|
| 543 |
-
{
|
| 544 |
-
"epoch": 2.84,
|
| 545 |
-
"learning_rate": 0.0002,
|
| 546 |
-
"loss": 1.9371,
|
| 547 |
-
"step": 3900
|
| 548 |
-
},
|
| 549 |
-
{
|
| 550 |
-
"epoch": 2.84,
|
| 551 |
-
"eval_loss": 1.9771522283554077,
|
| 552 |
-
"eval_runtime": 216.1751,
|
| 553 |
-
"eval_samples_per_second": 29.023,
|
| 554 |
-
"eval_steps_per_second": 3.631,
|
| 555 |
-
"step": 3900
|
| 556 |
-
},
|
| 557 |
-
{
|
| 558 |
-
"epoch": 2.91,
|
| 559 |
-
"learning_rate": 0.0002,
|
| 560 |
-
"loss": 1.9399,
|
| 561 |
-
"step": 4000
|
| 562 |
-
},
|
| 563 |
-
{
|
| 564 |
-
"epoch": 2.91,
|
| 565 |
-
"eval_loss": 1.9712703227996826,
|
| 566 |
-
"eval_runtime": 210.5398,
|
| 567 |
-
"eval_samples_per_second": 29.8,
|
| 568 |
-
"eval_steps_per_second": 3.729,
|
| 569 |
-
"step": 4000
|
| 570 |
-
},
|
| 571 |
-
{
|
| 572 |
-
"epoch": 2.99,
|
| 573 |
-
"learning_rate": 0.0002,
|
| 574 |
-
"loss": 1.9391,
|
| 575 |
-
"step": 4100
|
| 576 |
-
},
|
| 577 |
-
{
|
| 578 |
-
"epoch": 2.99,
|
| 579 |
-
"eval_loss": 1.9589763879776,
|
| 580 |
-
"eval_runtime": 209.0465,
|
| 581 |
-
"eval_samples_per_second": 30.012,
|
| 582 |
-
"eval_steps_per_second": 3.755,
|
| 583 |
-
"step": 4100
|
| 584 |
}
|
| 585 |
],
|
| 586 |
"logging_steps": 100,
|
| 587 |
"max_steps": 4116,
|
| 588 |
"num_train_epochs": 3,
|
| 589 |
"save_steps": 100,
|
| 590 |
-
"total_flos":
|
| 591 |
"trial_name": null,
|
| 592 |
"trial_params": null
|
| 593 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"best_metric": 2.617887258529663,
|
| 3 |
+
"best_model_checkpoint": "./outputs/checkpoint-100",
|
| 4 |
+
"epoch": 0.07285974499089254,
|
| 5 |
"eval_steps": 100,
|
| 6 |
+
"global_step": 100,
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
"is_world_process_zero": true,
|
|
|
|
| 11 |
{
|
| 12 |
"epoch": 0.07,
|
| 13 |
"learning_rate": 0.0002,
|
| 14 |
+
"loss": 2.7194,
|
| 15 |
"step": 100
|
| 16 |
},
|
| 17 |
{
|
| 18 |
"epoch": 0.07,
|
| 19 |
+
"eval_loss": 2.617887258529663,
|
| 20 |
+
"eval_runtime": 205.5207,
|
| 21 |
+
"eval_samples_per_second": 30.527,
|
| 22 |
+
"eval_steps_per_second": 3.82,
|
| 23 |
"step": 100
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 24 |
}
|
| 25 |
],
|
| 26 |
"logging_steps": 100,
|
| 27 |
"max_steps": 4116,
|
| 28 |
"num_train_epochs": 3,
|
| 29 |
"save_steps": 100,
|
| 30 |
+
"total_flos": 2937068351078400.0,
|
| 31 |
"trial_name": null,
|
| 32 |
"trial_params": null
|
| 33 |
}
|
last-checkpoint/training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 4219
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c4999e1edbfadc2f9c07e5b329350779a22a0c3941f485c58cb352d3e4b3d3db
|
| 3 |
size 4219
|