ErrorAI commited on
Commit
11b0216
·
verified ·
1 Parent(s): 056d2bf

Training in progress, step 432, 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:e50b346ef69ca5a2e075a7aaae307b35eecde3df13750dc5e3d00510849e3efc
3
  size 104902272
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8edf954928558504b93bfb3e4f033216a145609a42234b29a989c3c883b50ec3
3
  size 104902272
last-checkpoint/optimizer.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:610e32b2829a393b8f6a3423b6ebbe5c72fd4771e0d0c96975e20ddd44852ae7
3
  size 53623316
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:93687bb4f1837302c1ceeebd9af6fb41fa620980d1257e9e5656bde270cd0ae0
3
  size 53623316
last-checkpoint/rng_state.pth CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:90927c6652aef1645509b309fc410bff0f3f2db3c5dab7577f62e614ccbd7372
3
  size 14244
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:76446eff5230a4e60854e86405b8835d56c7973a58b5062f70239e1d5d6d30f0
3
  size 14244
last-checkpoint/scheduler.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:4f128263953ca2a09f4f003eb0fed857449ba60827fbc4e98254990c91ece401
3
  size 1064
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:374f35b07890d49f71aa67dad27ce736c08a53c5162931168029848a987cb52d
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": 0.5019607843137255,
5
  "eval_steps": 500,
6
- "global_step": 288,
7
  "is_hyper_param_search": false,
8
  "is_local_process_zero": true,
9
  "is_world_process_zero": true,
@@ -2023,6 +2023,1014 @@
2023
  "learning_rate": 5.041408920127333e-05,
2024
  "loss": 5.8254,
2025
  "step": 288
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
2026
  }
2027
  ],
2028
  "logging_steps": 1,
@@ -2042,7 +3050,7 @@
2042
  "attributes": {}
2043
  }
2044
  },
2045
- "total_flos": 4.2165649765564416e+17,
2046
  "train_batch_size": 4,
2047
  "trial_name": null,
2048
  "trial_params": null
 
1
  {
2
  "best_metric": null,
3
  "best_model_checkpoint": null,
4
+ "epoch": 0.7529411764705882,
5
  "eval_steps": 500,
6
+ "global_step": 432,
7
  "is_hyper_param_search": false,
8
  "is_local_process_zero": true,
9
  "is_world_process_zero": true,
 
2023
  "learning_rate": 5.041408920127333e-05,
2024
  "loss": 5.8254,
2025
  "step": 288
2026
+ },
2027
+ {
2028
+ "epoch": 0.5037037037037037,
2029
+ "grad_norm": 3.46852445602417,
2030
+ "learning_rate": 5.013803113634513e-05,
2031
+ "loss": 6.0773,
2032
+ "step": 289
2033
+ },
2034
+ {
2035
+ "epoch": 0.5054466230936819,
2036
+ "grad_norm": 3.313955783843994,
2037
+ "learning_rate": 4.9861968863654875e-05,
2038
+ "loss": 6.0403,
2039
+ "step": 290
2040
+ },
2041
+ {
2042
+ "epoch": 0.5071895424836601,
2043
+ "grad_norm": 3.8740715980529785,
2044
+ "learning_rate": 4.9585910798726675e-05,
2045
+ "loss": 5.9903,
2046
+ "step": 291
2047
+ },
2048
+ {
2049
+ "epoch": 0.5089324618736384,
2050
+ "grad_norm": 3.757556200027466,
2051
+ "learning_rate": 4.930986535695636e-05,
2052
+ "loss": 6.2896,
2053
+ "step": 292
2054
+ },
2055
+ {
2056
+ "epoch": 0.5106753812636166,
2057
+ "grad_norm": 3.6889286041259766,
2058
+ "learning_rate": 4.903384095335496e-05,
2059
+ "loss": 5.8151,
2060
+ "step": 293
2061
+ },
2062
+ {
2063
+ "epoch": 0.5124183006535947,
2064
+ "grad_norm": 4.151840686798096,
2065
+ "learning_rate": 4.875784600229219e-05,
2066
+ "loss": 6.2659,
2067
+ "step": 294
2068
+ },
2069
+ {
2070
+ "epoch": 0.514161220043573,
2071
+ "grad_norm": 4.211326599121094,
2072
+ "learning_rate": 4.84818889172399e-05,
2073
+ "loss": 6.1899,
2074
+ "step": 295
2075
+ },
2076
+ {
2077
+ "epoch": 0.5159041394335512,
2078
+ "grad_norm": 4.54414176940918,
2079
+ "learning_rate": 4.820597811051563e-05,
2080
+ "loss": 6.2132,
2081
+ "step": 296
2082
+ },
2083
+ {
2084
+ "epoch": 0.5176470588235295,
2085
+ "grad_norm": 4.429652214050293,
2086
+ "learning_rate": 4.793012199302619e-05,
2087
+ "loss": 5.5246,
2088
+ "step": 297
2089
+ },
2090
+ {
2091
+ "epoch": 0.5193899782135076,
2092
+ "grad_norm": 4.5998215675354,
2093
+ "learning_rate": 4.7654328974011215e-05,
2094
+ "loss": 5.3552,
2095
+ "step": 298
2096
+ },
2097
+ {
2098
+ "epoch": 0.5211328976034858,
2099
+ "grad_norm": 5.3889360427856445,
2100
+ "learning_rate": 4.737860746078682e-05,
2101
+ "loss": 6.4514,
2102
+ "step": 299
2103
+ },
2104
+ {
2105
+ "epoch": 0.5228758169934641,
2106
+ "grad_norm": 7.492801189422607,
2107
+ "learning_rate": 4.7102965858489377e-05,
2108
+ "loss": 6.5814,
2109
+ "step": 300
2110
+ },
2111
+ {
2112
+ "epoch": 0.5246187363834423,
2113
+ "grad_norm": 4.071569919586182,
2114
+ "learning_rate": 4.682741256981922e-05,
2115
+ "loss": 6.7165,
2116
+ "step": 301
2117
+ },
2118
+ {
2119
+ "epoch": 0.5263616557734205,
2120
+ "grad_norm": 4.44246768951416,
2121
+ "learning_rate": 4.6551955994784476e-05,
2122
+ "loss": 6.2602,
2123
+ "step": 302
2124
+ },
2125
+ {
2126
+ "epoch": 0.5281045751633987,
2127
+ "grad_norm": 4.112141132354736,
2128
+ "learning_rate": 4.627660453044508e-05,
2129
+ "loss": 6.4776,
2130
+ "step": 303
2131
+ },
2132
+ {
2133
+ "epoch": 0.5298474945533769,
2134
+ "grad_norm": 3.4108433723449707,
2135
+ "learning_rate": 4.600136657065677e-05,
2136
+ "loss": 6.7222,
2137
+ "step": 304
2138
+ },
2139
+ {
2140
+ "epoch": 0.5315904139433552,
2141
+ "grad_norm": 2.8327457904815674,
2142
+ "learning_rate": 4.572625050581516e-05,
2143
+ "loss": 6.1231,
2144
+ "step": 305
2145
+ },
2146
+ {
2147
+ "epoch": 0.5333333333333333,
2148
+ "grad_norm": 2.671339750289917,
2149
+ "learning_rate": 4.5451264722600004e-05,
2150
+ "loss": 6.5039,
2151
+ "step": 306
2152
+ },
2153
+ {
2154
+ "epoch": 0.5350762527233115,
2155
+ "grad_norm": 2.57826566696167,
2156
+ "learning_rate": 4.517641760371955e-05,
2157
+ "loss": 6.6876,
2158
+ "step": 307
2159
+ },
2160
+ {
2161
+ "epoch": 0.5368191721132898,
2162
+ "grad_norm": 2.4179985523223877,
2163
+ "learning_rate": 4.490171752765494e-05,
2164
+ "loss": 6.523,
2165
+ "step": 308
2166
+ },
2167
+ {
2168
+ "epoch": 0.538562091503268,
2169
+ "grad_norm": 2.155496835708618,
2170
+ "learning_rate": 4.4627172868404925e-05,
2171
+ "loss": 6.106,
2172
+ "step": 309
2173
+ },
2174
+ {
2175
+ "epoch": 0.5403050108932462,
2176
+ "grad_norm": 2.359637975692749,
2177
+ "learning_rate": 4.435279199523043e-05,
2178
+ "loss": 6.3867,
2179
+ "step": 310
2180
+ },
2181
+ {
2182
+ "epoch": 0.5420479302832244,
2183
+ "grad_norm": 2.521045207977295,
2184
+ "learning_rate": 4.4078583272399516e-05,
2185
+ "loss": 5.9621,
2186
+ "step": 311
2187
+ },
2188
+ {
2189
+ "epoch": 0.5437908496732026,
2190
+ "grad_norm": 2.3839895725250244,
2191
+ "learning_rate": 4.38045550589324e-05,
2192
+ "loss": 6.1734,
2193
+ "step": 312
2194
+ },
2195
+ {
2196
+ "epoch": 0.5455337690631809,
2197
+ "grad_norm": 2.331204414367676,
2198
+ "learning_rate": 4.353071570834662e-05,
2199
+ "loss": 6.1698,
2200
+ "step": 313
2201
+ },
2202
+ {
2203
+ "epoch": 0.547276688453159,
2204
+ "grad_norm": 2.23482346534729,
2205
+ "learning_rate": 4.3257073568402376e-05,
2206
+ "loss": 5.8396,
2207
+ "step": 314
2208
+ },
2209
+ {
2210
+ "epoch": 0.5490196078431373,
2211
+ "grad_norm": 2.3547494411468506,
2212
+ "learning_rate": 4.298363698084809e-05,
2213
+ "loss": 6.1464,
2214
+ "step": 315
2215
+ },
2216
+ {
2217
+ "epoch": 0.5507625272331155,
2218
+ "grad_norm": 2.7615067958831787,
2219
+ "learning_rate": 4.271041428116608e-05,
2220
+ "loss": 6.2368,
2221
+ "step": 316
2222
+ },
2223
+ {
2224
+ "epoch": 0.5525054466230936,
2225
+ "grad_norm": 2.349308490753174,
2226
+ "learning_rate": 4.243741379831848e-05,
2227
+ "loss": 6.1397,
2228
+ "step": 317
2229
+ },
2230
+ {
2231
+ "epoch": 0.5542483660130719,
2232
+ "grad_norm": 2.9273488521575928,
2233
+ "learning_rate": 4.216464385449335e-05,
2234
+ "loss": 5.7099,
2235
+ "step": 318
2236
+ },
2237
+ {
2238
+ "epoch": 0.5559912854030501,
2239
+ "grad_norm": 2.588170289993286,
2240
+ "learning_rate": 4.189211276485093e-05,
2241
+ "loss": 6.173,
2242
+ "step": 319
2243
+ },
2244
+ {
2245
+ "epoch": 0.5577342047930284,
2246
+ "grad_norm": 2.5796093940734863,
2247
+ "learning_rate": 4.16198288372702e-05,
2248
+ "loss": 6.371,
2249
+ "step": 320
2250
+ },
2251
+ {
2252
+ "epoch": 0.5594771241830065,
2253
+ "grad_norm": 2.47575044631958,
2254
+ "learning_rate": 4.134780037209563e-05,
2255
+ "loss": 6.2689,
2256
+ "step": 321
2257
+ },
2258
+ {
2259
+ "epoch": 0.5612200435729847,
2260
+ "grad_norm": 2.668144941329956,
2261
+ "learning_rate": 4.107603566188412e-05,
2262
+ "loss": 6.1477,
2263
+ "step": 322
2264
+ },
2265
+ {
2266
+ "epoch": 0.562962962962963,
2267
+ "grad_norm": 2.58866548538208,
2268
+ "learning_rate": 4.080454299115224e-05,
2269
+ "loss": 5.9513,
2270
+ "step": 323
2271
+ },
2272
+ {
2273
+ "epoch": 0.5647058823529412,
2274
+ "grad_norm": 2.588249921798706,
2275
+ "learning_rate": 4.053333063612365e-05,
2276
+ "loss": 6.1205,
2277
+ "step": 324
2278
+ },
2279
+ {
2280
+ "epoch": 0.5664488017429193,
2281
+ "grad_norm": 2.637942314147949,
2282
+ "learning_rate": 4.026240686447682e-05,
2283
+ "loss": 5.8971,
2284
+ "step": 325
2285
+ },
2286
+ {
2287
+ "epoch": 0.5681917211328976,
2288
+ "grad_norm": 2.8684513568878174,
2289
+ "learning_rate": 3.9991779935093035e-05,
2290
+ "loss": 6.1472,
2291
+ "step": 326
2292
+ },
2293
+ {
2294
+ "epoch": 0.5699346405228758,
2295
+ "grad_norm": 2.8887667655944824,
2296
+ "learning_rate": 3.972145809780457e-05,
2297
+ "loss": 6.4613,
2298
+ "step": 327
2299
+ },
2300
+ {
2301
+ "epoch": 0.5716775599128541,
2302
+ "grad_norm": 2.7175791263580322,
2303
+ "learning_rate": 3.945144959314321e-05,
2304
+ "loss": 6.0686,
2305
+ "step": 328
2306
+ },
2307
+ {
2308
+ "epoch": 0.5734204793028322,
2309
+ "grad_norm": 2.9769113063812256,
2310
+ "learning_rate": 3.9181762652089115e-05,
2311
+ "loss": 6.1894,
2312
+ "step": 329
2313
+ },
2314
+ {
2315
+ "epoch": 0.5751633986928104,
2316
+ "grad_norm": 2.8220508098602295,
2317
+ "learning_rate": 3.8912405495819786e-05,
2318
+ "loss": 5.6237,
2319
+ "step": 330
2320
+ },
2321
+ {
2322
+ "epoch": 0.5769063180827887,
2323
+ "grad_norm": 3.080310821533203,
2324
+ "learning_rate": 3.864338633545956e-05,
2325
+ "loss": 5.8777,
2326
+ "step": 331
2327
+ },
2328
+ {
2329
+ "epoch": 0.5786492374727669,
2330
+ "grad_norm": 2.768021583557129,
2331
+ "learning_rate": 3.837471337182923e-05,
2332
+ "loss": 5.9109,
2333
+ "step": 332
2334
+ },
2335
+ {
2336
+ "epoch": 0.5803921568627451,
2337
+ "grad_norm": 3.0659565925598145,
2338
+ "learning_rate": 3.8106394795196085e-05,
2339
+ "loss": 5.5896,
2340
+ "step": 333
2341
+ },
2342
+ {
2343
+ "epoch": 0.5821350762527233,
2344
+ "grad_norm": 3.5265822410583496,
2345
+ "learning_rate": 3.783843878502422e-05,
2346
+ "loss": 6.3057,
2347
+ "step": 334
2348
+ },
2349
+ {
2350
+ "epoch": 0.5838779956427015,
2351
+ "grad_norm": 3.2464277744293213,
2352
+ "learning_rate": 3.757085350972523e-05,
2353
+ "loss": 6.5729,
2354
+ "step": 335
2355
+ },
2356
+ {
2357
+ "epoch": 0.5856209150326798,
2358
+ "grad_norm": 3.140838146209717,
2359
+ "learning_rate": 3.730364712640915e-05,
2360
+ "loss": 6.0387,
2361
+ "step": 336
2362
+ },
2363
+ {
2364
+ "epoch": 0.5873638344226579,
2365
+ "grad_norm": 3.3155360221862793,
2366
+ "learning_rate": 3.703682778063581e-05,
2367
+ "loss": 5.8154,
2368
+ "step": 337
2369
+ },
2370
+ {
2371
+ "epoch": 0.5891067538126362,
2372
+ "grad_norm": 3.295804262161255,
2373
+ "learning_rate": 3.6770403606166516e-05,
2374
+ "loss": 5.4747,
2375
+ "step": 338
2376
+ },
2377
+ {
2378
+ "epoch": 0.5908496732026144,
2379
+ "grad_norm": 3.4468038082122803,
2380
+ "learning_rate": 3.650438272471614e-05,
2381
+ "loss": 5.9762,
2382
+ "step": 339
2383
+ },
2384
+ {
2385
+ "epoch": 0.5925925925925926,
2386
+ "grad_norm": 3.5181455612182617,
2387
+ "learning_rate": 3.623877324570548e-05,
2388
+ "loss": 5.9973,
2389
+ "step": 340
2390
+ },
2391
+ {
2392
+ "epoch": 0.5943355119825708,
2393
+ "grad_norm": 3.8262414932250977,
2394
+ "learning_rate": 3.597358326601413e-05,
2395
+ "loss": 6.1401,
2396
+ "step": 341
2397
+ },
2398
+ {
2399
+ "epoch": 0.596078431372549,
2400
+ "grad_norm": 3.8463528156280518,
2401
+ "learning_rate": 3.570882086973355e-05,
2402
+ "loss": 5.7267,
2403
+ "step": 342
2404
+ },
2405
+ {
2406
+ "epoch": 0.5978213507625272,
2407
+ "grad_norm": 3.95530366897583,
2408
+ "learning_rate": 3.544449412792069e-05,
2409
+ "loss": 6.0974,
2410
+ "step": 343
2411
+ },
2412
+ {
2413
+ "epoch": 0.5995642701525055,
2414
+ "grad_norm": 4.1233439445495605,
2415
+ "learning_rate": 3.518061109835199e-05,
2416
+ "loss": 5.3623,
2417
+ "step": 344
2418
+ },
2419
+ {
2420
+ "epoch": 0.6013071895424836,
2421
+ "grad_norm": 4.098522186279297,
2422
+ "learning_rate": 3.491717982527765e-05,
2423
+ "loss": 5.8174,
2424
+ "step": 345
2425
+ },
2426
+ {
2427
+ "epoch": 0.6030501089324619,
2428
+ "grad_norm": 4.322263240814209,
2429
+ "learning_rate": 3.4654208339176474e-05,
2430
+ "loss": 6.0519,
2431
+ "step": 346
2432
+ },
2433
+ {
2434
+ "epoch": 0.6047930283224401,
2435
+ "grad_norm": 4.396242141723633,
2436
+ "learning_rate": 3.4391704656511035e-05,
2437
+ "loss": 5.6862,
2438
+ "step": 347
2439
+ },
2440
+ {
2441
+ "epoch": 0.6065359477124183,
2442
+ "grad_norm": 4.667327404022217,
2443
+ "learning_rate": 3.4129676779483344e-05,
2444
+ "loss": 5.9945,
2445
+ "step": 348
2446
+ },
2447
+ {
2448
+ "epoch": 0.6082788671023965,
2449
+ "grad_norm": 5.673772811889648,
2450
+ "learning_rate": 3.386813269579085e-05,
2451
+ "loss": 5.9577,
2452
+ "step": 349
2453
+ },
2454
+ {
2455
+ "epoch": 0.6100217864923747,
2456
+ "grad_norm": 7.139450550079346,
2457
+ "learning_rate": 3.3607080378383005e-05,
2458
+ "loss": 6.0682,
2459
+ "step": 350
2460
+ },
2461
+ {
2462
+ "epoch": 0.611764705882353,
2463
+ "grad_norm": 3.970557451248169,
2464
+ "learning_rate": 3.3346527785218127e-05,
2465
+ "loss": 6.1277,
2466
+ "step": 351
2467
+ },
2468
+ {
2469
+ "epoch": 0.6135076252723312,
2470
+ "grad_norm": 3.600226879119873,
2471
+ "learning_rate": 3.308648285902096e-05,
2472
+ "loss": 6.2035,
2473
+ "step": 352
2474
+ },
2475
+ {
2476
+ "epoch": 0.6152505446623093,
2477
+ "grad_norm": 3.8150582313537598,
2478
+ "learning_rate": 3.282695352704036e-05,
2479
+ "loss": 6.721,
2480
+ "step": 353
2481
+ },
2482
+ {
2483
+ "epoch": 0.6169934640522876,
2484
+ "grad_norm": 2.8972177505493164,
2485
+ "learning_rate": 3.256794770080778e-05,
2486
+ "loss": 6.3634,
2487
+ "step": 354
2488
+ },
2489
+ {
2490
+ "epoch": 0.6187363834422658,
2491
+ "grad_norm": 2.91469669342041,
2492
+ "learning_rate": 3.230947327589602e-05,
2493
+ "loss": 6.988,
2494
+ "step": 355
2495
+ },
2496
+ {
2497
+ "epoch": 0.6204793028322441,
2498
+ "grad_norm": 2.3781847953796387,
2499
+ "learning_rate": 3.2051538131678584e-05,
2500
+ "loss": 6.0219,
2501
+ "step": 356
2502
+ },
2503
+ {
2504
+ "epoch": 0.6222222222222222,
2505
+ "grad_norm": 2.3746273517608643,
2506
+ "learning_rate": 3.179415013108943e-05,
2507
+ "loss": 6.2648,
2508
+ "step": 357
2509
+ },
2510
+ {
2511
+ "epoch": 0.6239651416122004,
2512
+ "grad_norm": 2.353785991668701,
2513
+ "learning_rate": 3.1537317120383345e-05,
2514
+ "loss": 6.8266,
2515
+ "step": 358
2516
+ },
2517
+ {
2518
+ "epoch": 0.6257080610021787,
2519
+ "grad_norm": 2.4510021209716797,
2520
+ "learning_rate": 3.12810469288967e-05,
2521
+ "loss": 6.1016,
2522
+ "step": 359
2523
+ },
2524
+ {
2525
+ "epoch": 0.6274509803921569,
2526
+ "grad_norm": 2.2164430618286133,
2527
+ "learning_rate": 3.1025347368808775e-05,
2528
+ "loss": 6.1456,
2529
+ "step": 360
2530
+ },
2531
+ {
2532
+ "epoch": 0.629193899782135,
2533
+ "grad_norm": 2.3002395629882812,
2534
+ "learning_rate": 3.077022623490371e-05,
2535
+ "loss": 6.5192,
2536
+ "step": 361
2537
+ },
2538
+ {
2539
+ "epoch": 0.6309368191721133,
2540
+ "grad_norm": 2.1544463634490967,
2541
+ "learning_rate": 3.0515691304332726e-05,
2542
+ "loss": 5.8769,
2543
+ "step": 362
2544
+ },
2545
+ {
2546
+ "epoch": 0.6326797385620915,
2547
+ "grad_norm": 2.5770881175994873,
2548
+ "learning_rate": 3.0261750336377202e-05,
2549
+ "loss": 6.1575,
2550
+ "step": 363
2551
+ },
2552
+ {
2553
+ "epoch": 0.6344226579520698,
2554
+ "grad_norm": 2.342649221420288,
2555
+ "learning_rate": 3.0008411072212028e-05,
2556
+ "loss": 6.3911,
2557
+ "step": 364
2558
+ },
2559
+ {
2560
+ "epoch": 0.6361655773420479,
2561
+ "grad_norm": 2.405895709991455,
2562
+ "learning_rate": 2.9755681234669663e-05,
2563
+ "loss": 6.3624,
2564
+ "step": 365
2565
+ },
2566
+ {
2567
+ "epoch": 0.6379084967320261,
2568
+ "grad_norm": 2.6010117530822754,
2569
+ "learning_rate": 2.9503568528004756e-05,
2570
+ "loss": 6.2125,
2571
+ "step": 366
2572
+ },
2573
+ {
2574
+ "epoch": 0.6396514161220044,
2575
+ "grad_norm": 2.4137613773345947,
2576
+ "learning_rate": 2.9252080637659202e-05,
2577
+ "loss": 6.1491,
2578
+ "step": 367
2579
+ },
2580
+ {
2581
+ "epoch": 0.6413943355119825,
2582
+ "grad_norm": 2.4673397541046143,
2583
+ "learning_rate": 2.9001225230027922e-05,
2584
+ "loss": 5.8103,
2585
+ "step": 368
2586
+ },
2587
+ {
2588
+ "epoch": 0.6431372549019608,
2589
+ "grad_norm": 2.385077953338623,
2590
+ "learning_rate": 2.8751009952225116e-05,
2591
+ "loss": 5.9594,
2592
+ "step": 369
2593
+ },
2594
+ {
2595
+ "epoch": 0.644880174291939,
2596
+ "grad_norm": 2.573052167892456,
2597
+ "learning_rate": 2.85014424318512e-05,
2598
+ "loss": 6.5171,
2599
+ "step": 370
2600
+ },
2601
+ {
2602
+ "epoch": 0.6466230936819172,
2603
+ "grad_norm": 2.530339002609253,
2604
+ "learning_rate": 2.825253027676026e-05,
2605
+ "loss": 5.868,
2606
+ "step": 371
2607
+ },
2608
+ {
2609
+ "epoch": 0.6483660130718955,
2610
+ "grad_norm": 2.685885190963745,
2611
+ "learning_rate": 2.8004281074828066e-05,
2612
+ "loss": 6.0836,
2613
+ "step": 372
2614
+ },
2615
+ {
2616
+ "epoch": 0.6501089324618736,
2617
+ "grad_norm": 2.4924590587615967,
2618
+ "learning_rate": 2.775670239372088e-05,
2619
+ "loss": 6.0432,
2620
+ "step": 373
2621
+ },
2622
+ {
2623
+ "epoch": 0.6518518518518519,
2624
+ "grad_norm": 2.4421753883361816,
2625
+ "learning_rate": 2.7509801780664722e-05,
2626
+ "loss": 5.6009,
2627
+ "step": 374
2628
+ },
2629
+ {
2630
+ "epoch": 0.6535947712418301,
2631
+ "grad_norm": 2.7240960597991943,
2632
+ "learning_rate": 2.7263586762215197e-05,
2633
+ "loss": 6.4038,
2634
+ "step": 375
2635
+ },
2636
+ {
2637
+ "epoch": 0.6553376906318082,
2638
+ "grad_norm": 2.821495294570923,
2639
+ "learning_rate": 2.7018064844028247e-05,
2640
+ "loss": 6.1641,
2641
+ "step": 376
2642
+ },
2643
+ {
2644
+ "epoch": 0.6570806100217865,
2645
+ "grad_norm": 2.604276418685913,
2646
+ "learning_rate": 2.6773243510631147e-05,
2647
+ "loss": 5.8381,
2648
+ "step": 377
2649
+ },
2650
+ {
2651
+ "epoch": 0.6588235294117647,
2652
+ "grad_norm": 2.566859722137451,
2653
+ "learning_rate": 2.6529130225194492e-05,
2654
+ "loss": 5.8157,
2655
+ "step": 378
2656
+ },
2657
+ {
2658
+ "epoch": 0.6605664488017429,
2659
+ "grad_norm": 2.681065082550049,
2660
+ "learning_rate": 2.628573242930463e-05,
2661
+ "loss": 5.9249,
2662
+ "step": 379
2663
+ },
2664
+ {
2665
+ "epoch": 0.6623093681917211,
2666
+ "grad_norm": 2.881753921508789,
2667
+ "learning_rate": 2.6043057542736836e-05,
2668
+ "loss": 5.9907,
2669
+ "step": 380
2670
+ },
2671
+ {
2672
+ "epoch": 0.6640522875816993,
2673
+ "grad_norm": 2.9366629123687744,
2674
+ "learning_rate": 2.580111296322904e-05,
2675
+ "loss": 6.1998,
2676
+ "step": 381
2677
+ },
2678
+ {
2679
+ "epoch": 0.6657952069716776,
2680
+ "grad_norm": 2.7908003330230713,
2681
+ "learning_rate": 2.5559906066256468e-05,
2682
+ "loss": 5.684,
2683
+ "step": 382
2684
+ },
2685
+ {
2686
+ "epoch": 0.6675381263616558,
2687
+ "grad_norm": 3.17881178855896,
2688
+ "learning_rate": 2.5319444204806624e-05,
2689
+ "loss": 5.6958,
2690
+ "step": 383
2691
+ },
2692
+ {
2693
+ "epoch": 0.6692810457516339,
2694
+ "grad_norm": 2.9115662574768066,
2695
+ "learning_rate": 2.5079734709155322e-05,
2696
+ "loss": 6.0,
2697
+ "step": 384
2698
+ },
2699
+ {
2700
+ "epoch": 0.6710239651416122,
2701
+ "grad_norm": 3.160400867462158,
2702
+ "learning_rate": 2.4840784886643132e-05,
2703
+ "loss": 6.0205,
2704
+ "step": 385
2705
+ },
2706
+ {
2707
+ "epoch": 0.6727668845315904,
2708
+ "grad_norm": 3.053187370300293,
2709
+ "learning_rate": 2.460260202145256e-05,
2710
+ "loss": 5.9711,
2711
+ "step": 386
2712
+ },
2713
+ {
2714
+ "epoch": 0.6745098039215687,
2715
+ "grad_norm": 3.328679323196411,
2716
+ "learning_rate": 2.4365193374386146e-05,
2717
+ "loss": 6.0894,
2718
+ "step": 387
2719
+ },
2720
+ {
2721
+ "epoch": 0.6762527233115468,
2722
+ "grad_norm": 3.2774860858917236,
2723
+ "learning_rate": 2.4128566182645025e-05,
2724
+ "loss": 6.2712,
2725
+ "step": 388
2726
+ },
2727
+ {
2728
+ "epoch": 0.677995642701525,
2729
+ "grad_norm": 3.6069304943084717,
2730
+ "learning_rate": 2.3892727659608337e-05,
2731
+ "loss": 6.3312,
2732
+ "step": 389
2733
+ },
2734
+ {
2735
+ "epoch": 0.6797385620915033,
2736
+ "grad_norm": 3.3666365146636963,
2737
+ "learning_rate": 2.365768499461328e-05,
2738
+ "loss": 5.6572,
2739
+ "step": 390
2740
+ },
2741
+ {
2742
+ "epoch": 0.6814814814814815,
2743
+ "grad_norm": 3.515587568283081,
2744
+ "learning_rate": 2.342344535273608e-05,
2745
+ "loss": 5.971,
2746
+ "step": 391
2747
+ },
2748
+ {
2749
+ "epoch": 0.6832244008714597,
2750
+ "grad_norm": 3.494443893432617,
2751
+ "learning_rate": 2.3190015874573374e-05,
2752
+ "loss": 5.4621,
2753
+ "step": 392
2754
+ },
2755
+ {
2756
+ "epoch": 0.6849673202614379,
2757
+ "grad_norm": 3.653798818588257,
2758
+ "learning_rate": 2.2957403676024764e-05,
2759
+ "loss": 5.8032,
2760
+ "step": 393
2761
+ },
2762
+ {
2763
+ "epoch": 0.6867102396514161,
2764
+ "grad_norm": 3.884798526763916,
2765
+ "learning_rate": 2.272561584807567e-05,
2766
+ "loss": 5.681,
2767
+ "step": 394
2768
+ },
2769
+ {
2770
+ "epoch": 0.6884531590413944,
2771
+ "grad_norm": 3.974616289138794,
2772
+ "learning_rate": 2.249465945658135e-05,
2773
+ "loss": 5.9997,
2774
+ "step": 395
2775
+ },
2776
+ {
2777
+ "epoch": 0.6901960784313725,
2778
+ "grad_norm": 3.954075813293457,
2779
+ "learning_rate": 2.2264541542051398e-05,
2780
+ "loss": 5.3938,
2781
+ "step": 396
2782
+ },
2783
+ {
2784
+ "epoch": 0.6919389978213507,
2785
+ "grad_norm": 4.381604194641113,
2786
+ "learning_rate": 2.2035269119435163e-05,
2787
+ "loss": 5.7926,
2788
+ "step": 397
2789
+ },
2790
+ {
2791
+ "epoch": 0.693681917211329,
2792
+ "grad_norm": 4.715634822845459,
2793
+ "learning_rate": 2.1806849177907846e-05,
2794
+ "loss": 5.9823,
2795
+ "step": 398
2796
+ },
2797
+ {
2798
+ "epoch": 0.6954248366013072,
2799
+ "grad_norm": 4.817767143249512,
2800
+ "learning_rate": 2.157928868065754e-05,
2801
+ "loss": 5.8821,
2802
+ "step": 399
2803
+ },
2804
+ {
2805
+ "epoch": 0.6971677559912854,
2806
+ "grad_norm": 6.161748886108398,
2807
+ "learning_rate": 2.1352594564672908e-05,
2808
+ "loss": 5.9004,
2809
+ "step": 400
2810
+ },
2811
+ {
2812
+ "epoch": 0.6989106753812636,
2813
+ "grad_norm": 3.119013786315918,
2814
+ "learning_rate": 2.112677374053164e-05,
2815
+ "loss": 6.665,
2816
+ "step": 401
2817
+ },
2818
+ {
2819
+ "epoch": 0.7006535947712418,
2820
+ "grad_norm": 3.0946598052978516,
2821
+ "learning_rate": 2.0901833092189982e-05,
2822
+ "loss": 6.0594,
2823
+ "step": 402
2824
+ },
2825
+ {
2826
+ "epoch": 0.7023965141612201,
2827
+ "grad_norm": 3.746190071105957,
2828
+ "learning_rate": 2.0677779476772653e-05,
2829
+ "loss": 6.894,
2830
+ "step": 403
2831
+ },
2832
+ {
2833
+ "epoch": 0.7041394335511982,
2834
+ "grad_norm": 3.08188796043396,
2835
+ "learning_rate": 2.0454619724363994e-05,
2836
+ "loss": 6.1855,
2837
+ "step": 404
2838
+ },
2839
+ {
2840
+ "epoch": 0.7058823529411765,
2841
+ "grad_norm": 2.8253674507141113,
2842
+ "learning_rate": 2.0232360637799685e-05,
2843
+ "loss": 6.7474,
2844
+ "step": 405
2845
+ },
2846
+ {
2847
+ "epoch": 0.7076252723311547,
2848
+ "grad_norm": 2.46675968170166,
2849
+ "learning_rate": 2.0011008992459374e-05,
2850
+ "loss": 5.9278,
2851
+ "step": 406
2852
+ },
2853
+ {
2854
+ "epoch": 0.7093681917211329,
2855
+ "grad_norm": 2.6714541912078857,
2856
+ "learning_rate": 1.979057153606009e-05,
2857
+ "loss": 7.026,
2858
+ "step": 407
2859
+ },
2860
+ {
2861
+ "epoch": 0.7111111111111111,
2862
+ "grad_norm": 2.6034669876098633,
2863
+ "learning_rate": 1.9571054988450648e-05,
2864
+ "loss": 6.8818,
2865
+ "step": 408
2866
+ },
2867
+ {
2868
+ "epoch": 0.7128540305010893,
2869
+ "grad_norm": 2.296431541442871,
2870
+ "learning_rate": 1.9352466041406686e-05,
2871
+ "loss": 6.431,
2872
+ "step": 409
2873
+ },
2874
+ {
2875
+ "epoch": 0.7145969498910676,
2876
+ "grad_norm": 2.503453493118286,
2877
+ "learning_rate": 1.9134811358426757e-05,
2878
+ "loss": 6.0567,
2879
+ "step": 410
2880
+ },
2881
+ {
2882
+ "epoch": 0.7163398692810458,
2883
+ "grad_norm": 2.331385374069214,
2884
+ "learning_rate": 1.8918097574529193e-05,
2885
+ "loss": 6.1813,
2886
+ "step": 411
2887
+ },
2888
+ {
2889
+ "epoch": 0.7180827886710239,
2890
+ "grad_norm": 2.208219528198242,
2891
+ "learning_rate": 1.870233129604974e-05,
2892
+ "loss": 5.884,
2893
+ "step": 412
2894
+ },
2895
+ {
2896
+ "epoch": 0.7198257080610022,
2897
+ "grad_norm": 2.3889777660369873,
2898
+ "learning_rate": 1.8487519100440314e-05,
2899
+ "loss": 6.8247,
2900
+ "step": 413
2901
+ },
2902
+ {
2903
+ "epoch": 0.7215686274509804,
2904
+ "grad_norm": 2.4284768104553223,
2905
+ "learning_rate": 1.827366753606839e-05,
2906
+ "loss": 6.3911,
2907
+ "step": 414
2908
+ },
2909
+ {
2910
+ "epoch": 0.7233115468409586,
2911
+ "grad_norm": 2.250567674636841,
2912
+ "learning_rate": 1.806078312201745e-05,
2913
+ "loss": 6.0543,
2914
+ "step": 415
2915
+ },
2916
+ {
2917
+ "epoch": 0.7250544662309368,
2918
+ "grad_norm": 2.4507486820220947,
2919
+ "learning_rate": 1.7848872347888162e-05,
2920
+ "loss": 5.9986,
2921
+ "step": 416
2922
+ },
2923
+ {
2924
+ "epoch": 0.726797385620915,
2925
+ "grad_norm": 2.4052789211273193,
2926
+ "learning_rate": 1.7637941673600666e-05,
2927
+ "loss": 6.1408,
2928
+ "step": 417
2929
+ },
2930
+ {
2931
+ "epoch": 0.7285403050108933,
2932
+ "grad_norm": 2.430462598800659,
2933
+ "learning_rate": 1.742799752919753e-05,
2934
+ "loss": 6.0993,
2935
+ "step": 418
2936
+ },
2937
+ {
2938
+ "epoch": 0.7302832244008715,
2939
+ "grad_norm": 2.4374566078186035,
2940
+ "learning_rate": 1.7219046314647876e-05,
2941
+ "loss": 6.2393,
2942
+ "step": 419
2943
+ },
2944
+ {
2945
+ "epoch": 0.7320261437908496,
2946
+ "grad_norm": 2.6431052684783936,
2947
+ "learning_rate": 1.7011094399652107e-05,
2948
+ "loss": 5.9052,
2949
+ "step": 420
2950
+ },
2951
+ {
2952
+ "epoch": 0.7337690631808279,
2953
+ "grad_norm": 2.5823075771331787,
2954
+ "learning_rate": 1.6804148123447898e-05,
2955
+ "loss": 6.1515,
2956
+ "step": 421
2957
+ },
2958
+ {
2959
+ "epoch": 0.7355119825708061,
2960
+ "grad_norm": 2.611707925796509,
2961
+ "learning_rate": 1.6598213794616863e-05,
2962
+ "loss": 5.8446,
2963
+ "step": 422
2964
+ },
2965
+ {
2966
+ "epoch": 0.7372549019607844,
2967
+ "grad_norm": 2.443992853164673,
2968
+ "learning_rate": 1.6393297690892255e-05,
2969
+ "loss": 5.5375,
2970
+ "step": 423
2971
+ },
2972
+ {
2973
+ "epoch": 0.7389978213507625,
2974
+ "grad_norm": 2.731403350830078,
2975
+ "learning_rate": 1.6189406058967575e-05,
2976
+ "loss": 6.0878,
2977
+ "step": 424
2978
+ },
2979
+ {
2980
+ "epoch": 0.7407407407407407,
2981
+ "grad_norm": 2.706822633743286,
2982
+ "learning_rate": 1.59865451143062e-05,
2983
+ "loss": 5.9887,
2984
+ "step": 425
2985
+ },
2986
+ {
2987
+ "epoch": 0.742483660130719,
2988
+ "grad_norm": 2.604900360107422,
2989
+ "learning_rate": 1.57847210409519e-05,
2990
+ "loss": 5.7022,
2991
+ "step": 426
2992
+ },
2993
+ {
2994
+ "epoch": 0.7442265795206972,
2995
+ "grad_norm": 2.868650197982788,
2996
+ "learning_rate": 1.558393999134023e-05,
2997
+ "loss": 5.8788,
2998
+ "step": 427
2999
+ },
3000
+ {
3001
+ "epoch": 0.7459694989106754,
3002
+ "grad_norm": 2.7633955478668213,
3003
+ "learning_rate": 1.538420808611114e-05,
3004
+ "loss": 5.8095,
3005
+ "step": 428
3006
+ },
3007
+ {
3008
+ "epoch": 0.7477124183006536,
3009
+ "grad_norm": 2.786994695663452,
3010
+ "learning_rate": 1.5185531413922216e-05,
3011
+ "loss": 5.4344,
3012
+ "step": 429
3013
+ },
3014
+ {
3015
+ "epoch": 0.7494553376906318,
3016
+ "grad_norm": 2.9318881034851074,
3017
+ "learning_rate": 1.4987916031263232e-05,
3018
+ "loss": 6.0454,
3019
+ "step": 430
3020
+ },
3021
+ {
3022
+ "epoch": 0.75119825708061,
3023
+ "grad_norm": 3.0639290809631348,
3024
+ "learning_rate": 1.4791367962271424e-05,
3025
+ "loss": 6.0132,
3026
+ "step": 431
3027
+ },
3028
+ {
3029
+ "epoch": 0.7529411764705882,
3030
+ "grad_norm": 3.145095109939575,
3031
+ "learning_rate": 1.4595893198547888e-05,
3032
+ "loss": 6.0023,
3033
+ "step": 432
3034
  }
3035
  ],
3036
  "logging_steps": 1,
 
3050
  "attributes": {}
3051
  }
3052
  },
3053
+ "total_flos": 6.324847464834662e+17,
3054
  "train_batch_size": 4,
3055
  "trial_name": null,
3056
  "trial_params": null