DedeProGames commited on
Commit
25ec534
·
verified ·
1 Parent(s): 3301333

Training in progress, step 24000, checkpoint

Browse files
last-checkpoint/model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:25e6b1e7cd22ce2f5f61083b567b61f4c43cd1380ebd76e6c869c0e3c049d3f0
3
  size 1153648
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:36e7c8e59f44842b339fac2ef000aea78811dbb794e276f14fed4bd6df5cea78
3
  size 1153648
last-checkpoint/optimizer.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:ce387c501078886ed739a41352b82569572e778439c05037adaeb40a859628b5
3
  size 2334411
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c2f6bdce455b9c98bcb1cd1f8e6fbbebff571aca2b3a9401a1dd0a554a62a5ac
3
  size 2334411
last-checkpoint/rng_state.pth CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:823530601d5f546a9c53c7acd8c14c2a4e4bd0d4ff89349181b99f0d408640ef
3
  size 14645
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:fe23bac147ae4f270ef388d0372bf9f6ef6c0243d969a719ae9d2e248641e942
3
  size 14645
last-checkpoint/scaler.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:a551480e401ed665a0d601a533ec3fe133e46954d50f636ffdee22f60a193e8f
3
  size 1383
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e49b9119cfe53a5f9361daba9a41e626c2662be41e03d5f6df7991b02a776fc9
3
  size 1383
last-checkpoint/scheduler.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:3400f76ffbbd130554a6ab23c71e22ecc22df4d5d33779dbaf7eb10627885f9f
3
  size 1465
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1a43cee2ab7b75b1990ef803da3443a3aebff596ad01f8bbf4e0371ee6d1c8d3
3
  size 1465
last-checkpoint/trainer_state.json CHANGED
@@ -2,9 +2,9 @@
2
  "best_global_step": null,
3
  "best_metric": null,
4
  "best_model_checkpoint": null,
5
- "epoch": 0.45055192610948414,
6
  "eval_steps": 500,
7
- "global_step": 22000,
8
  "is_hyper_param_search": false,
9
  "is_local_process_zero": true,
10
  "is_world_process_zero": true,
@@ -3088,6 +3088,286 @@
3088
  "learning_rate": 0.000577392607415337,
3089
  "loss": 5.046322631835937,
3090
  "step": 22000
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
3091
  }
3092
  ],
3093
  "logging_steps": 50,
@@ -3107,7 +3387,7 @@
3107
  "attributes": {}
3108
  }
3109
  },
3110
- "total_flos": 286720524288000.0,
3111
  "train_batch_size": 16,
3112
  "trial_name": null,
3113
  "trial_params": null
 
2
  "best_global_step": null,
3
  "best_metric": null,
4
  "best_model_checkpoint": null,
5
+ "epoch": 0.4915111921194372,
6
  "eval_steps": 500,
7
+ "global_step": 24000,
8
  "is_hyper_param_search": false,
9
  "is_local_process_zero": true,
10
  "is_world_process_zero": true,
 
3088
  "learning_rate": 0.000577392607415337,
3089
  "loss": 5.046322631835937,
3090
  "step": 22000
3091
+ },
3092
+ {
3093
+ "epoch": 0.45157590775973294,
3094
+ "grad_norm": 0.9067041277885437,
3095
+ "learning_rate": 0.000575803128093074,
3096
+ "loss": 5.041178894042969,
3097
+ "step": 22050
3098
+ },
3099
+ {
3100
+ "epoch": 0.45259988940998175,
3101
+ "grad_norm": 0.9458829164505005,
3102
+ "learning_rate": 0.0005742128643107327,
3103
+ "loss": 5.038160705566407,
3104
+ "step": 22100
3105
+ },
3106
+ {
3107
+ "epoch": 0.4536238710602306,
3108
+ "grad_norm": 0.8975867629051208,
3109
+ "learning_rate": 0.0005726218325253978,
3110
+ "loss": 5.018882446289062,
3111
+ "step": 22150
3112
+ },
3113
+ {
3114
+ "epoch": 0.4546478527104794,
3115
+ "grad_norm": 0.6916885375976562,
3116
+ "learning_rate": 0.0005710300492021006,
3117
+ "loss": 5.032647705078125,
3118
+ "step": 22200
3119
+ },
3120
+ {
3121
+ "epoch": 0.4556718343607283,
3122
+ "grad_norm": 0.948345959186554,
3123
+ "learning_rate": 0.0005694375308136506,
3124
+ "loss": 5.031848449707031,
3125
+ "step": 22250
3126
+ },
3127
+ {
3128
+ "epoch": 0.4566958160109771,
3129
+ "grad_norm": 0.8653504252433777,
3130
+ "learning_rate": 0.0005678442938404642,
3131
+ "loss": 5.028753662109375,
3132
+ "step": 22300
3133
+ },
3134
+ {
3135
+ "epoch": 0.4577197976612259,
3136
+ "grad_norm": 0.8769348859786987,
3137
+ "learning_rate": 0.0005662503547703934,
3138
+ "loss": 5.036540222167969,
3139
+ "step": 22350
3140
+ },
3141
+ {
3142
+ "epoch": 0.45874377931147475,
3143
+ "grad_norm": 1.1168607473373413,
3144
+ "learning_rate": 0.0005646557300985572,
3145
+ "loss": 5.023377380371094,
3146
+ "step": 22400
3147
+ },
3148
+ {
3149
+ "epoch": 0.45976776096172356,
3150
+ "grad_norm": 0.7529086470603943,
3151
+ "learning_rate": 0.0005630604363271685,
3152
+ "loss": 5.049166564941406,
3153
+ "step": 22450
3154
+ },
3155
+ {
3156
+ "epoch": 0.46079174261197237,
3157
+ "grad_norm": 0.7045357823371887,
3158
+ "learning_rate": 0.0005614644899653652,
3159
+ "loss": 5.023310241699218,
3160
+ "step": 22500
3161
+ },
3162
+ {
3163
+ "epoch": 0.4618157242622212,
3164
+ "grad_norm": 0.8497369289398193,
3165
+ "learning_rate": 0.0005598679075290381,
3166
+ "loss": 5.041716003417969,
3167
+ "step": 22550
3168
+ },
3169
+ {
3170
+ "epoch": 0.46283970591247003,
3171
+ "grad_norm": 0.8301413655281067,
3172
+ "learning_rate": 0.000558270705540661,
3173
+ "loss": 5.019425659179688,
3174
+ "step": 22600
3175
+ },
3176
+ {
3177
+ "epoch": 0.4638636875627189,
3178
+ "grad_norm": 1.038455843925476,
3179
+ "learning_rate": 0.000556672900529119,
3180
+ "loss": 5.0140682983398435,
3181
+ "step": 22650
3182
+ },
3183
+ {
3184
+ "epoch": 0.4648876692129677,
3185
+ "grad_norm": 0.7119101881980896,
3186
+ "learning_rate": 0.0005550745090295378,
3187
+ "loss": 5.0490634155273435,
3188
+ "step": 22700
3189
+ },
3190
+ {
3191
+ "epoch": 0.4659116508632165,
3192
+ "grad_norm": 0.8264387249946594,
3193
+ "learning_rate": 0.0005534755475831121,
3194
+ "loss": 5.018643188476562,
3195
+ "step": 22750
3196
+ },
3197
+ {
3198
+ "epoch": 0.46693563251346537,
3199
+ "grad_norm": 0.6974812150001526,
3200
+ "learning_rate": 0.0005518760327369353,
3201
+ "loss": 5.034531860351563,
3202
+ "step": 22800
3203
+ },
3204
+ {
3205
+ "epoch": 0.4679596141637142,
3206
+ "grad_norm": 0.6481902599334717,
3207
+ "learning_rate": 0.0005502759810438275,
3208
+ "loss": 5.030080261230469,
3209
+ "step": 22850
3210
+ },
3211
+ {
3212
+ "epoch": 0.46898359581396304,
3213
+ "grad_norm": 0.8283994197845459,
3214
+ "learning_rate": 0.0005486754090621642,
3215
+ "loss": 5.034128723144531,
3216
+ "step": 22900
3217
+ },
3218
+ {
3219
+ "epoch": 0.47000757746421185,
3220
+ "grad_norm": 0.7362484335899353,
3221
+ "learning_rate": 0.0005470743333557055,
3222
+ "loss": 5.063320617675782,
3223
+ "step": 22950
3224
+ },
3225
+ {
3226
+ "epoch": 0.47103155911446065,
3227
+ "grad_norm": 0.7104576230049133,
3228
+ "learning_rate": 0.0005454727704934241,
3229
+ "loss": 5.0402743530273435,
3230
+ "step": 23000
3231
+ },
3232
+ {
3233
+ "epoch": 0.4720555407647095,
3234
+ "grad_norm": 0.8112474679946899,
3235
+ "learning_rate": 0.0005438707370493348,
3236
+ "loss": 5.014774475097656,
3237
+ "step": 23050
3238
+ },
3239
+ {
3240
+ "epoch": 0.4730795224149583,
3241
+ "grad_norm": 1.010627269744873,
3242
+ "learning_rate": 0.0005422682496023214,
3243
+ "loss": 5.022322082519532,
3244
+ "step": 23100
3245
+ },
3246
+ {
3247
+ "epoch": 0.4741035040652071,
3248
+ "grad_norm": 0.8355703949928284,
3249
+ "learning_rate": 0.0005406653247359662,
3250
+ "loss": 5.047538146972657,
3251
+ "step": 23150
3252
+ },
3253
+ {
3254
+ "epoch": 0.475127485715456,
3255
+ "grad_norm": 0.9319697618484497,
3256
+ "learning_rate": 0.0005390619790383789,
3257
+ "loss": 5.015643005371094,
3258
+ "step": 23200
3259
+ },
3260
+ {
3261
+ "epoch": 0.4761514673657048,
3262
+ "grad_norm": 0.8085825443267822,
3263
+ "learning_rate": 0.0005374582291020233,
3264
+ "loss": 5.049990234375,
3265
+ "step": 23250
3266
+ },
3267
+ {
3268
+ "epoch": 0.47717544901595366,
3269
+ "grad_norm": 0.9724649786949158,
3270
+ "learning_rate": 0.000535854091523547,
3271
+ "loss": 5.015569152832032,
3272
+ "step": 23300
3273
+ },
3274
+ {
3275
+ "epoch": 0.47819943066620246,
3276
+ "grad_norm": 0.7908557653427124,
3277
+ "learning_rate": 0.0005342495829036095,
3278
+ "loss": 5.022587890625,
3279
+ "step": 23350
3280
+ },
3281
+ {
3282
+ "epoch": 0.47922341231645127,
3283
+ "grad_norm": 0.6975404024124146,
3284
+ "learning_rate": 0.0005326447198467092,
3285
+ "loss": 4.996109313964844,
3286
+ "step": 23400
3287
+ },
3288
+ {
3289
+ "epoch": 0.48024739396670013,
3290
+ "grad_norm": 0.7565339803695679,
3291
+ "learning_rate": 0.0005310395189610133,
3292
+ "loss": 5.0324838256835935,
3293
+ "step": 23450
3294
+ },
3295
+ {
3296
+ "epoch": 0.48127137561694894,
3297
+ "grad_norm": 0.6791459918022156,
3298
+ "learning_rate": 0.0005294339968581845,
3299
+ "loss": 5.0436093139648435,
3300
+ "step": 23500
3301
+ },
3302
+ {
3303
+ "epoch": 0.4822953572671978,
3304
+ "grad_norm": 0.7872998118400574,
3305
+ "learning_rate": 0.0005278281701532099,
3306
+ "loss": 5.04802734375,
3307
+ "step": 23550
3308
+ },
3309
+ {
3310
+ "epoch": 0.4833193389174466,
3311
+ "grad_norm": 0.7677999138832092,
3312
+ "learning_rate": 0.000526222055464229,
3313
+ "loss": 5.04433349609375,
3314
+ "step": 23600
3315
+ },
3316
+ {
3317
+ "epoch": 0.4843433205676954,
3318
+ "grad_norm": 0.6659406423568726,
3319
+ "learning_rate": 0.0005246156694123611,
3320
+ "loss": 5.021984558105469,
3321
+ "step": 23650
3322
+ },
3323
+ {
3324
+ "epoch": 0.4853673022179443,
3325
+ "grad_norm": 2.627041816711426,
3326
+ "learning_rate": 0.0005230090286215343,
3327
+ "loss": 5.054336853027344,
3328
+ "step": 23700
3329
+ },
3330
+ {
3331
+ "epoch": 0.4863912838681931,
3332
+ "grad_norm": 0.718858540058136,
3333
+ "learning_rate": 0.0005214021497183123,
3334
+ "loss": 5.05353515625,
3335
+ "step": 23750
3336
+ },
3337
+ {
3338
+ "epoch": 0.4874152655184419,
3339
+ "grad_norm": 0.7855371236801147,
3340
+ "learning_rate": 0.0005197950493317233,
3341
+ "loss": 5.015243835449219,
3342
+ "step": 23800
3343
+ },
3344
+ {
3345
+ "epoch": 0.48843924716869075,
3346
+ "grad_norm": 1.190674901008606,
3347
+ "learning_rate": 0.0005181877440930875,
3348
+ "loss": 5.060979309082032,
3349
+ "step": 23850
3350
+ },
3351
+ {
3352
+ "epoch": 0.48946322881893956,
3353
+ "grad_norm": 0.8439124822616577,
3354
+ "learning_rate": 0.0005165802506358451,
3355
+ "loss": 5.124266967773438,
3356
+ "step": 23900
3357
+ },
3358
+ {
3359
+ "epoch": 0.4904872104691884,
3360
+ "grad_norm": 0.7516206502914429,
3361
+ "learning_rate": 0.0005149725855953841,
3362
+ "loss": 5.03356201171875,
3363
+ "step": 23950
3364
+ },
3365
+ {
3366
+ "epoch": 0.4915111921194372,
3367
+ "grad_norm": 0.8173161149024963,
3368
+ "learning_rate": 0.0005133647656088678,
3369
+ "loss": 5.039023742675782,
3370
+ "step": 24000
3371
  }
3372
  ],
3373
  "logging_steps": 50,
 
3387
  "attributes": {}
3388
  }
3389
  },
3390
+ "total_flos": 312786026496000.0,
3391
  "train_batch_size": 16,
3392
  "trial_name": null,
3393
  "trial_params": null