mtzig commited on
Commit
6bc3624
·
verified ·
1 Parent(s): 874dc4d

Training in progress, step 500, checkpoint

Browse files
last-checkpoint/optimizer_0/.metadata CHANGED
Binary files a/last-checkpoint/optimizer_0/.metadata and b/last-checkpoint/optimizer_0/.metadata differ
 
last-checkpoint/optimizer_0/__0_0.distcp CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:61e0583ec5819bd9d218cb7cbb3d96a13e38ffa7c04c77bed86909e60e2d8d43
3
  size 13934748
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e2b93ad52642a85b05dfeb12298d5fc96031e28deca183e4c2c08dee55390519
3
  size 13934748
last-checkpoint/optimizer_0/__1_0.distcp CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:bc9ceb414aa18285c6e881640d933d01fb0146850bfc8ecd06ab1f6bb1bed056
3
  size 13999412
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2efb917810cc2f95e9f9ce9dbedd055ab564155034f3abefbe6e2c2aba3ca26d
3
  size 13999412
last-checkpoint/optimizer_0/__2_0.distcp CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:1366fd8d18df6071e3e46f037affd2fa48cd8fbddf1de76bfad3a682252957dc
3
  size 13990904
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a1074fb3e5da840427a8c2bea51f33775455c187a3952a36a214f784d7d2276f
3
  size 13990904
last-checkpoint/optimizer_0/__3_0.distcp CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:d27689e09f171d3bfac23f02586872ccd9295635653d605d59ab909896aef34d
3
  size 13990904
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:125e0693505ee7832ee7ccc24457433cbae25876a3094529f034b3e75b927697
3
  size 13990904
last-checkpoint/pytorch_model_fsdp_0/.metadata CHANGED
Binary files a/last-checkpoint/pytorch_model_fsdp_0/.metadata and b/last-checkpoint/pytorch_model_fsdp_0/.metadata differ
 
last-checkpoint/pytorch_model_fsdp_0/__0_0.distcp CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:ba710043ec7c5e37f0cc9912a7fc1e35ee1c93b7c28149447a9da2468e8d2738
3
  size 6966784
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a160bd7b9e08e738f42a7a457989e3c22a3b5edc1387393e647818565d70087c
3
  size 6966784
last-checkpoint/pytorch_model_fsdp_0/__1_0.distcp CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:34df0713f48ac78099ac04b6aa827e0b9450f86e65d38e6f95738f425b9fe3cb
3
  size 6966784
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ecc75e35548f117f565dab4461f84d0eafe694b50abee164ab9bef5eab3b4ee4
3
  size 6966784
last-checkpoint/pytorch_model_fsdp_0/__2_0.distcp CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:22216db04e5f7b4575fd49e958bbf8d52502bd3d4c610f1ee1ac28962fb2221f
3
  size 6966784
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3ae5b867cd013595180bd2ccabeca150c9cfa9878165ccfecdfd9293bc574562
3
  size 6966784
last-checkpoint/pytorch_model_fsdp_0/__3_0.distcp CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:ad4699d37b4a4fd828dc85d7a4afb8b7233d8ff3f31f19da2eb15b5020878277
3
  size 6966784
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3a70ec7443f662da848c4b8210fe462d74b2d7a68b35699dc79e5bd86cb1eae2
3
  size 6966784
last-checkpoint/rng_state_0.pth CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:770f70341965762eba950e78530dac18548c5ffc01747f586966a93dd2aaecc5
3
  size 15088
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c76de5da5afcc5abc533d34acaa4a5f75726ae0dddef8d03dce20b4b0bb16b26
3
  size 15088
last-checkpoint/rng_state_1.pth CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:e6a5808c82049f750089c2b8c24ef7ed5c78e67dc53d231bb7066cc5400ea6c0
3
  size 15088
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:fe6768c650c318d7513b359980365700ed7262b73426a2846102802665f07202
3
  size 15088
last-checkpoint/rng_state_2.pth CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:26584d4d2b2c938da795ee83cefc212ad7531e84dccb612e0d827ed54c445ba7
3
  size 15088
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:984877f9215c7cb40eee3a9c80335cc677560aa6c451b66bba02e1f3bd6a640f
3
  size 15088
last-checkpoint/rng_state_3.pth CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:ce4ce133b799ebf855812e6c0a1492b8b6983f401e5b15fef49b386da6c07a2e
3
  size 15088
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:61f55f74596ac7956ac8ae93c9417eb4717b8e1452599a0c994329e13b642c3c
3
  size 15088
last-checkpoint/scheduler.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:e72f0c2b42252f9bf5b1a5e2d7757bd051d85eef3fb930f6dcbfeb449c5c3e1a
3
  size 1064
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:976dc23b255118d6686ca07b5635c96d50eb321a91532eac8dd124ba2740fad5
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": 0.3389830508474576,
5
  "eval_steps": 20,
6
- "global_step": 400,
7
  "is_hyper_param_search": false,
8
  "is_local_process_zero": true,
9
  "is_world_process_zero": true,
@@ -3059,6 +3059,766 @@
3059
  "eval_samples_per_second": 5.7,
3060
  "eval_steps_per_second": 0.195,
3061
  "step": 400
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
3062
  }
3063
  ],
3064
  "logging_steps": 1,
@@ -3078,7 +3838,7 @@
3078
  "attributes": {}
3079
  }
3080
  },
3081
- "total_flos": 1.2357669100716032e+17,
3082
  "train_batch_size": 8,
3083
  "trial_name": null,
3084
  "trial_params": null
 
1
  {
2
  "best_metric": null,
3
  "best_model_checkpoint": null,
4
+ "epoch": 0.423728813559322,
5
  "eval_steps": 20,
6
+ "global_step": 500,
7
  "is_hyper_param_search": false,
8
  "is_local_process_zero": true,
9
  "is_world_process_zero": true,
 
3059
  "eval_samples_per_second": 5.7,
3060
  "eval_steps_per_second": 0.195,
3061
  "step": 400
3062
+ },
3063
+ {
3064
+ "epoch": 0.3398305084745763,
3065
+ "grad_norm": 1.8987358808517456,
3066
+ "learning_rate": 1.6695701612246578e-05,
3067
+ "loss": 0.0087,
3068
+ "step": 401
3069
+ },
3070
+ {
3071
+ "epoch": 0.34067796610169493,
3072
+ "grad_norm": 2.600064277648926,
3073
+ "learning_rate": 1.6673700462483776e-05,
3074
+ "loss": 0.0215,
3075
+ "step": 402
3076
+ },
3077
+ {
3078
+ "epoch": 0.34152542372881356,
3079
+ "grad_norm": 0.21410588920116425,
3080
+ "learning_rate": 1.6651640912148362e-05,
3081
+ "loss": 0.0013,
3082
+ "step": 403
3083
+ },
3084
+ {
3085
+ "epoch": 0.3423728813559322,
3086
+ "grad_norm": 2.80786395072937,
3087
+ "learning_rate": 1.662952315428021e-05,
3088
+ "loss": 0.0257,
3089
+ "step": 404
3090
+ },
3091
+ {
3092
+ "epoch": 0.3432203389830508,
3093
+ "grad_norm": 2.0962929725646973,
3094
+ "learning_rate": 1.6607347382428577e-05,
3095
+ "loss": 0.0106,
3096
+ "step": 405
3097
+ },
3098
+ {
3099
+ "epoch": 0.3440677966101695,
3100
+ "grad_norm": 1.8939802646636963,
3101
+ "learning_rate": 1.658511379065039e-05,
3102
+ "loss": 0.0211,
3103
+ "step": 406
3104
+ },
3105
+ {
3106
+ "epoch": 0.34491525423728814,
3107
+ "grad_norm": 1.2169216871261597,
3108
+ "learning_rate": 1.6562822573508533e-05,
3109
+ "loss": 0.0056,
3110
+ "step": 407
3111
+ },
3112
+ {
3113
+ "epoch": 0.34576271186440677,
3114
+ "grad_norm": 1.3260303735733032,
3115
+ "learning_rate": 1.6540473926070183e-05,
3116
+ "loss": 0.0137,
3117
+ "step": 408
3118
+ },
3119
+ {
3120
+ "epoch": 0.3466101694915254,
3121
+ "grad_norm": 2.0518648624420166,
3122
+ "learning_rate": 1.6518068043905075e-05,
3123
+ "loss": 0.0104,
3124
+ "step": 409
3125
+ },
3126
+ {
3127
+ "epoch": 0.3474576271186441,
3128
+ "grad_norm": 0.49681225419044495,
3129
+ "learning_rate": 1.649560512308378e-05,
3130
+ "loss": 0.0037,
3131
+ "step": 410
3132
+ },
3133
+ {
3134
+ "epoch": 0.3483050847457627,
3135
+ "grad_norm": 1.43990957736969,
3136
+ "learning_rate": 1.647308536017603e-05,
3137
+ "loss": 0.0086,
3138
+ "step": 411
3139
+ },
3140
+ {
3141
+ "epoch": 0.34915254237288135,
3142
+ "grad_norm": 1.290264368057251,
3143
+ "learning_rate": 1.6450508952248957e-05,
3144
+ "loss": 0.0159,
3145
+ "step": 412
3146
+ },
3147
+ {
3148
+ "epoch": 0.35,
3149
+ "grad_norm": 0.9707666039466858,
3150
+ "learning_rate": 1.6427876096865394e-05,
3151
+ "loss": 0.0074,
3152
+ "step": 413
3153
+ },
3154
+ {
3155
+ "epoch": 0.35084745762711866,
3156
+ "grad_norm": 2.03999924659729,
3157
+ "learning_rate": 1.6405186992082134e-05,
3158
+ "loss": 0.0144,
3159
+ "step": 414
3160
+ },
3161
+ {
3162
+ "epoch": 0.3516949152542373,
3163
+ "grad_norm": 0.5716383457183838,
3164
+ "learning_rate": 1.6382441836448203e-05,
3165
+ "loss": 0.0053,
3166
+ "step": 415
3167
+ },
3168
+ {
3169
+ "epoch": 0.3525423728813559,
3170
+ "grad_norm": 0.6597254276275635,
3171
+ "learning_rate": 1.635964082900311e-05,
3172
+ "loss": 0.0033,
3173
+ "step": 416
3174
+ },
3175
+ {
3176
+ "epoch": 0.35338983050847456,
3177
+ "grad_norm": 0.7216088175773621,
3178
+ "learning_rate": 1.6336784169275132e-05,
3179
+ "loss": 0.0039,
3180
+ "step": 417
3181
+ },
3182
+ {
3183
+ "epoch": 0.35423728813559324,
3184
+ "grad_norm": 2.028721570968628,
3185
+ "learning_rate": 1.6313872057279536e-05,
3186
+ "loss": 0.0229,
3187
+ "step": 418
3188
+ },
3189
+ {
3190
+ "epoch": 0.3550847457627119,
3191
+ "grad_norm": 3.6218316555023193,
3192
+ "learning_rate": 1.6290904693516853e-05,
3193
+ "loss": 0.0318,
3194
+ "step": 419
3195
+ },
3196
+ {
3197
+ "epoch": 0.3559322033898305,
3198
+ "grad_norm": 0.5219744443893433,
3199
+ "learning_rate": 1.6267882278971102e-05,
3200
+ "loss": 0.0032,
3201
+ "step": 420
3202
+ },
3203
+ {
3204
+ "epoch": 0.3559322033898305,
3205
+ "eval_accuracy": 1.0,
3206
+ "eval_f1": 1.0,
3207
+ "eval_loss": 0.00023322339984588325,
3208
+ "eval_precision": 1.0,
3209
+ "eval_recall": 1.0,
3210
+ "eval_runtime": 51.4367,
3211
+ "eval_samples_per_second": 5.677,
3212
+ "eval_steps_per_second": 0.194,
3213
+ "step": 420
3214
+ },
3215
+ {
3216
+ "epoch": 0.35677966101694913,
3217
+ "grad_norm": 1.2915095090866089,
3218
+ "learning_rate": 1.624480501510806e-05,
3219
+ "loss": 0.0086,
3220
+ "step": 421
3221
+ },
3222
+ {
3223
+ "epoch": 0.3576271186440678,
3224
+ "grad_norm": 1.938812255859375,
3225
+ "learning_rate": 1.6221673103873474e-05,
3226
+ "loss": 0.0181,
3227
+ "step": 422
3228
+ },
3229
+ {
3230
+ "epoch": 0.35847457627118645,
3231
+ "grad_norm": 2.0729336738586426,
3232
+ "learning_rate": 1.6198486747691293e-05,
3233
+ "loss": 0.0119,
3234
+ "step": 423
3235
+ },
3236
+ {
3237
+ "epoch": 0.3593220338983051,
3238
+ "grad_norm": 1.3602229356765747,
3239
+ "learning_rate": 1.617524614946192e-05,
3240
+ "loss": 0.0121,
3241
+ "step": 424
3242
+ },
3243
+ {
3244
+ "epoch": 0.3601694915254237,
3245
+ "grad_norm": 0.6615320444107056,
3246
+ "learning_rate": 1.615195151256042e-05,
3247
+ "loss": 0.0051,
3248
+ "step": 425
3249
+ },
3250
+ {
3251
+ "epoch": 0.3610169491525424,
3252
+ "grad_norm": 1.0828938484191895,
3253
+ "learning_rate": 1.6128603040834735e-05,
3254
+ "loss": 0.0136,
3255
+ "step": 426
3256
+ },
3257
+ {
3258
+ "epoch": 0.36186440677966103,
3259
+ "grad_norm": 1.0993672609329224,
3260
+ "learning_rate": 1.6105200938603917e-05,
3261
+ "loss": 0.0071,
3262
+ "step": 427
3263
+ },
3264
+ {
3265
+ "epoch": 0.36271186440677966,
3266
+ "grad_norm": 1.2687034606933594,
3267
+ "learning_rate": 1.608174541065632e-05,
3268
+ "loss": 0.0124,
3269
+ "step": 428
3270
+ },
3271
+ {
3272
+ "epoch": 0.3635593220338983,
3273
+ "grad_norm": 0.7331047654151917,
3274
+ "learning_rate": 1.6058236662247827e-05,
3275
+ "loss": 0.0042,
3276
+ "step": 429
3277
+ },
3278
+ {
3279
+ "epoch": 0.3644067796610169,
3280
+ "grad_norm": 0.8685011863708496,
3281
+ "learning_rate": 1.603467489910004e-05,
3282
+ "loss": 0.0065,
3283
+ "step": 430
3284
+ },
3285
+ {
3286
+ "epoch": 0.3652542372881356,
3287
+ "grad_norm": 0.4545860290527344,
3288
+ "learning_rate": 1.6011060327398492e-05,
3289
+ "loss": 0.0035,
3290
+ "step": 431
3291
+ },
3292
+ {
3293
+ "epoch": 0.36610169491525424,
3294
+ "grad_norm": 1.2493585348129272,
3295
+ "learning_rate": 1.5987393153790832e-05,
3296
+ "loss": 0.0104,
3297
+ "step": 432
3298
+ },
3299
+ {
3300
+ "epoch": 0.36694915254237287,
3301
+ "grad_norm": 0.7078704237937927,
3302
+ "learning_rate": 1.5963673585385016e-05,
3303
+ "loss": 0.0061,
3304
+ "step": 433
3305
+ },
3306
+ {
3307
+ "epoch": 0.3677966101694915,
3308
+ "grad_norm": 1.4348129034042358,
3309
+ "learning_rate": 1.5939901829747508e-05,
3310
+ "loss": 0.0082,
3311
+ "step": 434
3312
+ },
3313
+ {
3314
+ "epoch": 0.3686440677966102,
3315
+ "grad_norm": 1.2969249486923218,
3316
+ "learning_rate": 1.5916078094901448e-05,
3317
+ "loss": 0.0049,
3318
+ "step": 435
3319
+ },
3320
+ {
3321
+ "epoch": 0.3694915254237288,
3322
+ "grad_norm": 0.5477801561355591,
3323
+ "learning_rate": 1.5892202589324835e-05,
3324
+ "loss": 0.0043,
3325
+ "step": 436
3326
+ },
3327
+ {
3328
+ "epoch": 0.37033898305084745,
3329
+ "grad_norm": 1.7194287776947021,
3330
+ "learning_rate": 1.5868275521948726e-05,
3331
+ "loss": 0.0148,
3332
+ "step": 437
3333
+ },
3334
+ {
3335
+ "epoch": 0.3711864406779661,
3336
+ "grad_norm": 1.6770473718643188,
3337
+ "learning_rate": 1.5844297102155364e-05,
3338
+ "loss": 0.0198,
3339
+ "step": 438
3340
+ },
3341
+ {
3342
+ "epoch": 0.37203389830508476,
3343
+ "grad_norm": 2.6121509075164795,
3344
+ "learning_rate": 1.582026753977638e-05,
3345
+ "loss": 0.0135,
3346
+ "step": 439
3347
+ },
3348
+ {
3349
+ "epoch": 0.3728813559322034,
3350
+ "grad_norm": 2.6553170680999756,
3351
+ "learning_rate": 1.5796187045090943e-05,
3352
+ "loss": 0.0413,
3353
+ "step": 440
3354
+ },
3355
+ {
3356
+ "epoch": 0.3728813559322034,
3357
+ "eval_accuracy": 1.0,
3358
+ "eval_f1": 1.0,
3359
+ "eval_loss": 0.00017413182649761438,
3360
+ "eval_precision": 1.0,
3361
+ "eval_recall": 1.0,
3362
+ "eval_runtime": 51.5352,
3363
+ "eval_samples_per_second": 5.666,
3364
+ "eval_steps_per_second": 0.194,
3365
+ "step": 440
3366
+ },
3367
+ {
3368
+ "epoch": 0.373728813559322,
3369
+ "grad_norm": 1.9083479642868042,
3370
+ "learning_rate": 1.577205582882393e-05,
3371
+ "loss": 0.0052,
3372
+ "step": 441
3373
+ },
3374
+ {
3375
+ "epoch": 0.37457627118644066,
3376
+ "grad_norm": 1.9797714948654175,
3377
+ "learning_rate": 1.5747874102144073e-05,
3378
+ "loss": 0.0103,
3379
+ "step": 442
3380
+ },
3381
+ {
3382
+ "epoch": 0.37542372881355934,
3383
+ "grad_norm": 3.449254035949707,
3384
+ "learning_rate": 1.57236420766621e-05,
3385
+ "loss": 0.0396,
3386
+ "step": 443
3387
+ },
3388
+ {
3389
+ "epoch": 0.376271186440678,
3390
+ "grad_norm": 1.179081916809082,
3391
+ "learning_rate": 1.5699359964428917e-05,
3392
+ "loss": 0.0054,
3393
+ "step": 444
3394
+ },
3395
+ {
3396
+ "epoch": 0.3771186440677966,
3397
+ "grad_norm": 2.9331607818603516,
3398
+ "learning_rate": 1.567502797793372e-05,
3399
+ "loss": 0.0207,
3400
+ "step": 445
3401
+ },
3402
+ {
3403
+ "epoch": 0.37796610169491524,
3404
+ "grad_norm": 2.226416826248169,
3405
+ "learning_rate": 1.5650646330102144e-05,
3406
+ "loss": 0.0225,
3407
+ "step": 446
3408
+ },
3409
+ {
3410
+ "epoch": 0.3788135593220339,
3411
+ "grad_norm": 1.9515255689620972,
3412
+ "learning_rate": 1.5626215234294416e-05,
3413
+ "loss": 0.0122,
3414
+ "step": 447
3415
+ },
3416
+ {
3417
+ "epoch": 0.37966101694915255,
3418
+ "grad_norm": 2.8020267486572266,
3419
+ "learning_rate": 1.560173490430346e-05,
3420
+ "loss": 0.0113,
3421
+ "step": 448
3422
+ },
3423
+ {
3424
+ "epoch": 0.3805084745762712,
3425
+ "grad_norm": 2.073023557662964,
3426
+ "learning_rate": 1.5577205554353056e-05,
3427
+ "loss": 0.0083,
3428
+ "step": 449
3429
+ },
3430
+ {
3431
+ "epoch": 0.3813559322033898,
3432
+ "grad_norm": 1.7509485483169556,
3433
+ "learning_rate": 1.5552627399095943e-05,
3434
+ "loss": 0.0146,
3435
+ "step": 450
3436
+ },
3437
+ {
3438
+ "epoch": 0.3822033898305085,
3439
+ "grad_norm": 1.0263633728027344,
3440
+ "learning_rate": 1.5528000653611935e-05,
3441
+ "loss": 0.0048,
3442
+ "step": 451
3443
+ },
3444
+ {
3445
+ "epoch": 0.38305084745762713,
3446
+ "grad_norm": 0.847665011882782,
3447
+ "learning_rate": 1.5503325533406076e-05,
3448
+ "loss": 0.0096,
3449
+ "step": 452
3450
+ },
3451
+ {
3452
+ "epoch": 0.38389830508474576,
3453
+ "grad_norm": 1.1132762432098389,
3454
+ "learning_rate": 1.5478602254406722e-05,
3455
+ "loss": 0.0046,
3456
+ "step": 453
3457
+ },
3458
+ {
3459
+ "epoch": 0.3847457627118644,
3460
+ "grad_norm": 0.4251544177532196,
3461
+ "learning_rate": 1.5453831032963648e-05,
3462
+ "loss": 0.0034,
3463
+ "step": 454
3464
+ },
3465
+ {
3466
+ "epoch": 0.3855932203389831,
3467
+ "grad_norm": 1.9715460538864136,
3468
+ "learning_rate": 1.5429012085846183e-05,
3469
+ "loss": 0.0159,
3470
+ "step": 455
3471
+ },
3472
+ {
3473
+ "epoch": 0.3864406779661017,
3474
+ "grad_norm": 2.9356298446655273,
3475
+ "learning_rate": 1.5404145630241275e-05,
3476
+ "loss": 0.0379,
3477
+ "step": 456
3478
+ },
3479
+ {
3480
+ "epoch": 0.38728813559322034,
3481
+ "grad_norm": 0.7249993085861206,
3482
+ "learning_rate": 1.537923188375164e-05,
3483
+ "loss": 0.0025,
3484
+ "step": 457
3485
+ },
3486
+ {
3487
+ "epoch": 0.38813559322033897,
3488
+ "grad_norm": 1.8938612937927246,
3489
+ "learning_rate": 1.535427106439381e-05,
3490
+ "loss": 0.0096,
3491
+ "step": 458
3492
+ },
3493
+ {
3494
+ "epoch": 0.3889830508474576,
3495
+ "grad_norm": 3.1911001205444336,
3496
+ "learning_rate": 1.5329263390596245e-05,
3497
+ "loss": 0.0448,
3498
+ "step": 459
3499
+ },
3500
+ {
3501
+ "epoch": 0.3898305084745763,
3502
+ "grad_norm": 2.0256171226501465,
3503
+ "learning_rate": 1.5304209081197425e-05,
3504
+ "loss": 0.0189,
3505
+ "step": 460
3506
+ },
3507
+ {
3508
+ "epoch": 0.3898305084745763,
3509
+ "eval_accuracy": 1.0,
3510
+ "eval_f1": 1.0,
3511
+ "eval_loss": 0.0003800760896410793,
3512
+ "eval_precision": 1.0,
3513
+ "eval_recall": 1.0,
3514
+ "eval_runtime": 51.2193,
3515
+ "eval_samples_per_second": 5.701,
3516
+ "eval_steps_per_second": 0.195,
3517
+ "step": 460
3518
+ },
3519
+ {
3520
+ "epoch": 0.3906779661016949,
3521
+ "grad_norm": 1.5554085969924927,
3522
+ "learning_rate": 1.5279108355443942e-05,
3523
+ "loss": 0.0094,
3524
+ "step": 461
3525
+ },
3526
+ {
3527
+ "epoch": 0.39152542372881355,
3528
+ "grad_norm": 1.625154972076416,
3529
+ "learning_rate": 1.5253961432988548e-05,
3530
+ "loss": 0.0218,
3531
+ "step": 462
3532
+ },
3533
+ {
3534
+ "epoch": 0.3923728813559322,
3535
+ "grad_norm": 1.304267406463623,
3536
+ "learning_rate": 1.5228768533888278e-05,
3537
+ "loss": 0.0065,
3538
+ "step": 463
3539
+ },
3540
+ {
3541
+ "epoch": 0.39322033898305087,
3542
+ "grad_norm": 2.61993408203125,
3543
+ "learning_rate": 1.5203529878602484e-05,
3544
+ "loss": 0.0283,
3545
+ "step": 464
3546
+ },
3547
+ {
3548
+ "epoch": 0.3940677966101695,
3549
+ "grad_norm": 0.5497863292694092,
3550
+ "learning_rate": 1.5178245687990937e-05,
3551
+ "loss": 0.0034,
3552
+ "step": 465
3553
+ },
3554
+ {
3555
+ "epoch": 0.3949152542372881,
3556
+ "grad_norm": 0.8741781711578369,
3557
+ "learning_rate": 1.5152916183311881e-05,
3558
+ "loss": 0.0034,
3559
+ "step": 466
3560
+ },
3561
+ {
3562
+ "epoch": 0.39576271186440676,
3563
+ "grad_norm": 2.4400858879089355,
3564
+ "learning_rate": 1.5127541586220077e-05,
3565
+ "loss": 0.0174,
3566
+ "step": 467
3567
+ },
3568
+ {
3569
+ "epoch": 0.39661016949152544,
3570
+ "grad_norm": 2.425032138824463,
3571
+ "learning_rate": 1.510212211876491e-05,
3572
+ "loss": 0.014,
3573
+ "step": 468
3574
+ },
3575
+ {
3576
+ "epoch": 0.3974576271186441,
3577
+ "grad_norm": 1.969048261642456,
3578
+ "learning_rate": 1.50766580033884e-05,
3579
+ "loss": 0.0231,
3580
+ "step": 469
3581
+ },
3582
+ {
3583
+ "epoch": 0.3983050847457627,
3584
+ "grad_norm": 3.7651619911193848,
3585
+ "learning_rate": 1.5051149462923285e-05,
3586
+ "loss": 0.036,
3587
+ "step": 470
3588
+ },
3589
+ {
3590
+ "epoch": 0.39915254237288134,
3591
+ "grad_norm": 1.2159584760665894,
3592
+ "learning_rate": 1.5025596720591052e-05,
3593
+ "loss": 0.0068,
3594
+ "step": 471
3595
+ },
3596
+ {
3597
+ "epoch": 0.4,
3598
+ "grad_norm": 1.8400602340698242,
3599
+ "learning_rate": 1.5000000000000002e-05,
3600
+ "loss": 0.0111,
3601
+ "step": 472
3602
+ },
3603
+ {
3604
+ "epoch": 0.40084745762711865,
3605
+ "grad_norm": 0.26205798983573914,
3606
+ "learning_rate": 1.4974359525143275e-05,
3607
+ "loss": 0.0017,
3608
+ "step": 473
3609
+ },
3610
+ {
3611
+ "epoch": 0.4016949152542373,
3612
+ "grad_norm": 1.555829405784607,
3613
+ "learning_rate": 1.4948675520396893e-05,
3614
+ "loss": 0.0209,
3615
+ "step": 474
3616
+ },
3617
+ {
3618
+ "epoch": 0.4025423728813559,
3619
+ "grad_norm": 0.8700111508369446,
3620
+ "learning_rate": 1.4922948210517822e-05,
3621
+ "loss": 0.0037,
3622
+ "step": 475
3623
+ },
3624
+ {
3625
+ "epoch": 0.4033898305084746,
3626
+ "grad_norm": 2.0976297855377197,
3627
+ "learning_rate": 1.4897177820641966e-05,
3628
+ "loss": 0.0134,
3629
+ "step": 476
3630
+ },
3631
+ {
3632
+ "epoch": 0.40423728813559323,
3633
+ "grad_norm": 1.7627066373825073,
3634
+ "learning_rate": 1.4871364576282223e-05,
3635
+ "loss": 0.008,
3636
+ "step": 477
3637
+ },
3638
+ {
3639
+ "epoch": 0.40508474576271186,
3640
+ "grad_norm": 0.7504107356071472,
3641
+ "learning_rate": 1.4845508703326504e-05,
3642
+ "loss": 0.0102,
3643
+ "step": 478
3644
+ },
3645
+ {
3646
+ "epoch": 0.4059322033898305,
3647
+ "grad_norm": 1.8525331020355225,
3648
+ "learning_rate": 1.4819610428035754e-05,
3649
+ "loss": 0.019,
3650
+ "step": 479
3651
+ },
3652
+ {
3653
+ "epoch": 0.4067796610169492,
3654
+ "grad_norm": 0.5475234985351562,
3655
+ "learning_rate": 1.4793669977041978e-05,
3656
+ "loss": 0.003,
3657
+ "step": 480
3658
+ },
3659
+ {
3660
+ "epoch": 0.4067796610169492,
3661
+ "eval_accuracy": 1.0,
3662
+ "eval_f1": 1.0,
3663
+ "eval_loss": 0.0002279380423715338,
3664
+ "eval_precision": 1.0,
3665
+ "eval_recall": 1.0,
3666
+ "eval_runtime": 51.1012,
3667
+ "eval_samples_per_second": 5.714,
3668
+ "eval_steps_per_second": 0.196,
3669
+ "step": 480
3670
+ },
3671
+ {
3672
+ "epoch": 0.4076271186440678,
3673
+ "grad_norm": 0.4113156199455261,
3674
+ "learning_rate": 1.4767687577346253e-05,
3675
+ "loss": 0.0031,
3676
+ "step": 481
3677
+ },
3678
+ {
3679
+ "epoch": 0.40847457627118644,
3680
+ "grad_norm": 1.466239094734192,
3681
+ "learning_rate": 1.4741663456316742e-05,
3682
+ "loss": 0.0096,
3683
+ "step": 482
3684
+ },
3685
+ {
3686
+ "epoch": 0.40932203389830507,
3687
+ "grad_norm": 1.421286702156067,
3688
+ "learning_rate": 1.4715597841686708e-05,
3689
+ "loss": 0.0119,
3690
+ "step": 483
3691
+ },
3692
+ {
3693
+ "epoch": 0.4101694915254237,
3694
+ "grad_norm": 1.6936863660812378,
3695
+ "learning_rate": 1.4689490961552513e-05,
3696
+ "loss": 0.0191,
3697
+ "step": 484
3698
+ },
3699
+ {
3700
+ "epoch": 0.4110169491525424,
3701
+ "grad_norm": 2.2526814937591553,
3702
+ "learning_rate": 1.4663343044371635e-05,
3703
+ "loss": 0.018,
3704
+ "step": 485
3705
+ },
3706
+ {
3707
+ "epoch": 0.411864406779661,
3708
+ "grad_norm": 0.3923169672489166,
3709
+ "learning_rate": 1.4637154318960653e-05,
3710
+ "loss": 0.002,
3711
+ "step": 486
3712
+ },
3713
+ {
3714
+ "epoch": 0.41271186440677965,
3715
+ "grad_norm": 1.785679578781128,
3716
+ "learning_rate": 1.461092501449326e-05,
3717
+ "loss": 0.0066,
3718
+ "step": 487
3719
+ },
3720
+ {
3721
+ "epoch": 0.4135593220338983,
3722
+ "grad_norm": 4.866019248962402,
3723
+ "learning_rate": 1.4584655360498245e-05,
3724
+ "loss": 0.0307,
3725
+ "step": 488
3726
+ },
3727
+ {
3728
+ "epoch": 0.41440677966101697,
3729
+ "grad_norm": 3.334535598754883,
3730
+ "learning_rate": 1.4558345586857496e-05,
3731
+ "loss": 0.0293,
3732
+ "step": 489
3733
+ },
3734
+ {
3735
+ "epoch": 0.4152542372881356,
3736
+ "grad_norm": 1.5165126323699951,
3737
+ "learning_rate": 1.4531995923803974e-05,
3738
+ "loss": 0.0156,
3739
+ "step": 490
3740
+ },
3741
+ {
3742
+ "epoch": 0.4161016949152542,
3743
+ "grad_norm": 0.1444772481918335,
3744
+ "learning_rate": 1.450560660191971e-05,
3745
+ "loss": 0.001,
3746
+ "step": 491
3747
+ },
3748
+ {
3749
+ "epoch": 0.41694915254237286,
3750
+ "grad_norm": 1.8422871828079224,
3751
+ "learning_rate": 1.4479177852133787e-05,
3752
+ "loss": 0.0237,
3753
+ "step": 492
3754
+ },
3755
+ {
3756
+ "epoch": 0.41779661016949154,
3757
+ "grad_norm": 0.7579980492591858,
3758
+ "learning_rate": 1.4452709905720314e-05,
3759
+ "loss": 0.0036,
3760
+ "step": 493
3761
+ },
3762
+ {
3763
+ "epoch": 0.4186440677966102,
3764
+ "grad_norm": 0.8799729943275452,
3765
+ "learning_rate": 1.4426202994296401e-05,
3766
+ "loss": 0.0069,
3767
+ "step": 494
3768
+ },
3769
+ {
3770
+ "epoch": 0.4194915254237288,
3771
+ "grad_norm": 0.6293562054634094,
3772
+ "learning_rate": 1.4399657349820136e-05,
3773
+ "loss": 0.0038,
3774
+ "step": 495
3775
+ },
3776
+ {
3777
+ "epoch": 0.42033898305084744,
3778
+ "grad_norm": 0.24156221747398376,
3779
+ "learning_rate": 1.4373073204588556e-05,
3780
+ "loss": 0.0017,
3781
+ "step": 496
3782
+ },
3783
+ {
3784
+ "epoch": 0.4211864406779661,
3785
+ "grad_norm": 0.5691763758659363,
3786
+ "learning_rate": 1.4346450791235611e-05,
3787
+ "loss": 0.0037,
3788
+ "step": 497
3789
+ },
3790
+ {
3791
+ "epoch": 0.42203389830508475,
3792
+ "grad_norm": 1.91914963722229,
3793
+ "learning_rate": 1.4319790342730131e-05,
3794
+ "loss": 0.0214,
3795
+ "step": 498
3796
+ },
3797
+ {
3798
+ "epoch": 0.4228813559322034,
3799
+ "grad_norm": 3.101850748062134,
3800
+ "learning_rate": 1.4293092092373786e-05,
3801
+ "loss": 0.0217,
3802
+ "step": 499
3803
+ },
3804
+ {
3805
+ "epoch": 0.423728813559322,
3806
+ "grad_norm": 1.2713143825531006,
3807
+ "learning_rate": 1.4266356273799044e-05,
3808
+ "loss": 0.0071,
3809
+ "step": 500
3810
+ },
3811
+ {
3812
+ "epoch": 0.423728813559322,
3813
+ "eval_accuracy": 1.0,
3814
+ "eval_f1": 1.0,
3815
+ "eval_loss": 0.0003793275391217321,
3816
+ "eval_precision": 1.0,
3817
+ "eval_recall": 1.0,
3818
+ "eval_runtime": 52.145,
3819
+ "eval_samples_per_second": 5.6,
3820
+ "eval_steps_per_second": 0.192,
3821
+ "step": 500
3822
  }
3823
  ],
3824
  "logging_steps": 1,
 
3838
  "attributes": {}
3839
  }
3840
  },
3841
+ "total_flos": 1.5414191977188557e+17,
3842
  "train_batch_size": 8,
3843
  "trial_name": null,
3844
  "trial_params": null