arcwarden46 commited on
Commit
4d2fd58
·
verified ·
1 Parent(s): ece0fa6

Training in progress, step 500, 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:b085157f0473441fb9977d3df11a7a4e193b6bdf47d705257fba06b83141453a
3
  size 289452128
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e3df5ef1d2ce5b02479ceb8e3ff2c26303b53b7924fe7487ea356dcac19c2031
3
  size 289452128
last-checkpoint/optimizer.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:034873755ff7773119caf8c281745405cc671d8e01312b19148a01f4c30f2e83
3
  size 147360212
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f88b8faa4dc76b21ec9d652300c7f1c59b14f5c7e5ac47c3b13c0b8d662d7ce3
3
  size 147360212
last-checkpoint/rng_state.pth CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:c42e7102d7712bedf568055f461ee69fd9419d0183ab66940d3e4fb3204d09fe
3
  size 14244
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8951b704db56af5e70fa3834be5689c67fd8794fc01b847766f858aee8282b5f
3
  size 14244
last-checkpoint/scheduler.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:505f9225762b105f8ca5168f44d99b2f8467174f4ade85f1cc95f684fbd828e0
3
  size 1064
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:fe1d153de177b356f9e3a70d6e4ec979560b0c300994e71ca4cb89afc74c5b3a
3
  size 1064
last-checkpoint/trainer_state.json CHANGED
@@ -1,9 +1,9 @@
1
  {
2
- "best_metric": 0.6768385171890259,
3
- "best_model_checkpoint": "miner_id_24/checkpoint-400",
4
- "epoch": 0.07969318125217911,
5
  "eval_steps": 100,
6
- "global_step": 400,
7
  "is_hyper_param_search": false,
8
  "is_local_process_zero": true,
9
  "is_world_process_zero": true,
@@ -2847,6 +2847,714 @@
2847
  "eval_samples_per_second": 31.851,
2848
  "eval_steps_per_second": 7.965,
2849
  "step": 400
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
2850
  }
2851
  ],
2852
  "logging_steps": 1,
@@ -2870,12 +3578,12 @@
2870
  "should_evaluate": false,
2871
  "should_log": false,
2872
  "should_save": true,
2873
- "should_training_stop": false
2874
  },
2875
  "attributes": {}
2876
  }
2877
  },
2878
- "total_flos": 1.3302341221692211e+17,
2879
  "train_batch_size": 8,
2880
  "trial_name": null,
2881
  "trial_params": null
 
1
  {
2
+ "best_metric": 0.6748951077461243,
3
+ "best_model_checkpoint": "miner_id_24/checkpoint-500",
4
+ "epoch": 0.09961647656522389,
5
  "eval_steps": 100,
6
+ "global_step": 500,
7
  "is_hyper_param_search": false,
8
  "is_local_process_zero": true,
9
  "is_world_process_zero": true,
 
2847
  "eval_samples_per_second": 31.851,
2848
  "eval_steps_per_second": 7.965,
2849
  "step": 400
2850
+ },
2851
+ {
2852
+ "epoch": 0.07989241420530956,
2853
+ "grad_norm": 0.19331474602222443,
2854
+ "learning_rate": 1.013396731136465e-05,
2855
+ "loss": 0.5627,
2856
+ "step": 401
2857
+ },
2858
+ {
2859
+ "epoch": 0.08009164715844,
2860
+ "grad_norm": 0.24819611012935638,
2861
+ "learning_rate": 9.937309365446973e-06,
2862
+ "loss": 0.7396,
2863
+ "step": 402
2864
+ },
2865
+ {
2866
+ "epoch": 0.08029088011157046,
2867
+ "grad_norm": 0.2520431578159332,
2868
+ "learning_rate": 9.742367571857091e-06,
2869
+ "loss": 0.6631,
2870
+ "step": 403
2871
+ },
2872
+ {
2873
+ "epoch": 0.0804901130647009,
2874
+ "grad_norm": 0.21120384335517883,
2875
+ "learning_rate": 9.549150281252633e-06,
2876
+ "loss": 0.6727,
2877
+ "step": 404
2878
+ },
2879
+ {
2880
+ "epoch": 0.08068934601783134,
2881
+ "grad_norm": 0.20902977883815765,
2882
+ "learning_rate": 9.357665770419244e-06,
2883
+ "loss": 0.6242,
2884
+ "step": 405
2885
+ },
2886
+ {
2887
+ "epoch": 0.0808885789709618,
2888
+ "grad_norm": 0.18309302628040314,
2889
+ "learning_rate": 9.167922241916055e-06,
2890
+ "loss": 0.5031,
2891
+ "step": 406
2892
+ },
2893
+ {
2894
+ "epoch": 0.08108781192409224,
2895
+ "grad_norm": 0.21523945033550262,
2896
+ "learning_rate": 8.97992782372432e-06,
2897
+ "loss": 0.6427,
2898
+ "step": 407
2899
+ },
2900
+ {
2901
+ "epoch": 0.08128704487722269,
2902
+ "grad_norm": 0.22867245972156525,
2903
+ "learning_rate": 8.793690568899216e-06,
2904
+ "loss": 0.6857,
2905
+ "step": 408
2906
+ },
2907
+ {
2908
+ "epoch": 0.08148627783035314,
2909
+ "grad_norm": 0.2331218272447586,
2910
+ "learning_rate": 8.609218455224893e-06,
2911
+ "loss": 0.6583,
2912
+ "step": 409
2913
+ },
2914
+ {
2915
+ "epoch": 0.08168551078348359,
2916
+ "grad_norm": 0.2502421736717224,
2917
+ "learning_rate": 8.426519384872733e-06,
2918
+ "loss": 0.7734,
2919
+ "step": 410
2920
+ },
2921
+ {
2922
+ "epoch": 0.08188474373661403,
2923
+ "grad_norm": 0.22778432071208954,
2924
+ "learning_rate": 8.245601184062852e-06,
2925
+ "loss": 0.6216,
2926
+ "step": 411
2927
+ },
2928
+ {
2929
+ "epoch": 0.08208397668974449,
2930
+ "grad_norm": 0.20863741636276245,
2931
+ "learning_rate": 8.066471602728803e-06,
2932
+ "loss": 0.5912,
2933
+ "step": 412
2934
+ },
2935
+ {
2936
+ "epoch": 0.08228320964287493,
2937
+ "grad_norm": 0.22159984707832336,
2938
+ "learning_rate": 7.889138314185678e-06,
2939
+ "loss": 0.6247,
2940
+ "step": 413
2941
+ },
2942
+ {
2943
+ "epoch": 0.08248244259600537,
2944
+ "grad_norm": 0.2666146457195282,
2945
+ "learning_rate": 7.71360891480134e-06,
2946
+ "loss": 0.748,
2947
+ "step": 414
2948
+ },
2949
+ {
2950
+ "epoch": 0.08268167554913583,
2951
+ "grad_norm": 0.25675085186958313,
2952
+ "learning_rate": 7.539890923671062e-06,
2953
+ "loss": 0.6865,
2954
+ "step": 415
2955
+ },
2956
+ {
2957
+ "epoch": 0.08288090850226627,
2958
+ "grad_norm": 0.24603363871574402,
2959
+ "learning_rate": 7.367991782295391e-06,
2960
+ "loss": 0.6717,
2961
+ "step": 416
2962
+ },
2963
+ {
2964
+ "epoch": 0.08308014145539672,
2965
+ "grad_norm": 0.31044501066207886,
2966
+ "learning_rate": 7.197918854261432e-06,
2967
+ "loss": 0.662,
2968
+ "step": 417
2969
+ },
2970
+ {
2971
+ "epoch": 0.08327937440852717,
2972
+ "grad_norm": 0.22573980689048767,
2973
+ "learning_rate": 7.029679424927365e-06,
2974
+ "loss": 0.6391,
2975
+ "step": 418
2976
+ },
2977
+ {
2978
+ "epoch": 0.08347860736165762,
2979
+ "grad_norm": 0.22419226169586182,
2980
+ "learning_rate": 6.863280701110408e-06,
2981
+ "loss": 0.6233,
2982
+ "step": 419
2983
+ },
2984
+ {
2985
+ "epoch": 0.08367784031478806,
2986
+ "grad_norm": 0.2326180338859558,
2987
+ "learning_rate": 6.698729810778065e-06,
2988
+ "loss": 0.7135,
2989
+ "step": 420
2990
+ },
2991
+ {
2992
+ "epoch": 0.08387707326791852,
2993
+ "grad_norm": 0.2318958342075348,
2994
+ "learning_rate": 6.536033802742813e-06,
2995
+ "loss": 0.6337,
2996
+ "step": 421
2997
+ },
2998
+ {
2999
+ "epoch": 0.08407630622104896,
3000
+ "grad_norm": 0.24011459946632385,
3001
+ "learning_rate": 6.375199646360142e-06,
3002
+ "loss": 0.6822,
3003
+ "step": 422
3004
+ },
3005
+ {
3006
+ "epoch": 0.0842755391741794,
3007
+ "grad_norm": 0.25653573870658875,
3008
+ "learning_rate": 6.216234231230012e-06,
3009
+ "loss": 0.6508,
3010
+ "step": 423
3011
+ },
3012
+ {
3013
+ "epoch": 0.08447477212730986,
3014
+ "grad_norm": 0.22322338819503784,
3015
+ "learning_rate": 6.059144366901736e-06,
3016
+ "loss": 0.6078,
3017
+ "step": 424
3018
+ },
3019
+ {
3020
+ "epoch": 0.0846740050804403,
3021
+ "grad_norm": 0.2577781677246094,
3022
+ "learning_rate": 5.903936782582253e-06,
3023
+ "loss": 0.683,
3024
+ "step": 425
3025
+ },
3026
+ {
3027
+ "epoch": 0.08487323803357075,
3028
+ "grad_norm": 0.22077085077762604,
3029
+ "learning_rate": 5.750618126847912e-06,
3030
+ "loss": 0.6902,
3031
+ "step": 426
3032
+ },
3033
+ {
3034
+ "epoch": 0.0850724709867012,
3035
+ "grad_norm": 0.2472268044948578,
3036
+ "learning_rate": 5.599194967359639e-06,
3037
+ "loss": 0.6837,
3038
+ "step": 427
3039
+ },
3040
+ {
3041
+ "epoch": 0.08527170393983165,
3042
+ "grad_norm": 0.22269569337368011,
3043
+ "learning_rate": 5.449673790581611e-06,
3044
+ "loss": 0.6202,
3045
+ "step": 428
3046
+ },
3047
+ {
3048
+ "epoch": 0.08547093689296209,
3049
+ "grad_norm": 0.21259906888008118,
3050
+ "learning_rate": 5.302061001503394e-06,
3051
+ "loss": 0.6024,
3052
+ "step": 429
3053
+ },
3054
+ {
3055
+ "epoch": 0.08567016984609255,
3056
+ "grad_norm": 0.24221090972423553,
3057
+ "learning_rate": 5.156362923365588e-06,
3058
+ "loss": 0.6671,
3059
+ "step": 430
3060
+ },
3061
+ {
3062
+ "epoch": 0.08586940279922299,
3063
+ "grad_norm": 0.24661476910114288,
3064
+ "learning_rate": 5.012585797388936e-06,
3065
+ "loss": 0.658,
3066
+ "step": 431
3067
+ },
3068
+ {
3069
+ "epoch": 0.08606863575235343,
3070
+ "grad_norm": 0.2605218291282654,
3071
+ "learning_rate": 4.87073578250698e-06,
3072
+ "loss": 0.63,
3073
+ "step": 432
3074
+ },
3075
+ {
3076
+ "epoch": 0.08626786870548389,
3077
+ "grad_norm": 0.2187577337026596,
3078
+ "learning_rate": 4.730818955102234e-06,
3079
+ "loss": 0.5845,
3080
+ "step": 433
3081
+ },
3082
+ {
3083
+ "epoch": 0.08646710165861433,
3084
+ "grad_norm": 0.2221374809741974,
3085
+ "learning_rate": 4.592841308745932e-06,
3086
+ "loss": 0.5466,
3087
+ "step": 434
3088
+ },
3089
+ {
3090
+ "epoch": 0.08666633461174478,
3091
+ "grad_norm": 0.2580986022949219,
3092
+ "learning_rate": 4.456808753941205e-06,
3093
+ "loss": 0.6753,
3094
+ "step": 435
3095
+ },
3096
+ {
3097
+ "epoch": 0.08686556756487523,
3098
+ "grad_norm": 0.2541551887989044,
3099
+ "learning_rate": 4.322727117869951e-06,
3100
+ "loss": 0.655,
3101
+ "step": 436
3102
+ },
3103
+ {
3104
+ "epoch": 0.08706480051800568,
3105
+ "grad_norm": 0.31278523802757263,
3106
+ "learning_rate": 4.190602144143207e-06,
3107
+ "loss": 0.7489,
3108
+ "step": 437
3109
+ },
3110
+ {
3111
+ "epoch": 0.08726403347113612,
3112
+ "grad_norm": 0.2648221552371979,
3113
+ "learning_rate": 4.06043949255509e-06,
3114
+ "loss": 0.6957,
3115
+ "step": 438
3116
+ },
3117
+ {
3118
+ "epoch": 0.08746326642426658,
3119
+ "grad_norm": 0.2753226161003113,
3120
+ "learning_rate": 3.932244738840379e-06,
3121
+ "loss": 0.6294,
3122
+ "step": 439
3123
+ },
3124
+ {
3125
+ "epoch": 0.08766249937739702,
3126
+ "grad_norm": 0.26904359459877014,
3127
+ "learning_rate": 3.8060233744356633e-06,
3128
+ "loss": 0.7311,
3129
+ "step": 440
3130
+ },
3131
+ {
3132
+ "epoch": 0.08786173233052746,
3133
+ "grad_norm": 0.26399528980255127,
3134
+ "learning_rate": 3.681780806244095e-06,
3135
+ "loss": 0.6948,
3136
+ "step": 441
3137
+ },
3138
+ {
3139
+ "epoch": 0.08806096528365792,
3140
+ "grad_norm": 0.2822622060775757,
3141
+ "learning_rate": 3.5595223564037884e-06,
3142
+ "loss": 0.6786,
3143
+ "step": 442
3144
+ },
3145
+ {
3146
+ "epoch": 0.08826019823678836,
3147
+ "grad_norm": 0.265007346868515,
3148
+ "learning_rate": 3.4392532620598216e-06,
3149
+ "loss": 0.7124,
3150
+ "step": 443
3151
+ },
3152
+ {
3153
+ "epoch": 0.08845943118991881,
3154
+ "grad_norm": 0.257730633020401,
3155
+ "learning_rate": 3.3209786751399187e-06,
3156
+ "loss": 0.6245,
3157
+ "step": 444
3158
+ },
3159
+ {
3160
+ "epoch": 0.08865866414304927,
3161
+ "grad_norm": 0.30108872056007385,
3162
+ "learning_rate": 3.2047036621337236e-06,
3163
+ "loss": 0.7926,
3164
+ "step": 445
3165
+ },
3166
+ {
3167
+ "epoch": 0.08885789709617971,
3168
+ "grad_norm": 0.3035549819469452,
3169
+ "learning_rate": 3.0904332038757977e-06,
3170
+ "loss": 0.8031,
3171
+ "step": 446
3172
+ },
3173
+ {
3174
+ "epoch": 0.08905713004931015,
3175
+ "grad_norm": 0.2673462927341461,
3176
+ "learning_rate": 2.978172195332263e-06,
3177
+ "loss": 0.6643,
3178
+ "step": 447
3179
+ },
3180
+ {
3181
+ "epoch": 0.08925636300244061,
3182
+ "grad_norm": 0.3156924545764923,
3183
+ "learning_rate": 2.8679254453910785e-06,
3184
+ "loss": 0.7175,
3185
+ "step": 448
3186
+ },
3187
+ {
3188
+ "epoch": 0.08945559595557105,
3189
+ "grad_norm": 0.29648149013519287,
3190
+ "learning_rate": 2.759697676656098e-06,
3191
+ "loss": 0.7006,
3192
+ "step": 449
3193
+ },
3194
+ {
3195
+ "epoch": 0.0896548289087015,
3196
+ "grad_norm": 0.304087370634079,
3197
+ "learning_rate": 2.653493525244721e-06,
3198
+ "loss": 0.6956,
3199
+ "step": 450
3200
+ },
3201
+ {
3202
+ "epoch": 0.08985406186183195,
3203
+ "grad_norm": 0.18861311674118042,
3204
+ "learning_rate": 2.549317540589308e-06,
3205
+ "loss": 0.5796,
3206
+ "step": 451
3207
+ },
3208
+ {
3209
+ "epoch": 0.0900532948149624,
3210
+ "grad_norm": 0.20030918717384338,
3211
+ "learning_rate": 2.4471741852423237e-06,
3212
+ "loss": 0.5735,
3213
+ "step": 452
3214
+ },
3215
+ {
3216
+ "epoch": 0.09025252776809284,
3217
+ "grad_norm": 0.20259323716163635,
3218
+ "learning_rate": 2.3470678346851518e-06,
3219
+ "loss": 0.5841,
3220
+ "step": 453
3221
+ },
3222
+ {
3223
+ "epoch": 0.0904517607212233,
3224
+ "grad_norm": 0.22177210450172424,
3225
+ "learning_rate": 2.2490027771406687e-06,
3226
+ "loss": 0.6743,
3227
+ "step": 454
3228
+ },
3229
+ {
3230
+ "epoch": 0.09065099367435374,
3231
+ "grad_norm": 0.20536138117313385,
3232
+ "learning_rate": 2.152983213389559e-06,
3233
+ "loss": 0.6299,
3234
+ "step": 455
3235
+ },
3236
+ {
3237
+ "epoch": 0.09085022662748418,
3238
+ "grad_norm": 0.21932297945022583,
3239
+ "learning_rate": 2.0590132565903476e-06,
3240
+ "loss": 0.7102,
3241
+ "step": 456
3242
+ },
3243
+ {
3244
+ "epoch": 0.09104945958061464,
3245
+ "grad_norm": 0.1917608678340912,
3246
+ "learning_rate": 1.9670969321032407e-06,
3247
+ "loss": 0.5939,
3248
+ "step": 457
3249
+ },
3250
+ {
3251
+ "epoch": 0.09124869253374508,
3252
+ "grad_norm": 0.21632328629493713,
3253
+ "learning_rate": 1.8772381773176417e-06,
3254
+ "loss": 0.6413,
3255
+ "step": 458
3256
+ },
3257
+ {
3258
+ "epoch": 0.09144792548687553,
3259
+ "grad_norm": 0.23702724277973175,
3260
+ "learning_rate": 1.7894408414835362e-06,
3261
+ "loss": 0.6321,
3262
+ "step": 459
3263
+ },
3264
+ {
3265
+ "epoch": 0.09164715844000598,
3266
+ "grad_norm": 0.2379865050315857,
3267
+ "learning_rate": 1.70370868554659e-06,
3268
+ "loss": 0.6566,
3269
+ "step": 460
3270
+ },
3271
+ {
3272
+ "epoch": 0.09184639139313643,
3273
+ "grad_norm": 0.23803111910820007,
3274
+ "learning_rate": 1.620045381987012e-06,
3275
+ "loss": 0.6265,
3276
+ "step": 461
3277
+ },
3278
+ {
3279
+ "epoch": 0.09204562434626687,
3280
+ "grad_norm": 0.23217985033988953,
3281
+ "learning_rate": 1.5384545146622852e-06,
3282
+ "loss": 0.7032,
3283
+ "step": 462
3284
+ },
3285
+ {
3286
+ "epoch": 0.09224485729939733,
3287
+ "grad_norm": 0.2249220609664917,
3288
+ "learning_rate": 1.4589395786535953e-06,
3289
+ "loss": 0.608,
3290
+ "step": 463
3291
+ },
3292
+ {
3293
+ "epoch": 0.09244409025252777,
3294
+ "grad_norm": 0.21133165061473846,
3295
+ "learning_rate": 1.3815039801161721e-06,
3296
+ "loss": 0.6084,
3297
+ "step": 464
3298
+ },
3299
+ {
3300
+ "epoch": 0.09264332320565821,
3301
+ "grad_norm": 0.22552044689655304,
3302
+ "learning_rate": 1.3061510361333185e-06,
3303
+ "loss": 0.6371,
3304
+ "step": 465
3305
+ },
3306
+ {
3307
+ "epoch": 0.09284255615878867,
3308
+ "grad_norm": 0.2244846075773239,
3309
+ "learning_rate": 1.232883974574367e-06,
3310
+ "loss": 0.654,
3311
+ "step": 466
3312
+ },
3313
+ {
3314
+ "epoch": 0.09304178911191911,
3315
+ "grad_norm": 0.24191239476203918,
3316
+ "learning_rate": 1.1617059339563807e-06,
3317
+ "loss": 0.7616,
3318
+ "step": 467
3319
+ },
3320
+ {
3321
+ "epoch": 0.09324102206504956,
3322
+ "grad_norm": 0.22811263799667358,
3323
+ "learning_rate": 1.0926199633097157e-06,
3324
+ "loss": 0.6378,
3325
+ "step": 468
3326
+ },
3327
+ {
3328
+ "epoch": 0.09344025501818001,
3329
+ "grad_norm": 0.22340433299541473,
3330
+ "learning_rate": 1.0256290220474307e-06,
3331
+ "loss": 0.596,
3332
+ "step": 469
3333
+ },
3334
+ {
3335
+ "epoch": 0.09363948797131046,
3336
+ "grad_norm": 0.24107715487480164,
3337
+ "learning_rate": 9.607359798384785e-07,
3338
+ "loss": 0.6633,
3339
+ "step": 470
3340
+ },
3341
+ {
3342
+ "epoch": 0.0938387209244409,
3343
+ "grad_norm": 0.24450042843818665,
3344
+ "learning_rate": 8.979436164848088e-07,
3345
+ "loss": 0.706,
3346
+ "step": 471
3347
+ },
3348
+ {
3349
+ "epoch": 0.09403795387757136,
3350
+ "grad_norm": 0.24326194822788239,
3351
+ "learning_rate": 8.372546218022747e-07,
3352
+ "loss": 0.6342,
3353
+ "step": 472
3354
+ },
3355
+ {
3356
+ "epoch": 0.0942371868307018,
3357
+ "grad_norm": 0.25381046533584595,
3358
+ "learning_rate": 7.786715955054203e-07,
3359
+ "loss": 0.6603,
3360
+ "step": 473
3361
+ },
3362
+ {
3363
+ "epoch": 0.09443641978383224,
3364
+ "grad_norm": 0.24382087588310242,
3365
+ "learning_rate": 7.221970470961125e-07,
3366
+ "loss": 0.638,
3367
+ "step": 474
3368
+ },
3369
+ {
3370
+ "epoch": 0.0946356527369627,
3371
+ "grad_norm": 0.27060163021087646,
3372
+ "learning_rate": 6.678333957560512e-07,
3373
+ "loss": 0.7178,
3374
+ "step": 475
3375
+ },
3376
+ {
3377
+ "epoch": 0.09483488569009314,
3378
+ "grad_norm": 0.24051162600517273,
3379
+ "learning_rate": 6.15582970243117e-07,
3380
+ "loss": 0.5669,
3381
+ "step": 476
3382
+ },
3383
+ {
3384
+ "epoch": 0.09503411864322359,
3385
+ "grad_norm": 0.2567567527294159,
3386
+ "learning_rate": 5.654480087916303e-07,
3387
+ "loss": 0.6944,
3388
+ "step": 477
3389
+ },
3390
+ {
3391
+ "epoch": 0.09523335159635404,
3392
+ "grad_norm": 0.2464078813791275,
3393
+ "learning_rate": 5.174306590164879e-07,
3394
+ "loss": 0.7134,
3395
+ "step": 478
3396
+ },
3397
+ {
3398
+ "epoch": 0.09543258454948449,
3399
+ "grad_norm": 0.2505365014076233,
3400
+ "learning_rate": 4.715329778211375e-07,
3401
+ "loss": 0.7042,
3402
+ "step": 479
3403
+ },
3404
+ {
3405
+ "epoch": 0.09563181750261493,
3406
+ "grad_norm": 0.253229022026062,
3407
+ "learning_rate": 4.277569313094809e-07,
3408
+ "loss": 0.6158,
3409
+ "step": 480
3410
+ },
3411
+ {
3412
+ "epoch": 0.09583105045574539,
3413
+ "grad_norm": 0.23370255529880524,
3414
+ "learning_rate": 3.8610439470164737e-07,
3415
+ "loss": 0.6129,
3416
+ "step": 481
3417
+ },
3418
+ {
3419
+ "epoch": 0.09603028340887583,
3420
+ "grad_norm": 0.23140022158622742,
3421
+ "learning_rate": 3.465771522536854e-07,
3422
+ "loss": 0.5864,
3423
+ "step": 482
3424
+ },
3425
+ {
3426
+ "epoch": 0.09622951636200627,
3427
+ "grad_norm": 0.2647562026977539,
3428
+ "learning_rate": 3.09176897181096e-07,
3429
+ "loss": 0.6768,
3430
+ "step": 483
3431
+ },
3432
+ {
3433
+ "epoch": 0.09642874931513673,
3434
+ "grad_norm": 0.2301555573940277,
3435
+ "learning_rate": 2.7390523158633554e-07,
3436
+ "loss": 0.6862,
3437
+ "step": 484
3438
+ },
3439
+ {
3440
+ "epoch": 0.09662798226826717,
3441
+ "grad_norm": 0.25709620118141174,
3442
+ "learning_rate": 2.407636663901591e-07,
3443
+ "loss": 0.6935,
3444
+ "step": 485
3445
+ },
3446
+ {
3447
+ "epoch": 0.09682721522139762,
3448
+ "grad_norm": 0.27146580815315247,
3449
+ "learning_rate": 2.0975362126691712e-07,
3450
+ "loss": 0.7363,
3451
+ "step": 486
3452
+ },
3453
+ {
3454
+ "epoch": 0.09702644817452807,
3455
+ "grad_norm": 0.25563889741897583,
3456
+ "learning_rate": 1.8087642458373134e-07,
3457
+ "loss": 0.6381,
3458
+ "step": 487
3459
+ },
3460
+ {
3461
+ "epoch": 0.09722568112765852,
3462
+ "grad_norm": 0.2607404291629791,
3463
+ "learning_rate": 1.5413331334360182e-07,
3464
+ "loss": 0.6381,
3465
+ "step": 488
3466
+ },
3467
+ {
3468
+ "epoch": 0.09742491408078896,
3469
+ "grad_norm": 0.25664660334587097,
3470
+ "learning_rate": 1.2952543313240472e-07,
3471
+ "loss": 0.7206,
3472
+ "step": 489
3473
+ },
3474
+ {
3475
+ "epoch": 0.0976241470339194,
3476
+ "grad_norm": 0.26443812251091003,
3477
+ "learning_rate": 1.0705383806982606e-07,
3478
+ "loss": 0.6878,
3479
+ "step": 490
3480
+ },
3481
+ {
3482
+ "epoch": 0.09782337998704986,
3483
+ "grad_norm": 0.24642571806907654,
3484
+ "learning_rate": 8.671949076420882e-08,
3485
+ "loss": 0.6992,
3486
+ "step": 491
3487
+ },
3488
+ {
3489
+ "epoch": 0.0980226129401803,
3490
+ "grad_norm": 0.25187572836875916,
3491
+ "learning_rate": 6.852326227130834e-08,
3492
+ "loss": 0.7137,
3493
+ "step": 492
3494
+ },
3495
+ {
3496
+ "epoch": 0.09822184589331075,
3497
+ "grad_norm": 0.3068501651287079,
3498
+ "learning_rate": 5.246593205699424e-08,
3499
+ "loss": 0.7202,
3500
+ "step": 493
3501
+ },
3502
+ {
3503
+ "epoch": 0.0984210788464412,
3504
+ "grad_norm": 0.2589758634567261,
3505
+ "learning_rate": 3.8548187963854956e-08,
3506
+ "loss": 0.6706,
3507
+ "step": 494
3508
+ },
3509
+ {
3510
+ "epoch": 0.09862031179957165,
3511
+ "grad_norm": 0.2692635953426361,
3512
+ "learning_rate": 2.6770626181715773e-08,
3513
+ "loss": 0.6816,
3514
+ "step": 495
3515
+ },
3516
+ {
3517
+ "epoch": 0.09881954475270209,
3518
+ "grad_norm": 0.2632291615009308,
3519
+ "learning_rate": 1.7133751222137007e-08,
3520
+ "loss": 0.6855,
3521
+ "step": 496
3522
+ },
3523
+ {
3524
+ "epoch": 0.09901877770583255,
3525
+ "grad_norm": 0.27418622374534607,
3526
+ "learning_rate": 9.637975896759077e-09,
3527
+ "loss": 0.7329,
3528
+ "step": 497
3529
+ },
3530
+ {
3531
+ "epoch": 0.09921801065896299,
3532
+ "grad_norm": 0.2903919816017151,
3533
+ "learning_rate": 4.2836212996499865e-09,
3534
+ "loss": 0.7565,
3535
+ "step": 498
3536
+ },
3537
+ {
3538
+ "epoch": 0.09941724361209343,
3539
+ "grad_norm": 0.3054603636264801,
3540
+ "learning_rate": 1.0709167935385455e-09,
3541
+ "loss": 0.7183,
3542
+ "step": 499
3543
+ },
3544
+ {
3545
+ "epoch": 0.09961647656522389,
3546
+ "grad_norm": 0.30139267444610596,
3547
+ "learning_rate": 0.0,
3548
+ "loss": 0.6969,
3549
+ "step": 500
3550
+ },
3551
+ {
3552
+ "epoch": 0.09961647656522389,
3553
+ "eval_loss": 0.6748951077461243,
3554
+ "eval_runtime": 265.2168,
3555
+ "eval_samples_per_second": 31.876,
3556
+ "eval_steps_per_second": 7.971,
3557
+ "step": 500
3558
  }
3559
  ],
3560
  "logging_steps": 1,
 
3578
  "should_evaluate": false,
3579
  "should_log": false,
3580
  "should_save": true,
3581
+ "should_training_stop": true
3582
  },
3583
  "attributes": {}
3584
  }
3585
  },
3586
+ "total_flos": 1.6627926527115264e+17,
3587
  "train_batch_size": 8,
3588
  "trial_name": null,
3589
  "trial_params": null