Jongbin-kr commited on
Commit
2bf486b
·
verified ·
1 Parent(s): f1ae455
.gitattributes CHANGED
@@ -29,3 +29,5 @@ global_step2550/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt filter=lfs diff=l
29
  global_step2550/mp_rank_00_model_states.pt filter=lfs diff=lfs merge=lfs -text
30
  global_step2720/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt filter=lfs diff=lfs merge=lfs -text
31
  global_step2720/mp_rank_00_model_states.pt filter=lfs diff=lfs merge=lfs -text
 
 
 
29
  global_step2550/mp_rank_00_model_states.pt filter=lfs diff=lfs merge=lfs -text
30
  global_step2720/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt filter=lfs diff=lfs merge=lfs -text
31
  global_step2720/mp_rank_00_model_states.pt filter=lfs diff=lfs merge=lfs -text
32
+ global_step2890/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt filter=lfs diff=lfs merge=lfs -text
33
+ global_step2890/mp_rank_00_model_states.pt filter=lfs diff=lfs merge=lfs -text
adapter_model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:1377a547a61df3e253fae7fdc28de08fb751c6561735db32918f4c8d525b0ab2
3
  size 335606536
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a8d0d9804232b2468e167718a32e5d1469a348f40813e1235373edaf94d06ab8
3
  size 335606536
{global_step2720 → global_step2890}/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt RENAMED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:f4ace3614c23e2628738aeb127757a3c39cbbe5a76d5f7197f83af4a5c8f0bd8
3
  size 2013320965
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5ddf07eea9da9f99c6e2b08765d63990e5cb2bc9772cb43c58451bc6f037ac9a
3
  size 2013320965
{global_step2720 → global_step2890}/mp_rank_00_model_states.pt RENAMED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:f9fe347faa8bd24b2b578f94d3f2b4d1e8588c03109978f844f6d3d69270d193
3
  size 335901529
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:da88d15d65bf593fcf36ccb4865d48e8f9b42e8a4453a7c49e14000e93d5531a
3
  size 335901529
latest CHANGED
@@ -1 +1 @@
1
- global_step2720
 
1
+ global_step2890
rng_state.pth CHANGED
Binary files a/rng_state.pth and b/rng_state.pth differ
 
scheduler.pt CHANGED
Binary files a/scheduler.pt and b/scheduler.pt differ
 
trainer_state.json CHANGED
@@ -1,10 +1,10 @@
1
  {
2
- "best_global_step": 2550,
3
- "best_metric": 0.3034323453903198,
4
- "best_model_checkpoint": "/home/longtail/data/outputs/exaone_7b_lora_rtlcoder_ratio1.0/checkpoint-2550",
5
- "epoch": 2.0497456189937817,
6
  "eval_steps": 170,
7
- "global_step": 2720,
8
  "is_hyper_param_search": false,
9
  "is_local_process_zero": true,
10
  "is_world_process_zero": true,
@@ -2904,6 +2904,187 @@
2904
  "eval_samples_per_second": 5.963,
2905
  "eval_steps_per_second": 1.492,
2906
  "step": 2720
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
2907
  }
2908
  ],
2909
  "logging_steps": 10,
@@ -2923,7 +3104,7 @@
2923
  "attributes": {}
2924
  }
2925
  },
2926
- "total_flos": 2.6097961573663375e+18,
2927
  "train_batch_size": 4,
2928
  "trial_name": null,
2929
  "trial_params": null
 
1
  {
2
+ "best_global_step": 2890,
3
+ "best_metric": 0.3028174340724945,
4
+ "best_model_checkpoint": "/home/longtail/data/outputs/exaone_7b_lora_rtlcoder_ratio1.0/checkpoint-2890",
5
+ "epoch": 2.177878273977765,
6
  "eval_steps": 170,
7
+ "global_step": 2890,
8
  "is_hyper_param_search": false,
9
  "is_local_process_zero": true,
10
  "is_world_process_zero": true,
 
2904
  "eval_samples_per_second": 5.963,
2905
  "eval_steps_per_second": 1.492,
2906
  "step": 2720
2907
+ },
2908
+ {
2909
+ "entropy": 0.25732421875,
2910
+ "epoch": 2.0572828339928395,
2911
+ "grad_norm": 0.4523007571697235,
2912
+ "learning_rate": 1.3298346751826624e-05,
2913
+ "loss": 0.2659280300140381,
2914
+ "mean_token_accuracy": 0.9151400104165077,
2915
+ "num_tokens": 34574314.0,
2916
+ "step": 2730
2917
+ },
2918
+ {
2919
+ "entropy": 0.2736328125,
2920
+ "epoch": 2.0648200489918973,
2921
+ "grad_norm": 0.43264201283454895,
2922
+ "learning_rate": 1.3252219281872663e-05,
2923
+ "loss": 0.27533228397369386,
2924
+ "mean_token_accuracy": 0.9147139310836792,
2925
+ "num_tokens": 34694661.0,
2926
+ "step": 2740
2927
+ },
2928
+ {
2929
+ "entropy": 0.25009765625,
2930
+ "epoch": 2.0723572639909555,
2931
+ "grad_norm": 0.38429099321365356,
2932
+ "learning_rate": 1.3206014297659538e-05,
2933
+ "loss": 0.25780477523803713,
2934
+ "mean_token_accuracy": 0.9180345565080643,
2935
+ "num_tokens": 34821985.0,
2936
+ "step": 2750
2937
+ },
2938
+ {
2939
+ "entropy": 0.2557861328125,
2940
+ "epoch": 2.0798944789900133,
2941
+ "grad_norm": 0.40265947580337524,
2942
+ "learning_rate": 1.315973290044913e-05,
2943
+ "loss": 0.26505556106567385,
2944
+ "mean_token_accuracy": 0.9161929801106453,
2945
+ "num_tokens": 34946746.0,
2946
+ "step": 2760
2947
+ },
2948
+ {
2949
+ "entropy": 0.274853515625,
2950
+ "epoch": 2.087431693989071,
2951
+ "grad_norm": 0.3728543519973755,
2952
+ "learning_rate": 1.3113376193324564e-05,
2953
+ "loss": 0.2775618314743042,
2954
+ "mean_token_accuracy": 0.9146954879164696,
2955
+ "num_tokens": 35084683.0,
2956
+ "step": 2770
2957
+ },
2958
+ {
2959
+ "entropy": 0.26063232421875,
2960
+ "epoch": 2.094968908988129,
2961
+ "grad_norm": 0.4594137668609619,
2962
+ "learning_rate": 1.3066945281163923e-05,
2963
+ "loss": 0.2669402837753296,
2964
+ "mean_token_accuracy": 0.9168649092316628,
2965
+ "num_tokens": 35207447.0,
2966
+ "step": 2780
2967
+ },
2968
+ {
2969
+ "entropy": 0.267236328125,
2970
+ "epoch": 2.1025061239871867,
2971
+ "grad_norm": 0.4985879063606262,
2972
+ "learning_rate": 1.302044127061392e-05,
2973
+ "loss": 0.2751408815383911,
2974
+ "mean_token_accuracy": 0.912787701189518,
2975
+ "num_tokens": 35325558.0,
2976
+ "step": 2790
2977
+ },
2978
+ {
2979
+ "entropy": 0.26943359375,
2980
+ "epoch": 2.1100433389862445,
2981
+ "grad_norm": 0.45133885741233826,
2982
+ "learning_rate": 1.2973865270063501e-05,
2983
+ "loss": 0.27563629150390623,
2984
+ "mean_token_accuracy": 0.9126975074410438,
2985
+ "num_tokens": 35451140.0,
2986
+ "step": 2800
2987
+ },
2988
+ {
2989
+ "entropy": 0.2789306640625,
2990
+ "epoch": 2.1175805539853023,
2991
+ "grad_norm": 0.42350032925605774,
2992
+ "learning_rate": 1.2927218389617452e-05,
2993
+ "loss": 0.28734893798828126,
2994
+ "mean_token_accuracy": 0.911960031092167,
2995
+ "num_tokens": 35567497.0,
2996
+ "step": 2810
2997
+ },
2998
+ {
2999
+ "entropy": 0.255517578125,
3000
+ "epoch": 2.12511776898436,
3001
+ "grad_norm": 0.4202309548854828,
3002
+ "learning_rate": 1.2880501741069931e-05,
3003
+ "loss": 0.2654577255249023,
3004
+ "mean_token_accuracy": 0.9167904317378998,
3005
+ "num_tokens": 35695050.0,
3006
+ "step": 2820
3007
+ },
3008
+ {
3009
+ "entropy": 0.23223876953125,
3010
+ "epoch": 2.132654983983418,
3011
+ "grad_norm": 0.44368067383766174,
3012
+ "learning_rate": 1.2833716437877952e-05,
3013
+ "loss": 0.23806145191192626,
3014
+ "mean_token_accuracy": 0.9233140185475349,
3015
+ "num_tokens": 35822236.0,
3016
+ "step": 2830
3017
+ },
3018
+ {
3019
+ "entropy": 0.2786865234375,
3020
+ "epoch": 2.140192198982476,
3021
+ "grad_norm": 0.40076377987861633,
3022
+ "learning_rate": 1.278686359513488e-05,
3023
+ "loss": 0.2845803737640381,
3024
+ "mean_token_accuracy": 0.9122401431202889,
3025
+ "num_tokens": 35958799.0,
3026
+ "step": 2840
3027
+ },
3028
+ {
3029
+ "entropy": 0.2666748046875,
3030
+ "epoch": 2.147729413981534,
3031
+ "grad_norm": 0.4162449538707733,
3032
+ "learning_rate": 1.2739944329543818e-05,
3033
+ "loss": 0.274515962600708,
3034
+ "mean_token_accuracy": 0.9145516887307167,
3035
+ "num_tokens": 36083078.0,
3036
+ "step": 2850
3037
+ },
3038
+ {
3039
+ "entropy": 0.252099609375,
3040
+ "epoch": 2.1552666289805917,
3041
+ "grad_norm": 0.41252174973487854,
3042
+ "learning_rate": 1.2692959759391027e-05,
3043
+ "loss": 0.2631190299987793,
3044
+ "mean_token_accuracy": 0.9182503208518028,
3045
+ "num_tokens": 36203301.0,
3046
+ "step": 2860
3047
+ },
3048
+ {
3049
+ "entropy": 0.2442626953125,
3050
+ "epoch": 2.1628038439796495,
3051
+ "grad_norm": 0.47404617071151733,
3052
+ "learning_rate": 1.2645911004519246e-05,
3053
+ "loss": 0.250153923034668,
3054
+ "mean_token_accuracy": 0.9218041867017746,
3055
+ "num_tokens": 36337562.0,
3056
+ "step": 2870
3057
+ },
3058
+ {
3059
+ "entropy": 0.2638671875,
3060
+ "epoch": 2.1703410589787073,
3061
+ "grad_norm": 0.44618526101112366,
3062
+ "learning_rate": 1.2598799186301003e-05,
3063
+ "loss": 0.26806776523590087,
3064
+ "mean_token_accuracy": 0.9138118460774421,
3065
+ "num_tokens": 36451609.0,
3066
+ "step": 2880
3067
+ },
3068
+ {
3069
+ "entropy": 0.2649169921875,
3070
+ "epoch": 2.177878273977765,
3071
+ "grad_norm": 0.4570532441139221,
3072
+ "learning_rate": 1.2551625427611907e-05,
3073
+ "loss": 0.27152099609375,
3074
+ "mean_token_accuracy": 0.9154557690024376,
3075
+ "num_tokens": 36578083.0,
3076
+ "step": 2890
3077
+ },
3078
+ {
3079
+ "epoch": 2.177878273977765,
3080
+ "eval_entropy": 0.2681899472891566,
3081
+ "eval_loss": 0.3028174340724945,
3082
+ "eval_mean_token_accuracy": 0.9079541289303676,
3083
+ "eval_num_tokens": 36578083.0,
3084
+ "eval_runtime": 445.3242,
3085
+ "eval_samples_per_second": 5.957,
3086
+ "eval_steps_per_second": 1.491,
3087
+ "step": 2890
3088
  }
3089
  ],
3090
  "logging_steps": 10,
 
3104
  "attributes": {}
3105
  }
3106
  },
3107
+ "total_flos": 2.7708789068765594e+18,
3108
  "train_batch_size": 4,
3109
  "trial_name": null,
3110
  "trial_params": null