Training in progress, step 4500, 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:
|
3 |
size 5323528
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9197a884173d9c36c93a016c2f30534c3f05c90874cb72eed644075307e2fce3
|
3 |
size 5323528
|
last-checkpoint/optimizer.pt
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 10707706
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:3eb84df5445e2433de304b15e77a1175375dd2d8c25dc61c78681c28414293e5
|
3 |
size 10707706
|
last-checkpoint/rng_state.pth
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 14244
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:75f78ad885bfca269044336e349d57c368367d27fdbb75021a699360ecf7bb2b
|
3 |
size 14244
|
last-checkpoint/scheduler.pt
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 1064
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:48a8d4a8a8e577d9dbdb51f074c9b711b4edce95beedab354e7f35ce094aeb0d
|
3 |
size 1064
|
last-checkpoint/trainer_state.json
CHANGED
@@ -1,9 +1,9 @@
|
|
1 |
{
|
2 |
-
"best_metric": 0.
|
3 |
-
"best_model_checkpoint": "bart_lora_outputs\\checkpoint-
|
4 |
-
"epoch":
|
5 |
"eval_steps": 100,
|
6 |
-
"global_step":
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
@@ -2727,13 +2727,353 @@
|
|
2727 |
"eval_samples_per_second": 88.699,
|
2728 |
"eval_steps_per_second": 11.135,
|
2729 |
"step": 4000
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
2730 |
}
|
2731 |
],
|
2732 |
"logging_steps": 10,
|
2733 |
"max_steps": 6130,
|
2734 |
"num_train_epochs": 10,
|
2735 |
"save_steps": 500,
|
2736 |
-
"total_flos":
|
2737 |
"trial_name": null,
|
2738 |
"trial_params": null
|
2739 |
}
|
|
|
1 |
{
|
2 |
+
"best_metric": 0.41941431164741516,
|
3 |
+
"best_model_checkpoint": "bart_lora_outputs\\checkpoint-4500",
|
4 |
+
"epoch": 7.3409461663947795,
|
5 |
"eval_steps": 100,
|
6 |
+
"global_step": 4500,
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
|
|
2727 |
"eval_samples_per_second": 88.699,
|
2728 |
"eval_steps_per_second": 11.135,
|
2729 |
"step": 4000
|
2730 |
+
},
|
2731 |
+
{
|
2732 |
+
"epoch": 6.54,
|
2733 |
+
"learning_rate": 0.0003765541740674956,
|
2734 |
+
"loss": 0.4198,
|
2735 |
+
"step": 4010
|
2736 |
+
},
|
2737 |
+
{
|
2738 |
+
"epoch": 6.56,
|
2739 |
+
"learning_rate": 0.0003747779751332149,
|
2740 |
+
"loss": 0.3908,
|
2741 |
+
"step": 4020
|
2742 |
+
},
|
2743 |
+
{
|
2744 |
+
"epoch": 6.57,
|
2745 |
+
"learning_rate": 0.00037300177619893426,
|
2746 |
+
"loss": 0.4296,
|
2747 |
+
"step": 4030
|
2748 |
+
},
|
2749 |
+
{
|
2750 |
+
"epoch": 6.59,
|
2751 |
+
"learning_rate": 0.00037122557726465365,
|
2752 |
+
"loss": 0.4183,
|
2753 |
+
"step": 4040
|
2754 |
+
},
|
2755 |
+
{
|
2756 |
+
"epoch": 6.61,
|
2757 |
+
"learning_rate": 0.000369449378330373,
|
2758 |
+
"loss": 0.4371,
|
2759 |
+
"step": 4050
|
2760 |
+
},
|
2761 |
+
{
|
2762 |
+
"epoch": 6.62,
|
2763 |
+
"learning_rate": 0.00036767317939609233,
|
2764 |
+
"loss": 0.3934,
|
2765 |
+
"step": 4060
|
2766 |
+
},
|
2767 |
+
{
|
2768 |
+
"epoch": 6.64,
|
2769 |
+
"learning_rate": 0.0003658969804618117,
|
2770 |
+
"loss": 0.4581,
|
2771 |
+
"step": 4070
|
2772 |
+
},
|
2773 |
+
{
|
2774 |
+
"epoch": 6.66,
|
2775 |
+
"learning_rate": 0.00036412078152753106,
|
2776 |
+
"loss": 0.3908,
|
2777 |
+
"step": 4080
|
2778 |
+
},
|
2779 |
+
{
|
2780 |
+
"epoch": 6.67,
|
2781 |
+
"learning_rate": 0.0003623445825932504,
|
2782 |
+
"loss": 0.4237,
|
2783 |
+
"step": 4090
|
2784 |
+
},
|
2785 |
+
{
|
2786 |
+
"epoch": 6.69,
|
2787 |
+
"learning_rate": 0.00036056838365896985,
|
2788 |
+
"loss": 0.3975,
|
2789 |
+
"step": 4100
|
2790 |
+
},
|
2791 |
+
{
|
2792 |
+
"epoch": 6.69,
|
2793 |
+
"eval_loss": 0.4162620007991791,
|
2794 |
+
"eval_runtime": 12.9992,
|
2795 |
+
"eval_samples_per_second": 90.082,
|
2796 |
+
"eval_steps_per_second": 11.308,
|
2797 |
+
"step": 4100
|
2798 |
+
},
|
2799 |
+
{
|
2800 |
+
"epoch": 6.7,
|
2801 |
+
"learning_rate": 0.0003587921847246892,
|
2802 |
+
"loss": 0.4152,
|
2803 |
+
"step": 4110
|
2804 |
+
},
|
2805 |
+
{
|
2806 |
+
"epoch": 6.72,
|
2807 |
+
"learning_rate": 0.0003570159857904086,
|
2808 |
+
"loss": 0.4353,
|
2809 |
+
"step": 4120
|
2810 |
+
},
|
2811 |
+
{
|
2812 |
+
"epoch": 6.74,
|
2813 |
+
"learning_rate": 0.0003552397868561279,
|
2814 |
+
"loss": 0.3991,
|
2815 |
+
"step": 4130
|
2816 |
+
},
|
2817 |
+
{
|
2818 |
+
"epoch": 6.75,
|
2819 |
+
"learning_rate": 0.00035346358792184726,
|
2820 |
+
"loss": 0.4094,
|
2821 |
+
"step": 4140
|
2822 |
+
},
|
2823 |
+
{
|
2824 |
+
"epoch": 6.77,
|
2825 |
+
"learning_rate": 0.00035168738898756665,
|
2826 |
+
"loss": 0.4099,
|
2827 |
+
"step": 4150
|
2828 |
+
},
|
2829 |
+
{
|
2830 |
+
"epoch": 6.79,
|
2831 |
+
"learning_rate": 0.000349911190053286,
|
2832 |
+
"loss": 0.4107,
|
2833 |
+
"step": 4160
|
2834 |
+
},
|
2835 |
+
{
|
2836 |
+
"epoch": 6.8,
|
2837 |
+
"learning_rate": 0.00034813499111900533,
|
2838 |
+
"loss": 0.433,
|
2839 |
+
"step": 4170
|
2840 |
+
},
|
2841 |
+
{
|
2842 |
+
"epoch": 6.82,
|
2843 |
+
"learning_rate": 0.0003463587921847247,
|
2844 |
+
"loss": 0.4267,
|
2845 |
+
"step": 4180
|
2846 |
+
},
|
2847 |
+
{
|
2848 |
+
"epoch": 6.84,
|
2849 |
+
"learning_rate": 0.00034458259325044407,
|
2850 |
+
"loss": 0.4373,
|
2851 |
+
"step": 4190
|
2852 |
+
},
|
2853 |
+
{
|
2854 |
+
"epoch": 6.85,
|
2855 |
+
"learning_rate": 0.0003428063943161634,
|
2856 |
+
"loss": 0.4053,
|
2857 |
+
"step": 4200
|
2858 |
+
},
|
2859 |
+
{
|
2860 |
+
"epoch": 6.85,
|
2861 |
+
"eval_loss": 0.4194377064704895,
|
2862 |
+
"eval_runtime": 13.0635,
|
2863 |
+
"eval_samples_per_second": 89.639,
|
2864 |
+
"eval_steps_per_second": 11.253,
|
2865 |
+
"step": 4200
|
2866 |
+
},
|
2867 |
+
{
|
2868 |
+
"epoch": 6.87,
|
2869 |
+
"learning_rate": 0.0003410301953818828,
|
2870 |
+
"loss": 0.4298,
|
2871 |
+
"step": 4210
|
2872 |
+
},
|
2873 |
+
{
|
2874 |
+
"epoch": 6.88,
|
2875 |
+
"learning_rate": 0.00033925399644760214,
|
2876 |
+
"loss": 0.4074,
|
2877 |
+
"step": 4220
|
2878 |
+
},
|
2879 |
+
{
|
2880 |
+
"epoch": 6.9,
|
2881 |
+
"learning_rate": 0.0003374777975133215,
|
2882 |
+
"loss": 0.423,
|
2883 |
+
"step": 4230
|
2884 |
+
},
|
2885 |
+
{
|
2886 |
+
"epoch": 6.92,
|
2887 |
+
"learning_rate": 0.00033570159857904087,
|
2888 |
+
"loss": 0.4292,
|
2889 |
+
"step": 4240
|
2890 |
+
},
|
2891 |
+
{
|
2892 |
+
"epoch": 6.93,
|
2893 |
+
"learning_rate": 0.0003339253996447602,
|
2894 |
+
"loss": 0.4068,
|
2895 |
+
"step": 4250
|
2896 |
+
},
|
2897 |
+
{
|
2898 |
+
"epoch": 6.95,
|
2899 |
+
"learning_rate": 0.0003321492007104796,
|
2900 |
+
"loss": 0.41,
|
2901 |
+
"step": 4260
|
2902 |
+
},
|
2903 |
+
{
|
2904 |
+
"epoch": 6.97,
|
2905 |
+
"learning_rate": 0.00033037300177619894,
|
2906 |
+
"loss": 0.4429,
|
2907 |
+
"step": 4270
|
2908 |
+
},
|
2909 |
+
{
|
2910 |
+
"epoch": 6.98,
|
2911 |
+
"learning_rate": 0.0003285968028419183,
|
2912 |
+
"loss": 0.4352,
|
2913 |
+
"step": 4280
|
2914 |
+
},
|
2915 |
+
{
|
2916 |
+
"epoch": 7.0,
|
2917 |
+
"learning_rate": 0.0003268206039076377,
|
2918 |
+
"loss": 0.4314,
|
2919 |
+
"step": 4290
|
2920 |
+
},
|
2921 |
+
{
|
2922 |
+
"epoch": 7.01,
|
2923 |
+
"learning_rate": 0.000325044404973357,
|
2924 |
+
"loss": 0.3817,
|
2925 |
+
"step": 4300
|
2926 |
+
},
|
2927 |
+
{
|
2928 |
+
"epoch": 7.01,
|
2929 |
+
"eval_loss": 0.42648157477378845,
|
2930 |
+
"eval_runtime": 12.8627,
|
2931 |
+
"eval_samples_per_second": 91.039,
|
2932 |
+
"eval_steps_per_second": 11.428,
|
2933 |
+
"step": 4300
|
2934 |
+
},
|
2935 |
+
{
|
2936 |
+
"epoch": 7.03,
|
2937 |
+
"learning_rate": 0.00032326820603907635,
|
2938 |
+
"loss": 0.4002,
|
2939 |
+
"step": 4310
|
2940 |
+
},
|
2941 |
+
{
|
2942 |
+
"epoch": 7.05,
|
2943 |
+
"learning_rate": 0.00032149200710479575,
|
2944 |
+
"loss": 0.397,
|
2945 |
+
"step": 4320
|
2946 |
+
},
|
2947 |
+
{
|
2948 |
+
"epoch": 7.06,
|
2949 |
+
"learning_rate": 0.0003197158081705151,
|
2950 |
+
"loss": 0.4064,
|
2951 |
+
"step": 4330
|
2952 |
+
},
|
2953 |
+
{
|
2954 |
+
"epoch": 7.08,
|
2955 |
+
"learning_rate": 0.0003179396092362344,
|
2956 |
+
"loss": 0.4314,
|
2957 |
+
"step": 4340
|
2958 |
+
},
|
2959 |
+
{
|
2960 |
+
"epoch": 7.1,
|
2961 |
+
"learning_rate": 0.0003161634103019538,
|
2962 |
+
"loss": 0.4149,
|
2963 |
+
"step": 4350
|
2964 |
+
},
|
2965 |
+
{
|
2966 |
+
"epoch": 7.11,
|
2967 |
+
"learning_rate": 0.00031438721136767316,
|
2968 |
+
"loss": 0.3956,
|
2969 |
+
"step": 4360
|
2970 |
+
},
|
2971 |
+
{
|
2972 |
+
"epoch": 7.13,
|
2973 |
+
"learning_rate": 0.00031261101243339255,
|
2974 |
+
"loss": 0.4218,
|
2975 |
+
"step": 4370
|
2976 |
+
},
|
2977 |
+
{
|
2978 |
+
"epoch": 7.15,
|
2979 |
+
"learning_rate": 0.0003108348134991119,
|
2980 |
+
"loss": 0.3959,
|
2981 |
+
"step": 4380
|
2982 |
+
},
|
2983 |
+
{
|
2984 |
+
"epoch": 7.16,
|
2985 |
+
"learning_rate": 0.00030905861456483123,
|
2986 |
+
"loss": 0.4071,
|
2987 |
+
"step": 4390
|
2988 |
+
},
|
2989 |
+
{
|
2990 |
+
"epoch": 7.18,
|
2991 |
+
"learning_rate": 0.0003072824156305506,
|
2992 |
+
"loss": 0.3927,
|
2993 |
+
"step": 4400
|
2994 |
+
},
|
2995 |
+
{
|
2996 |
+
"epoch": 7.18,
|
2997 |
+
"eval_loss": 0.41820862889289856,
|
2998 |
+
"eval_runtime": 12.8919,
|
2999 |
+
"eval_samples_per_second": 90.832,
|
3000 |
+
"eval_steps_per_second": 11.403,
|
3001 |
+
"step": 4400
|
3002 |
+
},
|
3003 |
+
{
|
3004 |
+
"epoch": 7.19,
|
3005 |
+
"learning_rate": 0.00030550621669627,
|
3006 |
+
"loss": 0.4069,
|
3007 |
+
"step": 4410
|
3008 |
+
},
|
3009 |
+
{
|
3010 |
+
"epoch": 7.21,
|
3011 |
+
"learning_rate": 0.00030373001776198936,
|
3012 |
+
"loss": 0.403,
|
3013 |
+
"step": 4420
|
3014 |
+
},
|
3015 |
+
{
|
3016 |
+
"epoch": 7.23,
|
3017 |
+
"learning_rate": 0.00030195381882770875,
|
3018 |
+
"loss": 0.402,
|
3019 |
+
"step": 4430
|
3020 |
+
},
|
3021 |
+
{
|
3022 |
+
"epoch": 7.24,
|
3023 |
+
"learning_rate": 0.0003001776198934281,
|
3024 |
+
"loss": 0.4277,
|
3025 |
+
"step": 4440
|
3026 |
+
},
|
3027 |
+
{
|
3028 |
+
"epoch": 7.26,
|
3029 |
+
"learning_rate": 0.00029840142095914743,
|
3030 |
+
"loss": 0.4067,
|
3031 |
+
"step": 4450
|
3032 |
+
},
|
3033 |
+
{
|
3034 |
+
"epoch": 7.28,
|
3035 |
+
"learning_rate": 0.0002966252220248668,
|
3036 |
+
"loss": 0.3873,
|
3037 |
+
"step": 4460
|
3038 |
+
},
|
3039 |
+
{
|
3040 |
+
"epoch": 7.29,
|
3041 |
+
"learning_rate": 0.00029484902309058616,
|
3042 |
+
"loss": 0.3955,
|
3043 |
+
"step": 4470
|
3044 |
+
},
|
3045 |
+
{
|
3046 |
+
"epoch": 7.31,
|
3047 |
+
"learning_rate": 0.00029307282415630555,
|
3048 |
+
"loss": 0.3845,
|
3049 |
+
"step": 4480
|
3050 |
+
},
|
3051 |
+
{
|
3052 |
+
"epoch": 7.32,
|
3053 |
+
"learning_rate": 0.0002912966252220249,
|
3054 |
+
"loss": 0.4149,
|
3055 |
+
"step": 4490
|
3056 |
+
},
|
3057 |
+
{
|
3058 |
+
"epoch": 7.34,
|
3059 |
+
"learning_rate": 0.00028952042628774423,
|
3060 |
+
"loss": 0.3996,
|
3061 |
+
"step": 4500
|
3062 |
+
},
|
3063 |
+
{
|
3064 |
+
"epoch": 7.34,
|
3065 |
+
"eval_loss": 0.41941431164741516,
|
3066 |
+
"eval_runtime": 12.818,
|
3067 |
+
"eval_samples_per_second": 91.356,
|
3068 |
+
"eval_steps_per_second": 11.468,
|
3069 |
+
"step": 4500
|
3070 |
}
|
3071 |
],
|
3072 |
"logging_steps": 10,
|
3073 |
"max_steps": 6130,
|
3074 |
"num_train_epochs": 10,
|
3075 |
"save_steps": 500,
|
3076 |
+
"total_flos": 8507970531753984.0,
|
3077 |
"trial_name": null,
|
3078 |
"trial_params": null
|
3079 |
}
|