mt5-small-spanish-es / trainer_state.json
gabriel-p's picture
Upload model
b6e8a5f
raw
history blame
No virus
36.1 kB
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 2.453662604578592,
"global_step": 11400,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.02,
"eval_exact_match": 14.738231412230533,
"eval_f1": 19.992446610541194,
"step": 100
},
{
"epoch": 0.04,
"learning_rate": 0.0005,
"loss": 3.6292,
"step": 200
},
{
"epoch": 0.04,
"eval_exact_match": 21.381434227892655,
"eval_f1": 31.43956554541397,
"step": 200
},
{
"epoch": 0.05,
"eval_exact_match": 24.175098988121427,
"eval_f1": 34.101042049094296,
"step": 300
},
{
"epoch": 0.07,
"learning_rate": 0.0005,
"loss": 2.7193,
"step": 400
},
{
"epoch": 0.07,
"eval_exact_match": 24.950592885375492,
"eval_f1": 38.217244544211226,
"step": 400
},
{
"epoch": 0.11,
"learning_rate": 0.0005,
"loss": 2.4559,
"step": 600
},
{
"epoch": 0.11,
"eval_exact_match": 28.40909090909091,
"eval_f1": 44.64064089265683,
"step": 600
},
{
"epoch": 0.14,
"learning_rate": 0.0005,
"loss": 2.2801,
"step": 800
},
{
"epoch": 0.14,
"eval_exact_match": 26.630434782608695,
"eval_f1": 45.504003307885625,
"step": 800
},
{
"epoch": 0.18,
"learning_rate": 0.0005,
"loss": 2.1285,
"step": 1000
},
{
"epoch": 0.18,
"eval_exact_match": 30.8300395256917,
"eval_f1": 50.359736600917515,
"step": 1000
},
{
"epoch": 0.21,
"learning_rate": 0.0005,
"loss": 2.026,
"step": 1200
},
{
"epoch": 0.21,
"eval_exact_match": 31.175889328063242,
"eval_f1": 51.623685774579855,
"step": 1200
},
{
"epoch": 0.25,
"learning_rate": 0.0005,
"loss": 1.9281,
"step": 1400
},
{
"epoch": 0.25,
"eval_exact_match": 35.869565217391305,
"eval_f1": 56.21242269358832,
"step": 1400
},
{
"epoch": 0.28,
"learning_rate": 0.0005,
"loss": 1.8836,
"step": 1600
},
{
"epoch": 0.28,
"eval_exact_match": 35.0296442687747,
"eval_f1": 57.21764925319378,
"step": 1600
},
{
"epoch": 0.32,
"learning_rate": 0.0005,
"loss": 1.8377,
"step": 1800
},
{
"epoch": 0.32,
"eval_exact_match": 36.61067193675889,
"eval_f1": 58.4380904170952,
"step": 1800
},
{
"epoch": 0.35,
"learning_rate": 0.0005,
"loss": 1.7926,
"step": 2000
},
{
"epoch": 0.35,
"eval_exact_match": 36.85770750988142,
"eval_f1": 59.677808943848156,
"step": 2000
},
{
"epoch": 0.39,
"learning_rate": 0.0005,
"loss": 1.7356,
"step": 2200
},
{
"epoch": 0.39,
"eval_exact_match": 35.62252964426877,
"eval_f1": 59.02520911162799,
"step": 2200
},
{
"epoch": 0.42,
"learning_rate": 0.0005,
"loss": 1.7001,
"step": 2400
},
{
"epoch": 0.42,
"eval_exact_match": 36.31422924901186,
"eval_f1": 60.89754377178488,
"step": 2400
},
{
"epoch": 0.46,
"learning_rate": 0.0005,
"loss": 1.675,
"step": 2600
},
{
"epoch": 0.46,
"eval_exact_match": 36.26482213438735,
"eval_f1": 59.783069358423525,
"step": 2600
},
{
"epoch": 0.49,
"learning_rate": 0.0005,
"loss": 1.6594,
"step": 2800
},
{
"epoch": 0.49,
"eval_exact_match": 36.56126482213439,
"eval_f1": 61.449547007432926,
"step": 2800
},
{
"epoch": 0.53,
"learning_rate": 0.0005,
"loss": 1.6435,
"step": 3000
},
{
"epoch": 0.53,
"eval_exact_match": 39.92094861660079,
"eval_f1": 63.03510761568375,
"step": 3000
},
{
"epoch": 0.56,
"learning_rate": 0.0005,
"loss": 1.6116,
"step": 3200
},
{
"epoch": 0.56,
"eval_exact_match": 37.30237154150198,
"eval_f1": 62.953985227470696,
"step": 3200
},
{
"epoch": 0.6,
"learning_rate": 0.0005,
"loss": 1.5701,
"step": 3400
},
{
"epoch": 0.6,
"eval_exact_match": 36.6600790513834,
"eval_f1": 61.820603199741704,
"step": 3400
},
{
"epoch": 0.63,
"learning_rate": 0.0005,
"loss": 1.5627,
"step": 3600
},
{
"epoch": 0.63,
"eval_exact_match": 38.04347826086956,
"eval_f1": 63.56696764038496,
"step": 3600
},
{
"epoch": 0.67,
"learning_rate": 0.0005,
"loss": 1.5525,
"step": 3800
},
{
"epoch": 0.67,
"eval_exact_match": 39.03162055335969,
"eval_f1": 64.72028168259759,
"step": 3800
},
{
"epoch": 0.83,
"learning_rate": 0.0005,
"loss": 1.4518,
"step": 3850
},
{
"epoch": 0.84,
"learning_rate": 0.0005,
"loss": 1.4245,
"step": 3900
},
{
"epoch": 0.85,
"learning_rate": 0.0005,
"loss": 1.4164,
"step": 3950
},
{
"epoch": 0.86,
"learning_rate": 0.0005,
"loss": 1.4627,
"step": 4000
},
{
"epoch": 0.86,
"eval_exact_match": 42.5,
"eval_f1": 67.3159921257088,
"step": 4000
},
{
"epoch": 0.87,
"learning_rate": 0.0005,
"loss": 1.4369,
"step": 4050
},
{
"epoch": 0.88,
"learning_rate": 0.0005,
"loss": 1.4205,
"step": 4100
},
{
"epoch": 0.89,
"learning_rate": 0.0005,
"loss": 1.4189,
"step": 4150
},
{
"epoch": 0.9,
"learning_rate": 0.0005,
"loss": 1.4127,
"step": 4200
},
{
"epoch": 0.9,
"eval_exact_match": 44.95,
"eval_f1": 68.47203537029696,
"step": 4200
},
{
"epoch": 0.91,
"learning_rate": 0.0005,
"loss": 1.4329,
"step": 4250
},
{
"epoch": 0.93,
"learning_rate": 0.0005,
"loss": 1.4233,
"step": 4300
},
{
"epoch": 0.94,
"learning_rate": 0.0005,
"loss": 1.4426,
"step": 4350
},
{
"epoch": 0.95,
"learning_rate": 0.0005,
"loss": 1.3969,
"step": 4400
},
{
"epoch": 0.95,
"eval_exact_match": 46.9,
"eval_f1": 69.7906665651929,
"step": 4400
},
{
"epoch": 0.96,
"learning_rate": 0.0005,
"loss": 1.4589,
"step": 4450
},
{
"epoch": 0.97,
"learning_rate": 0.0005,
"loss": 1.4199,
"step": 4500
},
{
"epoch": 0.98,
"learning_rate": 0.0005,
"loss": 1.3795,
"step": 4550
},
{
"epoch": 0.99,
"learning_rate": 0.0005,
"loss": 1.3794,
"step": 4600
},
{
"epoch": 0.99,
"eval_exact_match": 50.95,
"eval_f1": 71.26934663680022,
"step": 4600
},
{
"epoch": 1.0,
"learning_rate": 0.0005,
"loss": 1.3577,
"step": 4650
},
{
"epoch": 1.01,
"learning_rate": 0.0005,
"loss": 1.3633,
"step": 4700
},
{
"epoch": 1.02,
"learning_rate": 0.0005,
"loss": 1.3672,
"step": 4750
},
{
"epoch": 1.03,
"learning_rate": 0.0005,
"loss": 1.3568,
"step": 4800
},
{
"epoch": 1.03,
"eval_exact_match": 49.5,
"eval_f1": 71.44716194869687,
"step": 4800
},
{
"epoch": 1.04,
"learning_rate": 0.0005,
"loss": 1.334,
"step": 4850
},
{
"epoch": 1.05,
"learning_rate": 0.0005,
"loss": 1.3173,
"step": 4900
},
{
"epoch": 1.07,
"learning_rate": 0.0005,
"loss": 1.3332,
"step": 4950
},
{
"epoch": 1.08,
"learning_rate": 0.0005,
"loss": 1.3858,
"step": 5000
},
{
"epoch": 1.08,
"eval_exact_match": 50.6,
"eval_f1": 71.4031953884389,
"step": 5000
},
{
"epoch": 1.09,
"learning_rate": 0.0005,
"loss": 1.3724,
"step": 5050
},
{
"epoch": 1.1,
"learning_rate": 0.0005,
"loss": 1.3356,
"step": 5100
},
{
"epoch": 1.11,
"learning_rate": 0.0005,
"loss": 1.4173,
"step": 5150
},
{
"epoch": 1.12,
"learning_rate": 0.0005,
"loss": 1.3499,
"step": 5200
},
{
"epoch": 1.12,
"eval_exact_match": 50.45,
"eval_f1": 70.96365965036652,
"step": 5200
},
{
"epoch": 1.13,
"learning_rate": 0.0005,
"loss": 1.3853,
"step": 5250
},
{
"epoch": 1.14,
"learning_rate": 0.0005,
"loss": 1.337,
"step": 5300
},
{
"epoch": 1.15,
"learning_rate": 0.0005,
"loss": 1.3366,
"step": 5350
},
{
"epoch": 1.16,
"learning_rate": 0.0005,
"loss": 1.342,
"step": 5400
},
{
"epoch": 1.16,
"eval_exact_match": 51.25,
"eval_f1": 72.29202655492661,
"step": 5400
},
{
"epoch": 1.17,
"learning_rate": 0.0005,
"loss": 1.3289,
"step": 5450
},
{
"epoch": 1.18,
"learning_rate": 0.0005,
"loss": 1.3894,
"step": 5500
},
{
"epoch": 1.19,
"learning_rate": 0.0005,
"loss": 1.3393,
"step": 5550
},
{
"epoch": 1.21,
"learning_rate": 0.0005,
"loss": 1.2983,
"step": 5600
},
{
"epoch": 1.21,
"eval_exact_match": 52.15,
"eval_f1": 72.57033769389315,
"step": 5600
},
{
"epoch": 1.22,
"learning_rate": 0.0005,
"loss": 1.3181,
"step": 5650
},
{
"epoch": 1.23,
"learning_rate": 0.0005,
"loss": 1.3672,
"step": 5700
},
{
"epoch": 1.24,
"learning_rate": 0.0005,
"loss": 1.3064,
"step": 5750
},
{
"epoch": 1.25,
"learning_rate": 0.0005,
"loss": 1.3316,
"step": 5800
},
{
"epoch": 1.25,
"eval_exact_match": 52.6,
"eval_f1": 72.91182293082619,
"step": 5800
},
{
"epoch": 1.26,
"learning_rate": 0.0005,
"loss": 1.3099,
"step": 5850
},
{
"epoch": 1.27,
"learning_rate": 0.0005,
"loss": 1.293,
"step": 5900
},
{
"epoch": 1.28,
"learning_rate": 0.0005,
"loss": 1.3386,
"step": 5950
},
{
"epoch": 1.29,
"learning_rate": 0.0005,
"loss": 1.3475,
"step": 6000
},
{
"epoch": 1.29,
"eval_exact_match": 50.7,
"eval_f1": 72.13671184582012,
"step": 6000
},
{
"epoch": 1.3,
"learning_rate": 0.0005,
"loss": 1.2548,
"step": 6050
},
{
"epoch": 1.31,
"learning_rate": 0.0005,
"loss": 1.3243,
"step": 6100
},
{
"epoch": 1.32,
"learning_rate": 0.0005,
"loss": 1.322,
"step": 6150
},
{
"epoch": 1.33,
"learning_rate": 0.0005,
"loss": 1.3049,
"step": 6200
},
{
"epoch": 1.33,
"eval_exact_match": 51.25,
"eval_f1": 72.62424474108035,
"step": 6200
},
{
"epoch": 1.35,
"learning_rate": 0.0005,
"loss": 1.274,
"step": 6250
},
{
"epoch": 1.36,
"learning_rate": 0.0005,
"loss": 1.3015,
"step": 6300
},
{
"epoch": 1.37,
"learning_rate": 0.0005,
"loss": 1.303,
"step": 6350
},
{
"epoch": 1.38,
"learning_rate": 0.0005,
"loss": 1.2727,
"step": 6400
},
{
"epoch": 1.38,
"eval_exact_match": 52.35,
"eval_f1": 73.1319111267331,
"step": 6400
},
{
"epoch": 1.39,
"learning_rate": 0.0005,
"loss": 1.2866,
"step": 6450
},
{
"epoch": 1.4,
"learning_rate": 0.0005,
"loss": 1.3302,
"step": 6500
},
{
"epoch": 1.41,
"learning_rate": 0.0005,
"loss": 1.2281,
"step": 6550
},
{
"epoch": 1.42,
"learning_rate": 0.0005,
"loss": 1.3037,
"step": 6600
},
{
"epoch": 1.42,
"eval_exact_match": 53.2,
"eval_f1": 73.01971722088678,
"step": 6600
},
{
"epoch": 1.43,
"learning_rate": 0.0005,
"loss": 1.2822,
"step": 6650
},
{
"epoch": 1.44,
"learning_rate": 0.0005,
"loss": 1.2871,
"step": 6700
},
{
"epoch": 1.45,
"learning_rate": 0.0005,
"loss": 1.3176,
"step": 6750
},
{
"epoch": 1.46,
"learning_rate": 0.0005,
"loss": 1.2828,
"step": 6800
},
{
"epoch": 1.46,
"eval_exact_match": 52.85,
"eval_f1": 73.01360270382577,
"step": 6800
},
{
"epoch": 1.47,
"learning_rate": 0.0005,
"loss": 1.3448,
"step": 6850
},
{
"epoch": 1.49,
"learning_rate": 0.0005,
"loss": 1.3102,
"step": 6900
},
{
"epoch": 1.5,
"learning_rate": 0.0005,
"loss": 1.3273,
"step": 6950
},
{
"epoch": 1.51,
"learning_rate": 0.0005,
"loss": 1.3016,
"step": 7000
},
{
"epoch": 1.51,
"eval_exact_match": 54.0,
"eval_f1": 73.98223052649728,
"step": 7000
},
{
"epoch": 1.52,
"learning_rate": 0.0005,
"loss": 1.2767,
"step": 7050
},
{
"epoch": 1.53,
"learning_rate": 0.0005,
"loss": 1.262,
"step": 7100
},
{
"epoch": 1.54,
"learning_rate": 0.0005,
"loss": 1.2846,
"step": 7150
},
{
"epoch": 1.55,
"learning_rate": 0.0005,
"loss": 1.2642,
"step": 7200
},
{
"epoch": 1.55,
"eval_exact_match": 52.45,
"eval_f1": 73.66687625952305,
"step": 7200
},
{
"epoch": 1.56,
"learning_rate": 0.0005,
"loss": 1.2875,
"step": 7250
},
{
"epoch": 1.57,
"learning_rate": 0.0005,
"loss": 1.247,
"step": 7300
},
{
"epoch": 1.58,
"learning_rate": 0.0005,
"loss": 1.2501,
"step": 7350
},
{
"epoch": 1.59,
"learning_rate": 0.0005,
"loss": 1.293,
"step": 7400
},
{
"epoch": 1.59,
"eval_exact_match": 52.3,
"eval_f1": 73.46398897242841,
"step": 7400
},
{
"epoch": 1.6,
"learning_rate": 0.0005,
"loss": 1.2373,
"step": 7450
},
{
"epoch": 1.61,
"learning_rate": 0.0005,
"loss": 1.2477,
"step": 7500
},
{
"epoch": 1.62,
"learning_rate": 0.0005,
"loss": 1.2647,
"step": 7550
},
{
"epoch": 1.64,
"learning_rate": 0.0005,
"loss": 1.2947,
"step": 7600
},
{
"epoch": 1.64,
"eval_exact_match": 53.05,
"eval_f1": 73.40471749318357,
"step": 7600
},
{
"epoch": 1.65,
"learning_rate": 0.0005,
"loss": 1.2237,
"step": 7650
},
{
"epoch": 1.66,
"learning_rate": 0.0005,
"loss": 1.2996,
"step": 7700
},
{
"epoch": 1.67,
"learning_rate": 0.0005,
"loss": 1.2833,
"step": 7750
},
{
"epoch": 1.68,
"learning_rate": 0.0005,
"loss": 1.2663,
"step": 7800
},
{
"epoch": 1.68,
"eval_exact_match": 53.95,
"eval_f1": 74.59089034170034,
"step": 7800
},
{
"epoch": 1.69,
"learning_rate": 0.0005,
"loss": 1.2519,
"step": 7850
},
{
"epoch": 1.7,
"learning_rate": 0.0005,
"loss": 1.2365,
"step": 7900
},
{
"epoch": 1.71,
"learning_rate": 0.0005,
"loss": 1.2152,
"step": 7950
},
{
"epoch": 1.72,
"learning_rate": 0.0005,
"loss": 1.2309,
"step": 8000
},
{
"epoch": 1.72,
"eval_exact_match": 53.35,
"eval_f1": 74.02883287579421,
"step": 8000
},
{
"epoch": 1.73,
"learning_rate": 0.0005,
"loss": 1.2532,
"step": 8050
},
{
"epoch": 1.74,
"learning_rate": 0.0005,
"loss": 1.2607,
"step": 8100
},
{
"epoch": 1.75,
"learning_rate": 0.0005,
"loss": 1.1885,
"step": 8150
},
{
"epoch": 1.76,
"learning_rate": 0.0005,
"loss": 1.2169,
"step": 8200
},
{
"epoch": 1.76,
"eval_exact_match": 54.35,
"eval_f1": 74.273655582778,
"step": 8200
},
{
"epoch": 1.78,
"learning_rate": 0.0005,
"loss": 1.2543,
"step": 8250
},
{
"epoch": 1.79,
"learning_rate": 0.0005,
"loss": 1.2352,
"step": 8300
},
{
"epoch": 1.8,
"learning_rate": 0.0005,
"loss": 1.2142,
"step": 8350
},
{
"epoch": 1.81,
"learning_rate": 0.0005,
"loss": 1.223,
"step": 8400
},
{
"epoch": 1.81,
"eval_exact_match": 52.7,
"eval_f1": 73.99393883664169,
"step": 8400
},
{
"epoch": 1.82,
"learning_rate": 0.0005,
"loss": 1.2145,
"step": 8450
},
{
"epoch": 1.83,
"learning_rate": 0.0005,
"loss": 1.1973,
"step": 8500
},
{
"epoch": 1.84,
"learning_rate": 0.0005,
"loss": 1.2277,
"step": 8550
},
{
"epoch": 1.85,
"learning_rate": 0.0005,
"loss": 1.2552,
"step": 8600
},
{
"epoch": 1.85,
"eval_exact_match": 53.8,
"eval_f1": 74.61861738151018,
"step": 8600
},
{
"epoch": 1.86,
"learning_rate": 0.0005,
"loss": 1.228,
"step": 8650
},
{
"epoch": 1.87,
"learning_rate": 0.0005,
"loss": 1.2117,
"step": 8700
},
{
"epoch": 1.88,
"learning_rate": 0.0005,
"loss": 1.2429,
"step": 8750
},
{
"epoch": 1.89,
"learning_rate": 0.0005,
"loss": 1.2279,
"step": 8800
},
{
"epoch": 1.89,
"eval_exact_match": 54.4,
"eval_f1": 74.93345914261613,
"step": 8800
},
{
"epoch": 1.9,
"learning_rate": 0.0005,
"loss": 1.2134,
"step": 8850
},
{
"epoch": 1.92,
"learning_rate": 0.0005,
"loss": 1.245,
"step": 8900
},
{
"epoch": 1.93,
"learning_rate": 0.0005,
"loss": 1.2179,
"step": 8950
},
{
"epoch": 1.94,
"learning_rate": 0.0005,
"loss": 1.2006,
"step": 9000
},
{
"epoch": 1.94,
"eval_exact_match": 55.4,
"eval_f1": 75.75427604493635,
"step": 9000
},
{
"epoch": 1.95,
"learning_rate": 0.0005,
"loss": 1.2037,
"step": 9050
},
{
"epoch": 1.96,
"learning_rate": 0.0005,
"loss": 1.1985,
"step": 9100
},
{
"epoch": 1.97,
"learning_rate": 0.0005,
"loss": 1.2012,
"step": 9150
},
{
"epoch": 1.98,
"learning_rate": 0.0005,
"loss": 1.2194,
"step": 9200
},
{
"epoch": 1.98,
"eval_exact_match": 54.0,
"eval_f1": 74.89545612203896,
"step": 9200
},
{
"epoch": 1.99,
"learning_rate": 0.0005,
"loss": 1.2173,
"step": 9250
},
{
"epoch": 2.0,
"learning_rate": 0.0005,
"loss": 1.2616,
"step": 9300
},
{
"epoch": 2.01,
"learning_rate": 0.0005,
"loss": 1.1785,
"step": 9350
},
{
"epoch": 2.02,
"learning_rate": 0.0005,
"loss": 1.1664,
"step": 9400
},
{
"epoch": 2.02,
"eval_exact_match": 55.2,
"eval_f1": 75.50544659346157,
"step": 9400
},
{
"epoch": 2.03,
"learning_rate": 0.0005,
"loss": 1.1271,
"step": 9450
},
{
"epoch": 2.04,
"learning_rate": 0.0005,
"loss": 1.1806,
"step": 9500
},
{
"epoch": 2.06,
"learning_rate": 0.0005,
"loss": 1.1865,
"step": 9550
},
{
"epoch": 2.07,
"learning_rate": 0.0005,
"loss": 1.198,
"step": 9600
},
{
"epoch": 2.07,
"eval_exact_match": 54.65,
"eval_f1": 75.02151439633785,
"step": 9600
},
{
"epoch": 2.08,
"learning_rate": 0.0005,
"loss": 1.1726,
"step": 9650
},
{
"epoch": 2.09,
"learning_rate": 0.0005,
"loss": 1.1799,
"step": 9700
},
{
"epoch": 2.1,
"learning_rate": 0.0005,
"loss": 1.1107,
"step": 9750
},
{
"epoch": 2.11,
"learning_rate": 0.0005,
"loss": 1.1585,
"step": 9800
},
{
"epoch": 2.11,
"eval_exact_match": 53.9,
"eval_f1": 74.15646190187827,
"step": 9800
},
{
"epoch": 2.12,
"learning_rate": 0.0005,
"loss": 1.1436,
"step": 9850
},
{
"epoch": 2.13,
"learning_rate": 0.0005,
"loss": 1.1806,
"step": 9900
},
{
"epoch": 2.14,
"learning_rate": 0.0005,
"loss": 1.1444,
"step": 9950
},
{
"epoch": 2.15,
"learning_rate": 0.0005,
"loss": 1.1738,
"step": 10000
},
{
"epoch": 2.15,
"eval_exact_match": 54.85,
"eval_f1": 75.11255802008874,
"step": 10000
},
{
"epoch": 2.16,
"learning_rate": 0.0005,
"loss": 1.1095,
"step": 10050
},
{
"epoch": 2.17,
"learning_rate": 0.0005,
"loss": 1.1511,
"step": 10100
},
{
"epoch": 2.18,
"learning_rate": 0.0005,
"loss": 1.1297,
"step": 10150
},
{
"epoch": 2.2,
"learning_rate": 0.0005,
"loss": 1.1505,
"step": 10200
},
{
"epoch": 2.2,
"eval_exact_match": 54.85,
"eval_f1": 75.52882358671673,
"step": 10200
},
{
"epoch": 2.2,
"learning_rate": 5e-05,
"loss": 1.1081,
"step": 10210
},
{
"epoch": 2.2,
"learning_rate": 5e-05,
"loss": 1.1572,
"step": 10220
},
{
"epoch": 2.2,
"learning_rate": 5e-05,
"loss": 1.0839,
"step": 10230
},
{
"epoch": 2.2,
"learning_rate": 5e-05,
"loss": 1.0971,
"step": 10240
},
{
"epoch": 2.21,
"learning_rate": 5e-05,
"loss": 1.0737,
"step": 10250
},
{
"epoch": 2.21,
"learning_rate": 5e-05,
"loss": 1.1049,
"step": 10260
},
{
"epoch": 2.21,
"learning_rate": 5e-05,
"loss": 1.202,
"step": 10270
},
{
"epoch": 2.21,
"learning_rate": 5e-05,
"loss": 1.1848,
"step": 10280
},
{
"epoch": 2.21,
"learning_rate": 5e-05,
"loss": 1.1095,
"step": 10290
},
{
"epoch": 2.22,
"learning_rate": 5e-05,
"loss": 1.2268,
"step": 10300
},
{
"epoch": 2.22,
"learning_rate": 5e-05,
"loss": 1.1422,
"step": 10310
},
{
"epoch": 2.22,
"learning_rate": 5e-05,
"loss": 1.1222,
"step": 10320
},
{
"epoch": 2.22,
"learning_rate": 5e-05,
"loss": 1.1251,
"step": 10330
},
{
"epoch": 2.23,
"learning_rate": 5e-05,
"loss": 1.0694,
"step": 10340
},
{
"epoch": 2.23,
"learning_rate": 5e-05,
"loss": 1.1571,
"step": 10350
},
{
"epoch": 2.23,
"learning_rate": 5e-05,
"loss": 1.1546,
"step": 10360
},
{
"epoch": 2.23,
"learning_rate": 5e-05,
"loss": 1.2171,
"step": 10370
},
{
"epoch": 2.23,
"learning_rate": 5e-05,
"loss": 1.1283,
"step": 10380
},
{
"epoch": 2.24,
"learning_rate": 5e-05,
"loss": 1.1215,
"step": 10390
},
{
"epoch": 2.24,
"learning_rate": 5e-05,
"loss": 1.127,
"step": 10400
},
{
"epoch": 2.24,
"eval_exact_match": 55.35,
"eval_f1": 75.70498337751204,
"step": 10400
},
{
"epoch": 2.24,
"learning_rate": 5e-05,
"loss": 1.0492,
"step": 10410
},
{
"epoch": 2.24,
"learning_rate": 5e-05,
"loss": 1.1658,
"step": 10420
},
{
"epoch": 2.24,
"learning_rate": 5e-05,
"loss": 1.1677,
"step": 10430
},
{
"epoch": 2.25,
"learning_rate": 5e-05,
"loss": 1.1758,
"step": 10440
},
{
"epoch": 2.25,
"learning_rate": 5e-05,
"loss": 1.1968,
"step": 10450
},
{
"epoch": 2.25,
"learning_rate": 5e-05,
"loss": 1.1315,
"step": 10460
},
{
"epoch": 2.25,
"learning_rate": 5e-05,
"loss": 1.1138,
"step": 10470
},
{
"epoch": 2.26,
"learning_rate": 5e-05,
"loss": 1.1375,
"step": 10480
},
{
"epoch": 2.26,
"learning_rate": 5e-05,
"loss": 1.1892,
"step": 10490
},
{
"epoch": 2.26,
"learning_rate": 5e-05,
"loss": 1.131,
"step": 10500
},
{
"epoch": 2.26,
"learning_rate": 5e-05,
"loss": 1.1195,
"step": 10510
},
{
"epoch": 2.26,
"learning_rate": 5e-05,
"loss": 1.1044,
"step": 10520
},
{
"epoch": 2.27,
"learning_rate": 5e-05,
"loss": 1.1371,
"step": 10530
},
{
"epoch": 2.27,
"learning_rate": 5e-05,
"loss": 1.1382,
"step": 10540
},
{
"epoch": 2.27,
"learning_rate": 5e-05,
"loss": 1.1273,
"step": 10550
},
{
"epoch": 2.27,
"learning_rate": 5e-05,
"loss": 1.1566,
"step": 10560
},
{
"epoch": 2.28,
"learning_rate": 5e-05,
"loss": 1.209,
"step": 10570
},
{
"epoch": 2.28,
"learning_rate": 5e-05,
"loss": 1.1336,
"step": 10580
},
{
"epoch": 2.28,
"learning_rate": 5e-05,
"loss": 1.0522,
"step": 10590
},
{
"epoch": 2.28,
"learning_rate": 5e-05,
"loss": 1.2019,
"step": 10600
},
{
"epoch": 2.28,
"eval_exact_match": 55.55,
"eval_f1": 76.02151178378499,
"step": 10600
},
{
"epoch": 2.28,
"learning_rate": 5e-05,
"loss": 1.1227,
"step": 10610
},
{
"epoch": 2.29,
"learning_rate": 5e-05,
"loss": 1.2202,
"step": 10620
},
{
"epoch": 2.29,
"learning_rate": 5e-05,
"loss": 1.0762,
"step": 10630
},
{
"epoch": 2.29,
"learning_rate": 5e-05,
"loss": 1.2074,
"step": 10640
},
{
"epoch": 2.29,
"learning_rate": 5e-05,
"loss": 1.1283,
"step": 10650
},
{
"epoch": 2.29,
"learning_rate": 5e-05,
"loss": 1.1631,
"step": 10660
},
{
"epoch": 2.3,
"learning_rate": 5e-05,
"loss": 1.0954,
"step": 10670
},
{
"epoch": 2.3,
"learning_rate": 5e-05,
"loss": 1.2253,
"step": 10680
},
{
"epoch": 2.3,
"learning_rate": 5e-05,
"loss": 1.1141,
"step": 10690
},
{
"epoch": 2.3,
"learning_rate": 5e-05,
"loss": 1.2454,
"step": 10700
},
{
"epoch": 2.31,
"learning_rate": 5e-05,
"loss": 1.0997,
"step": 10710
},
{
"epoch": 2.31,
"learning_rate": 5e-05,
"loss": 1.1408,
"step": 10720
},
{
"epoch": 2.31,
"learning_rate": 5e-05,
"loss": 1.098,
"step": 10730
},
{
"epoch": 2.31,
"learning_rate": 5e-05,
"loss": 1.2331,
"step": 10740
},
{
"epoch": 2.31,
"learning_rate": 5e-05,
"loss": 1.1006,
"step": 10750
},
{
"epoch": 2.32,
"learning_rate": 5e-05,
"loss": 1.1057,
"step": 10760
},
{
"epoch": 2.32,
"learning_rate": 5e-05,
"loss": 1.2075,
"step": 10770
},
{
"epoch": 2.32,
"learning_rate": 5e-05,
"loss": 1.0302,
"step": 10780
},
{
"epoch": 2.32,
"learning_rate": 5e-05,
"loss": 1.1484,
"step": 10790
},
{
"epoch": 2.32,
"learning_rate": 5e-05,
"loss": 1.1272,
"step": 10800
},
{
"epoch": 2.32,
"eval_exact_match": 55.6,
"eval_f1": 75.90896740958824,
"step": 10800
},
{
"epoch": 2.33,
"learning_rate": 5e-05,
"loss": 1.1306,
"step": 10810
},
{
"epoch": 2.33,
"learning_rate": 5e-05,
"loss": 1.1356,
"step": 10820
},
{
"epoch": 2.33,
"learning_rate": 5e-05,
"loss": 1.1776,
"step": 10830
},
{
"epoch": 2.33,
"learning_rate": 5e-05,
"loss": 1.1216,
"step": 10840
},
{
"epoch": 2.34,
"learning_rate": 5e-05,
"loss": 1.1211,
"step": 10850
},
{
"epoch": 2.34,
"learning_rate": 5e-05,
"loss": 1.2693,
"step": 10860
},
{
"epoch": 2.34,
"learning_rate": 5e-05,
"loss": 1.1473,
"step": 10870
},
{
"epoch": 2.34,
"learning_rate": 5e-05,
"loss": 1.0641,
"step": 10880
},
{
"epoch": 2.34,
"learning_rate": 5e-05,
"loss": 1.2424,
"step": 10890
},
{
"epoch": 2.35,
"learning_rate": 5e-05,
"loss": 1.1371,
"step": 10900
},
{
"epoch": 2.35,
"learning_rate": 5e-05,
"loss": 1.1217,
"step": 10910
},
{
"epoch": 2.35,
"learning_rate": 5e-05,
"loss": 1.2007,
"step": 10920
},
{
"epoch": 2.35,
"learning_rate": 5e-05,
"loss": 1.1501,
"step": 10930
},
{
"epoch": 2.35,
"learning_rate": 5e-05,
"loss": 1.1135,
"step": 10940
},
{
"epoch": 2.36,
"learning_rate": 5e-05,
"loss": 1.137,
"step": 10950
},
{
"epoch": 2.36,
"learning_rate": 5e-05,
"loss": 1.1422,
"step": 10960
},
{
"epoch": 2.36,
"learning_rate": 5e-05,
"loss": 1.1248,
"step": 10970
},
{
"epoch": 2.36,
"learning_rate": 5e-05,
"loss": 1.1899,
"step": 10980
},
{
"epoch": 2.37,
"learning_rate": 5e-05,
"loss": 1.102,
"step": 10990
},
{
"epoch": 2.37,
"learning_rate": 5e-05,
"loss": 1.1877,
"step": 11000
},
{
"epoch": 2.37,
"eval_exact_match": 55.95,
"eval_f1": 76.45373153349801,
"step": 11000
},
{
"epoch": 2.37,
"learning_rate": 5e-05,
"loss": 1.1474,
"step": 11010
},
{
"epoch": 2.37,
"learning_rate": 5e-05,
"loss": 1.1536,
"step": 11020
},
{
"epoch": 2.37,
"learning_rate": 5e-05,
"loss": 1.2218,
"step": 11030
},
{
"epoch": 2.38,
"learning_rate": 5e-05,
"loss": 1.0967,
"step": 11040
},
{
"epoch": 2.38,
"learning_rate": 5e-05,
"loss": 1.1305,
"step": 11050
},
{
"epoch": 2.38,
"learning_rate": 5e-05,
"loss": 1.087,
"step": 11060
},
{
"epoch": 2.38,
"learning_rate": 5e-05,
"loss": 1.0908,
"step": 11070
},
{
"epoch": 2.38,
"learning_rate": 5e-05,
"loss": 1.0134,
"step": 11080
},
{
"epoch": 2.39,
"learning_rate": 5e-05,
"loss": 1.0997,
"step": 11090
},
{
"epoch": 2.39,
"learning_rate": 5e-05,
"loss": 1.066,
"step": 11100
},
{
"epoch": 2.39,
"learning_rate": 5e-05,
"loss": 1.2601,
"step": 11110
},
{
"epoch": 2.39,
"learning_rate": 5e-05,
"loss": 1.1191,
"step": 11120
},
{
"epoch": 2.4,
"learning_rate": 5e-05,
"loss": 1.1025,
"step": 11130
},
{
"epoch": 2.4,
"learning_rate": 5e-05,
"loss": 1.112,
"step": 11140
},
{
"epoch": 2.4,
"learning_rate": 5e-05,
"loss": 1.0794,
"step": 11150
},
{
"epoch": 2.4,
"learning_rate": 5e-05,
"loss": 1.112,
"step": 11160
},
{
"epoch": 2.4,
"learning_rate": 5e-05,
"loss": 1.1411,
"step": 11170
},
{
"epoch": 2.41,
"learning_rate": 5e-05,
"loss": 1.1118,
"step": 11180
},
{
"epoch": 2.41,
"learning_rate": 5e-05,
"loss": 1.1464,
"step": 11190
},
{
"epoch": 2.41,
"learning_rate": 5e-05,
"loss": 1.1496,
"step": 11200
},
{
"epoch": 2.41,
"eval_exact_match": 56.15,
"eval_f1": 76.4356306603872,
"step": 11200
},
{
"epoch": 2.41,
"learning_rate": 5e-05,
"loss": 1.1588,
"step": 11210
},
{
"epoch": 2.41,
"learning_rate": 5e-05,
"loss": 1.1369,
"step": 11220
},
{
"epoch": 2.42,
"learning_rate": 5e-05,
"loss": 1.1026,
"step": 11230
},
{
"epoch": 2.42,
"learning_rate": 5e-05,
"loss": 1.1764,
"step": 11240
},
{
"epoch": 2.42,
"learning_rate": 5e-05,
"loss": 1.1449,
"step": 11250
},
{
"epoch": 2.42,
"learning_rate": 5e-05,
"loss": 1.1712,
"step": 11260
},
{
"epoch": 2.43,
"learning_rate": 5e-05,
"loss": 1.0465,
"step": 11270
},
{
"epoch": 2.43,
"learning_rate": 5e-05,
"loss": 1.1362,
"step": 11280
},
{
"epoch": 2.43,
"learning_rate": 5e-05,
"loss": 1.1022,
"step": 11290
},
{
"epoch": 2.43,
"learning_rate": 5e-05,
"loss": 1.1401,
"step": 11300
},
{
"epoch": 2.43,
"learning_rate": 5e-05,
"loss": 1.0913,
"step": 11310
},
{
"epoch": 2.44,
"learning_rate": 5e-05,
"loss": 1.1922,
"step": 11320
},
{
"epoch": 2.44,
"learning_rate": 5e-05,
"loss": 1.101,
"step": 11330
},
{
"epoch": 2.44,
"learning_rate": 5e-05,
"loss": 1.0261,
"step": 11340
},
{
"epoch": 2.44,
"learning_rate": 5e-05,
"loss": 1.1109,
"step": 11350
},
{
"epoch": 2.45,
"learning_rate": 5e-05,
"loss": 1.0958,
"step": 11360
},
{
"epoch": 2.45,
"learning_rate": 5e-05,
"loss": 1.027,
"step": 11370
},
{
"epoch": 2.45,
"learning_rate": 5e-05,
"loss": 1.117,
"step": 11380
},
{
"epoch": 2.45,
"learning_rate": 5e-05,
"loss": 1.1295,
"step": 11390
},
{
"epoch": 2.45,
"learning_rate": 5e-05,
"loss": 1.1344,
"step": 11400
},
{
"epoch": 2.45,
"eval_exact_match": 56.45,
"eval_f1": 76.81870981288014,
"step": 11400
}
],
"max_steps": 92920,
"num_train_epochs": 20,
"total_flos": 3.858021871727411e+17,
"trial_name": null,
"trial_params": null
}