Hierarchical_Agent_Action / trainer_state.json
Raihan004's picture
🍻 cheers
6f44a33
{
"best_metric": 0.5942012071609497,
"best_model_checkpoint": "Hierarchical_Agent_Action/checkpoint-3100",
"epoch": 30.0,
"eval_steps": 100,
"global_step": 3720,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.16,
"learning_rate": 9.946236559139786e-05,
"loss": 3.4378,
"step": 20
},
{
"epoch": 0.32,
"learning_rate": 9.892473118279571e-05,
"loss": 3.1863,
"step": 40
},
{
"epoch": 0.48,
"learning_rate": 9.838709677419355e-05,
"loss": 2.9075,
"step": 60
},
{
"epoch": 0.65,
"learning_rate": 9.78494623655914e-05,
"loss": 2.6661,
"step": 80
},
{
"epoch": 0.81,
"learning_rate": 9.731182795698925e-05,
"loss": 2.4407,
"step": 100
},
{
"epoch": 0.81,
"eval_accuracy": 0.6057553956834533,
"eval_loss": 2.271561622619629,
"eval_runtime": 12.2022,
"eval_samples_per_second": 56.957,
"eval_steps_per_second": 7.13,
"step": 100
},
{
"epoch": 0.97,
"learning_rate": 9.677419354838711e-05,
"loss": 2.2877,
"step": 120
},
{
"epoch": 1.13,
"learning_rate": 9.626344086021506e-05,
"loss": 2.0861,
"step": 140
},
{
"epoch": 1.29,
"learning_rate": 9.572580645161291e-05,
"loss": 2.0179,
"step": 160
},
{
"epoch": 1.45,
"learning_rate": 9.518817204301076e-05,
"loss": 1.8839,
"step": 180
},
{
"epoch": 1.61,
"learning_rate": 9.465053763440861e-05,
"loss": 1.7756,
"step": 200
},
{
"epoch": 1.61,
"eval_accuracy": 0.7064748201438849,
"eval_loss": 1.6162313222885132,
"eval_runtime": 13.1922,
"eval_samples_per_second": 52.683,
"eval_steps_per_second": 6.595,
"step": 200
},
{
"epoch": 1.77,
"learning_rate": 9.411290322580645e-05,
"loss": 1.7271,
"step": 220
},
{
"epoch": 1.94,
"learning_rate": 9.357526881720431e-05,
"loss": 1.5882,
"step": 240
},
{
"epoch": 2.1,
"learning_rate": 9.303763440860216e-05,
"loss": 1.4613,
"step": 260
},
{
"epoch": 2.26,
"learning_rate": 9.250000000000001e-05,
"loss": 1.4197,
"step": 280
},
{
"epoch": 2.42,
"learning_rate": 9.196236559139786e-05,
"loss": 1.3948,
"step": 300
},
{
"epoch": 2.42,
"eval_accuracy": 0.7697841726618705,
"eval_loss": 1.2199510335922241,
"eval_runtime": 12.2033,
"eval_samples_per_second": 56.952,
"eval_steps_per_second": 7.129,
"step": 300
},
{
"epoch": 2.58,
"learning_rate": 9.14247311827957e-05,
"loss": 1.3314,
"step": 320
},
{
"epoch": 2.74,
"learning_rate": 9.088709677419354e-05,
"loss": 1.3175,
"step": 340
},
{
"epoch": 2.9,
"learning_rate": 9.03494623655914e-05,
"loss": 1.2503,
"step": 360
},
{
"epoch": 3.06,
"learning_rate": 8.983870967741936e-05,
"loss": 1.1104,
"step": 380
},
{
"epoch": 3.23,
"learning_rate": 8.930107526881721e-05,
"loss": 1.131,
"step": 400
},
{
"epoch": 3.23,
"eval_accuracy": 0.7856115107913669,
"eval_loss": 1.0011802911758423,
"eval_runtime": 12.1771,
"eval_samples_per_second": 57.074,
"eval_steps_per_second": 7.145,
"step": 400
},
{
"epoch": 3.39,
"learning_rate": 8.876344086021506e-05,
"loss": 1.1084,
"step": 420
},
{
"epoch": 3.55,
"learning_rate": 8.82258064516129e-05,
"loss": 0.9978,
"step": 440
},
{
"epoch": 3.71,
"learning_rate": 8.768817204301076e-05,
"loss": 1.0633,
"step": 460
},
{
"epoch": 3.87,
"learning_rate": 8.715053763440861e-05,
"loss": 0.9801,
"step": 480
},
{
"epoch": 4.03,
"learning_rate": 8.661290322580645e-05,
"loss": 0.9239,
"step": 500
},
{
"epoch": 4.03,
"eval_accuracy": 0.7827338129496403,
"eval_loss": 0.9055307507514954,
"eval_runtime": 12.1524,
"eval_samples_per_second": 57.19,
"eval_steps_per_second": 7.159,
"step": 500
},
{
"epoch": 4.19,
"learning_rate": 8.60752688172043e-05,
"loss": 0.8721,
"step": 520
},
{
"epoch": 4.35,
"learning_rate": 8.553763440860215e-05,
"loss": 0.8904,
"step": 540
},
{
"epoch": 4.52,
"learning_rate": 8.5e-05,
"loss": 0.8903,
"step": 560
},
{
"epoch": 4.68,
"learning_rate": 8.446236559139785e-05,
"loss": 0.8564,
"step": 580
},
{
"epoch": 4.84,
"learning_rate": 8.39247311827957e-05,
"loss": 0.8699,
"step": 600
},
{
"epoch": 4.84,
"eval_accuracy": 0.7827338129496403,
"eval_loss": 0.8103253841400146,
"eval_runtime": 11.9742,
"eval_samples_per_second": 58.041,
"eval_steps_per_second": 7.266,
"step": 600
},
{
"epoch": 5.0,
"learning_rate": 8.338709677419355e-05,
"loss": 0.8503,
"step": 620
},
{
"epoch": 5.16,
"learning_rate": 8.28494623655914e-05,
"loss": 0.7251,
"step": 640
},
{
"epoch": 5.32,
"learning_rate": 8.231182795698926e-05,
"loss": 0.6939,
"step": 660
},
{
"epoch": 5.48,
"learning_rate": 8.17741935483871e-05,
"loss": 0.7263,
"step": 680
},
{
"epoch": 5.65,
"learning_rate": 8.123655913978495e-05,
"loss": 0.6707,
"step": 700
},
{
"epoch": 5.65,
"eval_accuracy": 0.7841726618705036,
"eval_loss": 0.7609687447547913,
"eval_runtime": 12.2276,
"eval_samples_per_second": 56.839,
"eval_steps_per_second": 7.115,
"step": 700
},
{
"epoch": 5.81,
"learning_rate": 8.06989247311828e-05,
"loss": 0.6822,
"step": 720
},
{
"epoch": 5.97,
"learning_rate": 8.016129032258065e-05,
"loss": 0.716,
"step": 740
},
{
"epoch": 6.13,
"learning_rate": 7.96236559139785e-05,
"loss": 0.6162,
"step": 760
},
{
"epoch": 6.29,
"learning_rate": 7.908602150537635e-05,
"loss": 0.6409,
"step": 780
},
{
"epoch": 6.45,
"learning_rate": 7.85483870967742e-05,
"loss": 0.6206,
"step": 800
},
{
"epoch": 6.45,
"eval_accuracy": 0.7884892086330936,
"eval_loss": 0.7312321066856384,
"eval_runtime": 12.0325,
"eval_samples_per_second": 57.76,
"eval_steps_per_second": 7.23,
"step": 800
},
{
"epoch": 6.61,
"learning_rate": 7.801075268817205e-05,
"loss": 0.6156,
"step": 820
},
{
"epoch": 6.77,
"learning_rate": 7.74731182795699e-05,
"loss": 0.5887,
"step": 840
},
{
"epoch": 6.94,
"learning_rate": 7.693548387096776e-05,
"loss": 0.549,
"step": 860
},
{
"epoch": 7.1,
"learning_rate": 7.63978494623656e-05,
"loss": 0.581,
"step": 880
},
{
"epoch": 7.26,
"learning_rate": 7.586021505376343e-05,
"loss": 0.5795,
"step": 900
},
{
"epoch": 7.26,
"eval_accuracy": 0.8100719424460432,
"eval_loss": 0.6988666653633118,
"eval_runtime": 12.1203,
"eval_samples_per_second": 57.342,
"eval_steps_per_second": 7.178,
"step": 900
},
{
"epoch": 7.42,
"learning_rate": 7.532258064516129e-05,
"loss": 0.4974,
"step": 920
},
{
"epoch": 7.58,
"learning_rate": 7.478494623655914e-05,
"loss": 0.5397,
"step": 940
},
{
"epoch": 7.74,
"learning_rate": 7.424731182795699e-05,
"loss": 0.6128,
"step": 960
},
{
"epoch": 7.9,
"learning_rate": 7.370967741935485e-05,
"loss": 0.5246,
"step": 980
},
{
"epoch": 8.06,
"learning_rate": 7.317204301075268e-05,
"loss": 0.4914,
"step": 1000
},
{
"epoch": 8.06,
"eval_accuracy": 0.781294964028777,
"eval_loss": 0.7066284418106079,
"eval_runtime": 12.169,
"eval_samples_per_second": 57.112,
"eval_steps_per_second": 7.149,
"step": 1000
},
{
"epoch": 8.23,
"learning_rate": 7.263440860215054e-05,
"loss": 0.4653,
"step": 1020
},
{
"epoch": 8.39,
"learning_rate": 7.209677419354839e-05,
"loss": 0.486,
"step": 1040
},
{
"epoch": 8.55,
"learning_rate": 7.155913978494624e-05,
"loss": 0.4781,
"step": 1060
},
{
"epoch": 8.71,
"learning_rate": 7.102150537634408e-05,
"loss": 0.5277,
"step": 1080
},
{
"epoch": 8.87,
"learning_rate": 7.048387096774193e-05,
"loss": 0.5087,
"step": 1100
},
{
"epoch": 8.87,
"eval_accuracy": 0.818705035971223,
"eval_loss": 0.6398155689239502,
"eval_runtime": 12.2159,
"eval_samples_per_second": 56.893,
"eval_steps_per_second": 7.122,
"step": 1100
},
{
"epoch": 9.03,
"learning_rate": 6.994623655913979e-05,
"loss": 0.4671,
"step": 1120
},
{
"epoch": 9.19,
"learning_rate": 6.940860215053764e-05,
"loss": 0.4841,
"step": 1140
},
{
"epoch": 9.35,
"learning_rate": 6.887096774193549e-05,
"loss": 0.4619,
"step": 1160
},
{
"epoch": 9.52,
"learning_rate": 6.833333333333333e-05,
"loss": 0.479,
"step": 1180
},
{
"epoch": 9.68,
"learning_rate": 6.779569892473118e-05,
"loss": 0.4373,
"step": 1200
},
{
"epoch": 9.68,
"eval_accuracy": 0.8043165467625899,
"eval_loss": 0.6293413043022156,
"eval_runtime": 12.0132,
"eval_samples_per_second": 57.853,
"eval_steps_per_second": 7.242,
"step": 1200
},
{
"epoch": 9.84,
"learning_rate": 6.725806451612904e-05,
"loss": 0.4989,
"step": 1220
},
{
"epoch": 10.0,
"learning_rate": 6.672043010752689e-05,
"loss": 0.4829,
"step": 1240
},
{
"epoch": 10.16,
"learning_rate": 6.618279569892474e-05,
"loss": 0.458,
"step": 1260
},
{
"epoch": 10.32,
"learning_rate": 6.564516129032258e-05,
"loss": 0.4135,
"step": 1280
},
{
"epoch": 10.48,
"learning_rate": 6.510752688172043e-05,
"loss": 0.4365,
"step": 1300
},
{
"epoch": 10.48,
"eval_accuracy": 0.7971223021582734,
"eval_loss": 0.672641932964325,
"eval_runtime": 12.1208,
"eval_samples_per_second": 57.339,
"eval_steps_per_second": 7.178,
"step": 1300
},
{
"epoch": 10.65,
"learning_rate": 6.456989247311829e-05,
"loss": 0.4852,
"step": 1320
},
{
"epoch": 10.81,
"learning_rate": 6.403225806451614e-05,
"loss": 0.3868,
"step": 1340
},
{
"epoch": 10.97,
"learning_rate": 6.349462365591398e-05,
"loss": 0.4663,
"step": 1360
},
{
"epoch": 11.13,
"learning_rate": 6.295698924731183e-05,
"loss": 0.396,
"step": 1380
},
{
"epoch": 11.29,
"learning_rate": 6.241935483870967e-05,
"loss": 0.4517,
"step": 1400
},
{
"epoch": 11.29,
"eval_accuracy": 0.8244604316546763,
"eval_loss": 0.6046626567840576,
"eval_runtime": 12.0781,
"eval_samples_per_second": 57.542,
"eval_steps_per_second": 7.203,
"step": 1400
},
{
"epoch": 11.45,
"learning_rate": 6.188172043010752e-05,
"loss": 0.4272,
"step": 1420
},
{
"epoch": 11.61,
"learning_rate": 6.134408602150538e-05,
"loss": 0.3438,
"step": 1440
},
{
"epoch": 11.77,
"learning_rate": 6.080645161290322e-05,
"loss": 0.3741,
"step": 1460
},
{
"epoch": 11.94,
"learning_rate": 6.0268817204301075e-05,
"loss": 0.3633,
"step": 1480
},
{
"epoch": 12.1,
"learning_rate": 5.973118279569893e-05,
"loss": 0.4114,
"step": 1500
},
{
"epoch": 12.1,
"eval_accuracy": 0.823021582733813,
"eval_loss": 0.6088372468948364,
"eval_runtime": 12.1467,
"eval_samples_per_second": 57.217,
"eval_steps_per_second": 7.162,
"step": 1500
},
{
"epoch": 12.26,
"learning_rate": 5.9193548387096774e-05,
"loss": 0.3284,
"step": 1520
},
{
"epoch": 12.42,
"learning_rate": 5.8655913978494627e-05,
"loss": 0.3329,
"step": 1540
},
{
"epoch": 12.58,
"learning_rate": 5.811827956989247e-05,
"loss": 0.3656,
"step": 1560
},
{
"epoch": 12.74,
"learning_rate": 5.7580645161290325e-05,
"loss": 0.3581,
"step": 1580
},
{
"epoch": 12.9,
"learning_rate": 5.704301075268818e-05,
"loss": 0.426,
"step": 1600
},
{
"epoch": 12.9,
"eval_accuracy": 0.8201438848920863,
"eval_loss": 0.6164522171020508,
"eval_runtime": 12.2797,
"eval_samples_per_second": 56.597,
"eval_steps_per_second": 7.085,
"step": 1600
},
{
"epoch": 13.06,
"learning_rate": 5.6505376344086024e-05,
"loss": 0.4441,
"step": 1620
},
{
"epoch": 13.23,
"learning_rate": 5.599462365591398e-05,
"loss": 0.3141,
"step": 1640
},
{
"epoch": 13.39,
"learning_rate": 5.545698924731183e-05,
"loss": 0.3072,
"step": 1660
},
{
"epoch": 13.55,
"learning_rate": 5.491935483870968e-05,
"loss": 0.3348,
"step": 1680
},
{
"epoch": 13.71,
"learning_rate": 5.438172043010753e-05,
"loss": 0.3456,
"step": 1700
},
{
"epoch": 13.71,
"eval_accuracy": 0.8258992805755395,
"eval_loss": 0.6133091449737549,
"eval_runtime": 12.0446,
"eval_samples_per_second": 57.702,
"eval_steps_per_second": 7.223,
"step": 1700
},
{
"epoch": 13.87,
"learning_rate": 5.384408602150538e-05,
"loss": 0.3338,
"step": 1720
},
{
"epoch": 14.03,
"learning_rate": 5.330645161290323e-05,
"loss": 0.3473,
"step": 1740
},
{
"epoch": 14.19,
"learning_rate": 5.276881720430108e-05,
"loss": 0.3563,
"step": 1760
},
{
"epoch": 14.35,
"learning_rate": 5.223118279569893e-05,
"loss": 0.3086,
"step": 1780
},
{
"epoch": 14.52,
"learning_rate": 5.169354838709678e-05,
"loss": 0.332,
"step": 1800
},
{
"epoch": 14.52,
"eval_accuracy": 0.8201438848920863,
"eval_loss": 0.6735997200012207,
"eval_runtime": 11.991,
"eval_samples_per_second": 57.96,
"eval_steps_per_second": 7.255,
"step": 1800
},
{
"epoch": 14.68,
"learning_rate": 5.115591397849463e-05,
"loss": 0.3146,
"step": 1820
},
{
"epoch": 14.84,
"learning_rate": 5.061827956989248e-05,
"loss": 0.3475,
"step": 1840
},
{
"epoch": 15.0,
"learning_rate": 5.008064516129033e-05,
"loss": 0.3397,
"step": 1860
},
{
"epoch": 15.16,
"learning_rate": 4.954301075268817e-05,
"loss": 0.2829,
"step": 1880
},
{
"epoch": 15.32,
"learning_rate": 4.9005376344086024e-05,
"loss": 0.3646,
"step": 1900
},
{
"epoch": 15.32,
"eval_accuracy": 0.8172661870503597,
"eval_loss": 0.6405801177024841,
"eval_runtime": 12.0646,
"eval_samples_per_second": 57.607,
"eval_steps_per_second": 7.211,
"step": 1900
},
{
"epoch": 15.48,
"learning_rate": 4.846774193548387e-05,
"loss": 0.2571,
"step": 1920
},
{
"epoch": 15.65,
"learning_rate": 4.793010752688172e-05,
"loss": 0.3495,
"step": 1940
},
{
"epoch": 15.81,
"learning_rate": 4.7392473118279576e-05,
"loss": 0.2647,
"step": 1960
},
{
"epoch": 15.97,
"learning_rate": 4.685483870967742e-05,
"loss": 0.3063,
"step": 1980
},
{
"epoch": 16.13,
"learning_rate": 4.6317204301075275e-05,
"loss": 0.3287,
"step": 2000
},
{
"epoch": 16.13,
"eval_accuracy": 0.7971223021582734,
"eval_loss": 0.6978276968002319,
"eval_runtime": 12.1198,
"eval_samples_per_second": 57.344,
"eval_steps_per_second": 7.178,
"step": 2000
},
{
"epoch": 16.29,
"learning_rate": 4.577956989247312e-05,
"loss": 0.2456,
"step": 2020
},
{
"epoch": 16.45,
"learning_rate": 4.5241935483870966e-05,
"loss": 0.3242,
"step": 2040
},
{
"epoch": 16.61,
"learning_rate": 4.470430107526882e-05,
"loss": 0.3186,
"step": 2060
},
{
"epoch": 16.77,
"learning_rate": 4.4166666666666665e-05,
"loss": 0.3462,
"step": 2080
},
{
"epoch": 16.94,
"learning_rate": 4.362903225806452e-05,
"loss": 0.2793,
"step": 2100
},
{
"epoch": 16.94,
"eval_accuracy": 0.8172661870503597,
"eval_loss": 0.6432561278343201,
"eval_runtime": 12.0081,
"eval_samples_per_second": 57.878,
"eval_steps_per_second": 7.245,
"step": 2100
},
{
"epoch": 17.1,
"learning_rate": 4.309139784946237e-05,
"loss": 0.2849,
"step": 2120
},
{
"epoch": 17.26,
"learning_rate": 4.2553763440860216e-05,
"loss": 0.3371,
"step": 2140
},
{
"epoch": 17.42,
"learning_rate": 4.201612903225807e-05,
"loss": 0.2561,
"step": 2160
},
{
"epoch": 17.58,
"learning_rate": 4.1478494623655915e-05,
"loss": 0.2628,
"step": 2180
},
{
"epoch": 17.74,
"learning_rate": 4.094086021505377e-05,
"loss": 0.2924,
"step": 2200
},
{
"epoch": 17.74,
"eval_accuracy": 0.814388489208633,
"eval_loss": 0.6474089622497559,
"eval_runtime": 12.255,
"eval_samples_per_second": 56.711,
"eval_steps_per_second": 7.099,
"step": 2200
},
{
"epoch": 17.9,
"learning_rate": 4.0403225806451614e-05,
"loss": 0.2935,
"step": 2220
},
{
"epoch": 18.06,
"learning_rate": 3.9865591397849466e-05,
"loss": 0.5124,
"step": 2240
},
{
"epoch": 18.23,
"learning_rate": 3.932795698924731e-05,
"loss": 0.2954,
"step": 2260
},
{
"epoch": 18.39,
"learning_rate": 3.879032258064516e-05,
"loss": 0.2584,
"step": 2280
},
{
"epoch": 18.55,
"learning_rate": 3.825268817204301e-05,
"loss": 0.2605,
"step": 2300
},
{
"epoch": 18.55,
"eval_accuracy": 0.8287769784172662,
"eval_loss": 0.627909243106842,
"eval_runtime": 12.1775,
"eval_samples_per_second": 57.072,
"eval_steps_per_second": 7.144,
"step": 2300
},
{
"epoch": 18.71,
"learning_rate": 3.7715053763440864e-05,
"loss": 0.312,
"step": 2320
},
{
"epoch": 18.87,
"learning_rate": 3.717741935483871e-05,
"loss": 0.2679,
"step": 2340
},
{
"epoch": 19.03,
"learning_rate": 3.663978494623656e-05,
"loss": 0.2654,
"step": 2360
},
{
"epoch": 19.19,
"learning_rate": 3.610215053763441e-05,
"loss": 0.2524,
"step": 2380
},
{
"epoch": 19.35,
"learning_rate": 3.556451612903226e-05,
"loss": 0.2016,
"step": 2400
},
{
"epoch": 19.35,
"eval_accuracy": 0.8215827338129497,
"eval_loss": 0.6360746026039124,
"eval_runtime": 12.0929,
"eval_samples_per_second": 57.472,
"eval_steps_per_second": 7.194,
"step": 2400
},
{
"epoch": 19.52,
"learning_rate": 3.502688172043011e-05,
"loss": 0.2691,
"step": 2420
},
{
"epoch": 19.68,
"learning_rate": 3.448924731182796e-05,
"loss": 0.2068,
"step": 2440
},
{
"epoch": 19.84,
"learning_rate": 3.395161290322581e-05,
"loss": 0.3017,
"step": 2460
},
{
"epoch": 20.0,
"learning_rate": 3.341397849462366e-05,
"loss": 0.2318,
"step": 2480
},
{
"epoch": 20.16,
"learning_rate": 3.2876344086021504e-05,
"loss": 0.2524,
"step": 2500
},
{
"epoch": 20.16,
"eval_accuracy": 0.8258992805755395,
"eval_loss": 0.6393768191337585,
"eval_runtime": 12.2058,
"eval_samples_per_second": 56.94,
"eval_steps_per_second": 7.128,
"step": 2500
},
{
"epoch": 20.32,
"learning_rate": 3.233870967741936e-05,
"loss": 0.2603,
"step": 2520
},
{
"epoch": 20.48,
"learning_rate": 3.18010752688172e-05,
"loss": 0.207,
"step": 2540
},
{
"epoch": 20.65,
"learning_rate": 3.1263440860215056e-05,
"loss": 0.1927,
"step": 2560
},
{
"epoch": 20.81,
"learning_rate": 3.07258064516129e-05,
"loss": 0.1947,
"step": 2580
},
{
"epoch": 20.97,
"learning_rate": 3.0188172043010754e-05,
"loss": 0.2017,
"step": 2600
},
{
"epoch": 20.97,
"eval_accuracy": 0.8158273381294964,
"eval_loss": 0.6682714223861694,
"eval_runtime": 12.0188,
"eval_samples_per_second": 57.826,
"eval_steps_per_second": 7.239,
"step": 2600
},
{
"epoch": 21.13,
"learning_rate": 2.9650537634408604e-05,
"loss": 0.2351,
"step": 2620
},
{
"epoch": 21.29,
"learning_rate": 2.9112903225806453e-05,
"loss": 0.1842,
"step": 2640
},
{
"epoch": 21.45,
"learning_rate": 2.8575268817204302e-05,
"loss": 0.2131,
"step": 2660
},
{
"epoch": 21.61,
"learning_rate": 2.8037634408602155e-05,
"loss": 0.2509,
"step": 2680
},
{
"epoch": 21.77,
"learning_rate": 2.7500000000000004e-05,
"loss": 0.2082,
"step": 2700
},
{
"epoch": 21.77,
"eval_accuracy": 0.8345323741007195,
"eval_loss": 0.6389289498329163,
"eval_runtime": 12.0715,
"eval_samples_per_second": 57.574,
"eval_steps_per_second": 7.207,
"step": 2700
},
{
"epoch": 21.94,
"learning_rate": 2.6962365591397854e-05,
"loss": 0.2671,
"step": 2720
},
{
"epoch": 22.1,
"learning_rate": 2.6424731182795696e-05,
"loss": 0.2534,
"step": 2740
},
{
"epoch": 22.26,
"learning_rate": 2.588709677419355e-05,
"loss": 0.205,
"step": 2760
},
{
"epoch": 22.42,
"learning_rate": 2.5349462365591398e-05,
"loss": 0.1904,
"step": 2780
},
{
"epoch": 22.58,
"learning_rate": 2.4811827956989248e-05,
"loss": 0.2751,
"step": 2800
},
{
"epoch": 22.58,
"eval_accuracy": 0.837410071942446,
"eval_loss": 0.6141177415847778,
"eval_runtime": 12.0253,
"eval_samples_per_second": 57.795,
"eval_steps_per_second": 7.235,
"step": 2800
},
{
"epoch": 22.74,
"learning_rate": 2.4274193548387097e-05,
"loss": 0.1863,
"step": 2820
},
{
"epoch": 22.9,
"learning_rate": 2.3736559139784946e-05,
"loss": 0.2385,
"step": 2840
},
{
"epoch": 23.06,
"learning_rate": 2.31989247311828e-05,
"loss": 0.1666,
"step": 2860
},
{
"epoch": 23.23,
"learning_rate": 2.266129032258065e-05,
"loss": 0.2087,
"step": 2880
},
{
"epoch": 23.39,
"learning_rate": 2.2123655913978494e-05,
"loss": 0.207,
"step": 2900
},
{
"epoch": 23.39,
"eval_accuracy": 0.8258992805755395,
"eval_loss": 0.6051694750785828,
"eval_runtime": 12.011,
"eval_samples_per_second": 57.864,
"eval_steps_per_second": 7.243,
"step": 2900
},
{
"epoch": 23.55,
"learning_rate": 2.1586021505376344e-05,
"loss": 0.2026,
"step": 2920
},
{
"epoch": 23.71,
"learning_rate": 2.1048387096774193e-05,
"loss": 0.2073,
"step": 2940
},
{
"epoch": 23.87,
"learning_rate": 2.0510752688172046e-05,
"loss": 0.1829,
"step": 2960
},
{
"epoch": 24.03,
"learning_rate": 1.9973118279569895e-05,
"loss": 0.2048,
"step": 2980
},
{
"epoch": 24.19,
"learning_rate": 1.9435483870967744e-05,
"loss": 0.1791,
"step": 3000
},
{
"epoch": 24.19,
"eval_accuracy": 0.823021582733813,
"eval_loss": 0.6331909894943237,
"eval_runtime": 12.2518,
"eval_samples_per_second": 56.726,
"eval_steps_per_second": 7.101,
"step": 3000
},
{
"epoch": 24.35,
"learning_rate": 1.889784946236559e-05,
"loss": 0.2243,
"step": 3020
},
{
"epoch": 24.52,
"learning_rate": 1.836021505376344e-05,
"loss": 0.2148,
"step": 3040
},
{
"epoch": 24.68,
"learning_rate": 1.7822580645161292e-05,
"loss": 0.2568,
"step": 3060
},
{
"epoch": 24.84,
"learning_rate": 1.728494623655914e-05,
"loss": 0.1782,
"step": 3080
},
{
"epoch": 25.0,
"learning_rate": 1.674731182795699e-05,
"loss": 0.1719,
"step": 3100
},
{
"epoch": 25.0,
"eval_accuracy": 0.8402877697841726,
"eval_loss": 0.5942012071609497,
"eval_runtime": 12.1124,
"eval_samples_per_second": 57.379,
"eval_steps_per_second": 7.183,
"step": 3100
},
{
"epoch": 25.16,
"learning_rate": 1.620967741935484e-05,
"loss": 0.1881,
"step": 3120
},
{
"epoch": 25.32,
"learning_rate": 1.5672043010752686e-05,
"loss": 0.2375,
"step": 3140
},
{
"epoch": 25.48,
"learning_rate": 1.5134408602150537e-05,
"loss": 0.1779,
"step": 3160
},
{
"epoch": 25.65,
"learning_rate": 1.4596774193548388e-05,
"loss": 0.1753,
"step": 3180
},
{
"epoch": 25.81,
"learning_rate": 1.4059139784946238e-05,
"loss": 0.1685,
"step": 3200
},
{
"epoch": 25.81,
"eval_accuracy": 0.8359712230215828,
"eval_loss": 0.612082839012146,
"eval_runtime": 12.1399,
"eval_samples_per_second": 57.249,
"eval_steps_per_second": 7.166,
"step": 3200
},
{
"epoch": 25.97,
"learning_rate": 1.3521505376344087e-05,
"loss": 0.1407,
"step": 3220
},
{
"epoch": 26.13,
"learning_rate": 1.2983870967741938e-05,
"loss": 0.1854,
"step": 3240
},
{
"epoch": 26.29,
"learning_rate": 1.2446236559139786e-05,
"loss": 0.1956,
"step": 3260
},
{
"epoch": 26.45,
"learning_rate": 1.1908602150537635e-05,
"loss": 0.2,
"step": 3280
},
{
"epoch": 26.61,
"learning_rate": 1.1370967741935484e-05,
"loss": 0.1557,
"step": 3300
},
{
"epoch": 26.61,
"eval_accuracy": 0.8345323741007195,
"eval_loss": 0.6236761212348938,
"eval_runtime": 11.9687,
"eval_samples_per_second": 58.068,
"eval_steps_per_second": 7.269,
"step": 3300
},
{
"epoch": 26.77,
"learning_rate": 1.0833333333333334e-05,
"loss": 0.212,
"step": 3320
},
{
"epoch": 26.94,
"learning_rate": 1.0295698924731183e-05,
"loss": 0.1893,
"step": 3340
},
{
"epoch": 27.1,
"learning_rate": 9.758064516129032e-06,
"loss": 0.159,
"step": 3360
},
{
"epoch": 27.26,
"learning_rate": 9.220430107526883e-06,
"loss": 0.1755,
"step": 3380
},
{
"epoch": 27.42,
"learning_rate": 8.68279569892473e-06,
"loss": 0.1694,
"step": 3400
},
{
"epoch": 27.42,
"eval_accuracy": 0.8316546762589928,
"eval_loss": 0.6371967792510986,
"eval_runtime": 12.2075,
"eval_samples_per_second": 56.932,
"eval_steps_per_second": 7.127,
"step": 3400
},
{
"epoch": 27.58,
"learning_rate": 8.145161290322582e-06,
"loss": 0.1552,
"step": 3420
},
{
"epoch": 27.74,
"learning_rate": 7.607526881720431e-06,
"loss": 0.1848,
"step": 3440
},
{
"epoch": 27.9,
"learning_rate": 7.06989247311828e-06,
"loss": 0.1467,
"step": 3460
},
{
"epoch": 28.06,
"learning_rate": 6.532258064516129e-06,
"loss": 0.1292,
"step": 3480
},
{
"epoch": 28.23,
"learning_rate": 5.994623655913978e-06,
"loss": 0.1927,
"step": 3500
},
{
"epoch": 28.23,
"eval_accuracy": 0.8273381294964028,
"eval_loss": 0.6377986073493958,
"eval_runtime": 12.0256,
"eval_samples_per_second": 57.793,
"eval_steps_per_second": 7.235,
"step": 3500
},
{
"epoch": 28.39,
"learning_rate": 5.4569892473118285e-06,
"loss": 0.2078,
"step": 3520
},
{
"epoch": 28.55,
"learning_rate": 4.919354838709678e-06,
"loss": 0.1992,
"step": 3540
},
{
"epoch": 28.71,
"learning_rate": 4.381720430107527e-06,
"loss": 0.1773,
"step": 3560
},
{
"epoch": 28.87,
"learning_rate": 3.8440860215053765e-06,
"loss": 0.1334,
"step": 3580
},
{
"epoch": 29.03,
"learning_rate": 3.3064516129032262e-06,
"loss": 0.1375,
"step": 3600
},
{
"epoch": 29.03,
"eval_accuracy": 0.8330935251798561,
"eval_loss": 0.6257502436637878,
"eval_runtime": 12.1079,
"eval_samples_per_second": 57.4,
"eval_steps_per_second": 7.185,
"step": 3600
},
{
"epoch": 29.19,
"learning_rate": 2.768817204301075e-06,
"loss": 0.1842,
"step": 3620
},
{
"epoch": 29.35,
"learning_rate": 2.231182795698925e-06,
"loss": 0.169,
"step": 3640
},
{
"epoch": 29.52,
"learning_rate": 1.6935483870967744e-06,
"loss": 0.1623,
"step": 3660
},
{
"epoch": 29.68,
"learning_rate": 1.1559139784946237e-06,
"loss": 0.1658,
"step": 3680
},
{
"epoch": 29.84,
"learning_rate": 6.182795698924732e-07,
"loss": 0.1653,
"step": 3700
},
{
"epoch": 29.84,
"eval_accuracy": 0.8330935251798561,
"eval_loss": 0.626188337802887,
"eval_runtime": 12.1517,
"eval_samples_per_second": 57.193,
"eval_steps_per_second": 7.159,
"step": 3700
},
{
"epoch": 30.0,
"learning_rate": 8.064516129032259e-08,
"loss": 0.1634,
"step": 3720
},
{
"epoch": 30.0,
"step": 3720,
"total_flos": 9.155203906807849e+18,
"train_loss": 0.5316014153983003,
"train_runtime": 4018.8325,
"train_samples_per_second": 29.389,
"train_steps_per_second": 0.926
}
],
"logging_steps": 20,
"max_steps": 3720,
"num_train_epochs": 30,
"save_steps": 100,
"total_flos": 9.155203906807849e+18,
"trial_name": null,
"trial_params": null
}