llava-v1.6-mistral-7b-STIC / trainer_state.json
ydeng9's picture
Upload 6 files
c890150 verified
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 1.0,
"eval_steps": 500,
"global_step": 79,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.01,
"learning_rate": 6.666666666666667e-06,
"loss": 1.563,
"step": 1
},
{
"epoch": 0.03,
"learning_rate": 1.3333333333333333e-05,
"loss": 1.3043,
"step": 2
},
{
"epoch": 0.04,
"learning_rate": 2e-05,
"loss": 1.2638,
"step": 3
},
{
"epoch": 0.05,
"learning_rate": 1.999145758387301e-05,
"loss": 1.3178,
"step": 4
},
{
"epoch": 0.06,
"learning_rate": 1.99658449300667e-05,
"loss": 0.9881,
"step": 5
},
{
"epoch": 0.08,
"learning_rate": 1.992320579737045e-05,
"loss": 0.9734,
"step": 6
},
{
"epoch": 0.09,
"learning_rate": 1.9863613034027224e-05,
"loss": 1.0088,
"step": 7
},
{
"epoch": 0.1,
"learning_rate": 1.9787168453273546e-05,
"loss": 0.996,
"step": 8
},
{
"epoch": 0.11,
"learning_rate": 1.9694002659393306e-05,
"loss": 0.8973,
"step": 9
},
{
"epoch": 0.13,
"learning_rate": 1.958427482458253e-05,
"loss": 0.9568,
"step": 10
},
{
"epoch": 0.14,
"learning_rate": 1.9458172417006347e-05,
"loss": 0.9458,
"step": 11
},
{
"epoch": 0.15,
"learning_rate": 1.9315910880512792e-05,
"loss": 0.9379,
"step": 12
},
{
"epoch": 0.16,
"learning_rate": 1.9157733266550577e-05,
"loss": 0.9296,
"step": 13
},
{
"epoch": 0.18,
"learning_rate": 1.898390981891979e-05,
"loss": 0.8659,
"step": 14
},
{
"epoch": 0.19,
"learning_rate": 1.879473751206489e-05,
"loss": 0.876,
"step": 15
},
{
"epoch": 0.2,
"learning_rate": 1.8590539543698852e-05,
"loss": 0.8748,
"step": 16
},
{
"epoch": 0.22,
"learning_rate": 1.8371664782625287e-05,
"loss": 0.9528,
"step": 17
},
{
"epoch": 0.23,
"learning_rate": 1.813848717270195e-05,
"loss": 0.9572,
"step": 18
},
{
"epoch": 0.24,
"learning_rate": 1.789140509396394e-05,
"loss": 0.903,
"step": 19
},
{
"epoch": 0.25,
"learning_rate": 1.7630840681998068e-05,
"loss": 0.8989,
"step": 20
},
{
"epoch": 0.27,
"learning_rate": 1.735723910673132e-05,
"loss": 0.8918,
"step": 21
},
{
"epoch": 0.28,
"learning_rate": 1.7071067811865477e-05,
"loss": 0.8911,
"step": 22
},
{
"epoch": 0.29,
"learning_rate": 1.6772815716257414e-05,
"loss": 0.9015,
"step": 23
},
{
"epoch": 0.3,
"learning_rate": 1.646299237860941e-05,
"loss": 0.8788,
"step": 24
},
{
"epoch": 0.32,
"learning_rate": 1.6142127126896682e-05,
"loss": 0.8929,
"step": 25
},
{
"epoch": 0.33,
"learning_rate": 1.5810768154019386e-05,
"loss": 0.9049,
"step": 26
},
{
"epoch": 0.34,
"learning_rate": 1.5469481581224274e-05,
"loss": 0.8985,
"step": 27
},
{
"epoch": 0.35,
"learning_rate": 1.5118850490896012e-05,
"loss": 0.9353,
"step": 28
},
{
"epoch": 0.37,
"learning_rate": 1.4759473930370738e-05,
"loss": 0.8249,
"step": 29
},
{
"epoch": 0.38,
"learning_rate": 1.4391965888473705e-05,
"loss": 0.8426,
"step": 30
},
{
"epoch": 0.39,
"learning_rate": 1.4016954246529697e-05,
"loss": 0.8492,
"step": 31
},
{
"epoch": 0.41,
"learning_rate": 1.3635079705638298e-05,
"loss": 0.8952,
"step": 32
},
{
"epoch": 0.42,
"learning_rate": 1.3246994692046837e-05,
"loss": 0.8821,
"step": 33
},
{
"epoch": 0.43,
"learning_rate": 1.2853362242491054e-05,
"loss": 0.8758,
"step": 34
},
{
"epoch": 0.44,
"learning_rate": 1.2454854871407993e-05,
"loss": 0.8224,
"step": 35
},
{
"epoch": 0.46,
"learning_rate": 1.2052153421956343e-05,
"loss": 0.8758,
"step": 36
},
{
"epoch": 0.47,
"learning_rate": 1.164594590280734e-05,
"loss": 0.8689,
"step": 37
},
{
"epoch": 0.48,
"learning_rate": 1.123692631269348e-05,
"loss": 0.7884,
"step": 38
},
{
"epoch": 0.49,
"learning_rate": 1.0825793454723325e-05,
"loss": 0.8356,
"step": 39
},
{
"epoch": 0.51,
"learning_rate": 1.0413249742488132e-05,
"loss": 0.8492,
"step": 40
},
{
"epoch": 0.52,
"learning_rate": 1e-05,
"loss": 0.9018,
"step": 41
},
{
"epoch": 0.53,
"learning_rate": 9.586750257511868e-06,
"loss": 0.8776,
"step": 42
},
{
"epoch": 0.54,
"learning_rate": 9.174206545276678e-06,
"loss": 0.8249,
"step": 43
},
{
"epoch": 0.56,
"learning_rate": 8.763073687306523e-06,
"loss": 0.9175,
"step": 44
},
{
"epoch": 0.57,
"learning_rate": 8.35405409719266e-06,
"loss": 0.8375,
"step": 45
},
{
"epoch": 0.58,
"learning_rate": 7.947846578043658e-06,
"loss": 0.9021,
"step": 46
},
{
"epoch": 0.59,
"learning_rate": 7.545145128592009e-06,
"loss": 0.8291,
"step": 47
},
{
"epoch": 0.61,
"learning_rate": 7.14663775750895e-06,
"loss": 0.8727,
"step": 48
},
{
"epoch": 0.62,
"learning_rate": 6.7530053079531664e-06,
"loss": 0.8673,
"step": 49
},
{
"epoch": 0.63,
"learning_rate": 6.364920294361701e-06,
"loss": 0.8716,
"step": 50
},
{
"epoch": 0.65,
"learning_rate": 5.983045753470308e-06,
"loss": 0.8658,
"step": 51
},
{
"epoch": 0.66,
"learning_rate": 5.608034111526298e-06,
"loss": 0.8199,
"step": 52
},
{
"epoch": 0.67,
"learning_rate": 5.240526069629265e-06,
"loss": 0.9193,
"step": 53
},
{
"epoch": 0.68,
"learning_rate": 4.881149509103993e-06,
"loss": 0.7906,
"step": 54
},
{
"epoch": 0.7,
"learning_rate": 4.530518418775734e-06,
"loss": 0.8785,
"step": 55
},
{
"epoch": 0.71,
"learning_rate": 4.189231845980618e-06,
"loss": 0.8281,
"step": 56
},
{
"epoch": 0.72,
"learning_rate": 3.857872873103322e-06,
"loss": 0.8772,
"step": 57
},
{
"epoch": 0.73,
"learning_rate": 3.5370076213905904e-06,
"loss": 0.8723,
"step": 58
},
{
"epoch": 0.75,
"learning_rate": 3.2271842837425917e-06,
"loss": 0.8242,
"step": 59
},
{
"epoch": 0.76,
"learning_rate": 2.9289321881345257e-06,
"loss": 0.8723,
"step": 60
},
{
"epoch": 0.77,
"learning_rate": 2.642760893268684e-06,
"loss": 0.8294,
"step": 61
},
{
"epoch": 0.78,
"learning_rate": 2.369159318001937e-06,
"loss": 0.8132,
"step": 62
},
{
"epoch": 0.8,
"learning_rate": 2.1085949060360654e-06,
"loss": 0.9158,
"step": 63
},
{
"epoch": 0.81,
"learning_rate": 1.861512827298051e-06,
"loss": 0.8152,
"step": 64
},
{
"epoch": 0.82,
"learning_rate": 1.6283352173747148e-06,
"loss": 0.8172,
"step": 65
},
{
"epoch": 0.84,
"learning_rate": 1.409460456301147e-06,
"loss": 0.8718,
"step": 66
},
{
"epoch": 0.85,
"learning_rate": 1.2052624879351105e-06,
"loss": 0.8251,
"step": 67
},
{
"epoch": 0.86,
"learning_rate": 1.0160901810802114e-06,
"loss": 0.8401,
"step": 68
},
{
"epoch": 0.87,
"learning_rate": 8.42266733449425e-07,
"loss": 0.8318,
"step": 69
},
{
"epoch": 0.89,
"learning_rate": 6.840891194872112e-07,
"loss": 0.8563,
"step": 70
},
{
"epoch": 0.9,
"learning_rate": 5.418275829936537e-07,
"loss": 0.87,
"step": 71
},
{
"epoch": 0.91,
"learning_rate": 4.1572517541747294e-07,
"loss": 0.8736,
"step": 72
},
{
"epoch": 0.92,
"learning_rate": 3.059973406066963e-07,
"loss": 0.837,
"step": 73
},
{
"epoch": 0.94,
"learning_rate": 2.1283154672645522e-07,
"loss": 0.8477,
"step": 74
},
{
"epoch": 0.95,
"learning_rate": 1.3638696597277678e-07,
"loss": 0.8302,
"step": 75
},
{
"epoch": 0.96,
"learning_rate": 7.679420262954984e-08,
"loss": 0.8606,
"step": 76
},
{
"epoch": 0.97,
"learning_rate": 3.4155069933301535e-08,
"loss": 0.904,
"step": 77
},
{
"epoch": 0.99,
"learning_rate": 8.542416126989805e-09,
"loss": 0.8027,
"step": 78
},
{
"epoch": 1.0,
"learning_rate": 0.0,
"loss": 0.8881,
"step": 79
},
{
"epoch": 1.0,
"step": 79,
"total_flos": 2.0832241753627034e+17,
"train_loss": 0.9012186353719687,
"train_runtime": 1256.0083,
"train_samples_per_second": 3.981,
"train_steps_per_second": 0.063
}
],
"logging_steps": 1.0,
"max_steps": 79,
"num_input_tokens_seen": 0,
"num_train_epochs": 1,
"save_steps": 1000,
"total_flos": 2.0832241753627034e+17,
"train_batch_size": 16,
"trial_name": null,
"trial_params": null
}