ribesstefano's picture
Initial version
9943265
raw
history blame contribute delete
No virus
7.59 kB
{
"best_metric": 0.5166051660516605,
"best_model_checkpoint": "RuleBert-v0.2-k0/checkpoint-1500",
"epoch": 0.49382716049382713,
"eval_steps": 250,
"global_step": 2000,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.01,
"learning_rate": 9.937500000000001e-06,
"loss": 0.5636,
"step": 50
},
{
"epoch": 0.02,
"learning_rate": 9.875000000000001e-06,
"loss": 0.3677,
"step": 100
},
{
"epoch": 0.04,
"learning_rate": 9.8125e-06,
"loss": 0.3585,
"step": 150
},
{
"epoch": 0.05,
"learning_rate": 9.75e-06,
"loss": 0.3372,
"step": 200
},
{
"epoch": 0.06,
"learning_rate": 9.6875e-06,
"loss": 0.3226,
"step": 250
},
{
"epoch": 0.06,
"eval_accuracy": 0.06666666666666667,
"eval_f1": 0.5180722891566265,
"eval_loss": 0.36232367157936096,
"eval_roc_auc": 0.6758306628436499,
"eval_runtime": 1.6645,
"eval_samples_per_second": 90.118,
"eval_steps_per_second": 1.802,
"step": 250
},
{
"epoch": 0.07,
"learning_rate": 9.625e-06,
"loss": 0.3323,
"step": 300
},
{
"epoch": 0.09,
"learning_rate": 9.562500000000002e-06,
"loss": 0.3451,
"step": 350
},
{
"epoch": 0.1,
"learning_rate": 9.5e-06,
"loss": 0.3317,
"step": 400
},
{
"epoch": 0.11,
"learning_rate": 9.4375e-06,
"loss": 0.3297,
"step": 450
},
{
"epoch": 0.12,
"learning_rate": 9.375000000000001e-06,
"loss": 0.3287,
"step": 500
},
{
"epoch": 0.12,
"eval_accuracy": 0.0,
"eval_f1": 0.49723756906077354,
"eval_loss": 0.3665144741535187,
"eval_roc_auc": 0.6720357564513407,
"eval_runtime": 1.6779,
"eval_samples_per_second": 89.396,
"eval_steps_per_second": 1.788,
"step": 500
},
{
"epoch": 0.14,
"learning_rate": 9.312500000000001e-06,
"loss": 0.3359,
"step": 550
},
{
"epoch": 0.15,
"learning_rate": 9.25125e-06,
"loss": 0.3331,
"step": 600
},
{
"epoch": 0.16,
"learning_rate": 9.18875e-06,
"loss": 0.3374,
"step": 650
},
{
"epoch": 0.17,
"learning_rate": 9.126250000000001e-06,
"loss": 0.3367,
"step": 700
},
{
"epoch": 0.19,
"learning_rate": 9.065e-06,
"loss": 0.3195,
"step": 750
},
{
"epoch": 0.19,
"eval_accuracy": 0.04,
"eval_f1": 0.5126993502658004,
"eval_loss": 0.3585328757762909,
"eval_roc_auc": 0.6747933884297521,
"eval_runtime": 1.6851,
"eval_samples_per_second": 89.013,
"eval_steps_per_second": 1.78,
"step": 750
},
{
"epoch": 0.2,
"learning_rate": 9.0025e-06,
"loss": 0.3226,
"step": 800
},
{
"epoch": 0.21,
"learning_rate": 8.94e-06,
"loss": 0.3435,
"step": 850
},
{
"epoch": 0.22,
"learning_rate": 8.87875e-06,
"loss": 0.3213,
"step": 900
},
{
"epoch": 0.23,
"learning_rate": 8.817500000000002e-06,
"loss": 0.3313,
"step": 950
},
{
"epoch": 0.25,
"learning_rate": 8.755e-06,
"loss": 0.3241,
"step": 1000
},
{
"epoch": 0.25,
"eval_accuracy": 0.03333333333333333,
"eval_f1": 0.5134189031505251,
"eval_loss": 0.3658309876918793,
"eval_roc_auc": 0.6758812615955473,
"eval_runtime": 1.6782,
"eval_samples_per_second": 89.383,
"eval_steps_per_second": 1.788,
"step": 1000
},
{
"epoch": 0.26,
"learning_rate": 8.6925e-06,
"loss": 0.3257,
"step": 1050
},
{
"epoch": 0.27,
"learning_rate": 8.63e-06,
"loss": 0.3288,
"step": 1100
},
{
"epoch": 0.28,
"learning_rate": 8.5675e-06,
"loss": 0.3331,
"step": 1150
},
{
"epoch": 0.3,
"learning_rate": 8.505e-06,
"loss": 0.3529,
"step": 1200
},
{
"epoch": 0.31,
"learning_rate": 8.442500000000001e-06,
"loss": 0.3321,
"step": 1250
},
{
"epoch": 0.31,
"eval_accuracy": 0.0,
"eval_f1": 0.49723756906077354,
"eval_loss": 0.3737262487411499,
"eval_roc_auc": 0.6720357564513407,
"eval_runtime": 1.69,
"eval_samples_per_second": 88.759,
"eval_steps_per_second": 1.775,
"step": 1250
},
{
"epoch": 0.32,
"learning_rate": 8.380000000000001e-06,
"loss": 0.3339,
"step": 1300
},
{
"epoch": 0.33,
"learning_rate": 8.317500000000001e-06,
"loss": 0.3153,
"step": 1350
},
{
"epoch": 0.35,
"learning_rate": 8.255000000000001e-06,
"loss": 0.3406,
"step": 1400
},
{
"epoch": 0.36,
"learning_rate": 8.192500000000002e-06,
"loss": 0.3109,
"step": 1450
},
{
"epoch": 0.37,
"learning_rate": 8.13e-06,
"loss": 0.3315,
"step": 1500
},
{
"epoch": 0.37,
"eval_accuracy": 0.02666666666666667,
"eval_f1": 0.5166051660516605,
"eval_loss": 0.3748493194580078,
"eval_roc_auc": 0.6842047562826783,
"eval_runtime": 1.6814,
"eval_samples_per_second": 89.211,
"eval_steps_per_second": 1.784,
"step": 1500
},
{
"epoch": 0.38,
"learning_rate": 8.0675e-06,
"loss": 0.3066,
"step": 1550
},
{
"epoch": 0.4,
"learning_rate": 8.005e-06,
"loss": 0.3143,
"step": 1600
},
{
"epoch": 0.41,
"learning_rate": 7.9425e-06,
"loss": 0.3286,
"step": 1650
},
{
"epoch": 0.42,
"learning_rate": 7.88e-06,
"loss": 0.3125,
"step": 1700
},
{
"epoch": 0.43,
"learning_rate": 7.8175e-06,
"loss": 0.3384,
"step": 1750
},
{
"epoch": 0.43,
"eval_accuracy": 0.02666666666666667,
"eval_f1": 0.5051546391752577,
"eval_loss": 0.367872029542923,
"eval_roc_auc": 0.6734187890032046,
"eval_runtime": 1.6925,
"eval_samples_per_second": 88.625,
"eval_steps_per_second": 1.772,
"step": 1750
},
{
"epoch": 0.44,
"learning_rate": 7.755000000000001e-06,
"loss": 0.3061,
"step": 1800
},
{
"epoch": 0.46,
"learning_rate": 7.692500000000001e-06,
"loss": 0.32,
"step": 1850
},
{
"epoch": 0.47,
"learning_rate": 7.630000000000001e-06,
"loss": 0.3211,
"step": 1900
},
{
"epoch": 0.48,
"learning_rate": 7.567500000000001e-06,
"loss": 0.3104,
"step": 1950
},
{
"epoch": 0.49,
"learning_rate": 7.505e-06,
"loss": 0.3338,
"step": 2000
},
{
"epoch": 0.49,
"eval_accuracy": 0.02,
"eval_f1": 0.5050732807215332,
"eval_loss": 0.3726758658885956,
"eval_roc_auc": 0.6743632990386238,
"eval_runtime": 1.6832,
"eval_samples_per_second": 89.116,
"eval_steps_per_second": 1.782,
"step": 2000
}
],
"logging_steps": 50,
"max_steps": 8000,
"num_input_tokens_seen": 0,
"num_train_epochs": 2,
"save_steps": 500,
"total_flos": 1052841099264000.0,
"train_batch_size": 2,
"trial_name": null,
"trial_params": null
}