rizkyjun's picture
Training in progress, step 4100, checkpoint
f9fd1b4
raw
history blame
13.1 kB
{
"best_metric": 1.9813369512557983,
"best_model_checkpoint": "./outputs/checkpoint-4100",
"epoch": 2.987249544626594,
"eval_steps": 100,
"global_step": 4100,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.07,
"learning_rate": 0.0002,
"loss": 2.7401,
"step": 100
},
{
"epoch": 0.07,
"eval_loss": 2.6427574157714844,
"eval_runtime": 205.0145,
"eval_samples_per_second": 30.603,
"eval_steps_per_second": 3.829,
"step": 100
},
{
"epoch": 0.15,
"learning_rate": 0.0002,
"loss": 2.6057,
"step": 200
},
{
"epoch": 0.15,
"eval_loss": 2.591986656188965,
"eval_runtime": 205.1897,
"eval_samples_per_second": 30.577,
"eval_steps_per_second": 3.826,
"step": 200
},
{
"epoch": 0.22,
"learning_rate": 0.0002,
"loss": 2.5624,
"step": 300
},
{
"epoch": 0.22,
"eval_loss": 2.5554449558258057,
"eval_runtime": 204.8733,
"eval_samples_per_second": 30.624,
"eval_steps_per_second": 3.832,
"step": 300
},
{
"epoch": 0.29,
"learning_rate": 0.0002,
"loss": 2.5354,
"step": 400
},
{
"epoch": 0.29,
"eval_loss": 2.523040533065796,
"eval_runtime": 205.0355,
"eval_samples_per_second": 30.6,
"eval_steps_per_second": 3.829,
"step": 400
},
{
"epoch": 0.36,
"learning_rate": 0.0002,
"loss": 2.4938,
"step": 500
},
{
"epoch": 0.36,
"eval_loss": 2.497437000274658,
"eval_runtime": 204.8026,
"eval_samples_per_second": 30.634,
"eval_steps_per_second": 3.833,
"step": 500
},
{
"epoch": 0.44,
"learning_rate": 0.0002,
"loss": 2.4668,
"step": 600
},
{
"epoch": 0.44,
"eval_loss": 2.4717156887054443,
"eval_runtime": 204.8144,
"eval_samples_per_second": 30.633,
"eval_steps_per_second": 3.833,
"step": 600
},
{
"epoch": 0.51,
"learning_rate": 0.0002,
"loss": 2.4508,
"step": 700
},
{
"epoch": 0.51,
"eval_loss": 2.449354410171509,
"eval_runtime": 204.5211,
"eval_samples_per_second": 30.677,
"eval_steps_per_second": 3.838,
"step": 700
},
{
"epoch": 0.58,
"learning_rate": 0.0002,
"loss": 2.4278,
"step": 800
},
{
"epoch": 0.58,
"eval_loss": 2.4278199672698975,
"eval_runtime": 204.6341,
"eval_samples_per_second": 30.66,
"eval_steps_per_second": 3.836,
"step": 800
},
{
"epoch": 0.66,
"learning_rate": 0.0002,
"loss": 2.3928,
"step": 900
},
{
"epoch": 0.66,
"eval_loss": 2.4054911136627197,
"eval_runtime": 204.5808,
"eval_samples_per_second": 30.668,
"eval_steps_per_second": 3.837,
"step": 900
},
{
"epoch": 0.73,
"learning_rate": 0.0002,
"loss": 2.389,
"step": 1000
},
{
"epoch": 0.73,
"eval_loss": 2.3888440132141113,
"eval_runtime": 204.475,
"eval_samples_per_second": 30.683,
"eval_steps_per_second": 3.839,
"step": 1000
},
{
"epoch": 0.8,
"learning_rate": 0.0002,
"loss": 2.3831,
"step": 1100
},
{
"epoch": 0.8,
"eval_loss": 2.366816997528076,
"eval_runtime": 204.7174,
"eval_samples_per_second": 30.647,
"eval_steps_per_second": 3.835,
"step": 1100
},
{
"epoch": 0.87,
"learning_rate": 0.0002,
"loss": 2.338,
"step": 1200
},
{
"epoch": 0.87,
"eval_loss": 2.348148822784424,
"eval_runtime": 204.9159,
"eval_samples_per_second": 30.617,
"eval_steps_per_second": 3.831,
"step": 1200
},
{
"epoch": 0.95,
"learning_rate": 0.0002,
"loss": 2.3495,
"step": 1300
},
{
"epoch": 0.95,
"eval_loss": 2.331716775894165,
"eval_runtime": 204.6122,
"eval_samples_per_second": 30.663,
"eval_steps_per_second": 3.837,
"step": 1300
},
{
"epoch": 1.02,
"learning_rate": 0.0002,
"loss": 2.3005,
"step": 1400
},
{
"epoch": 1.02,
"eval_loss": 2.3074026107788086,
"eval_runtime": 204.9029,
"eval_samples_per_second": 30.619,
"eval_steps_per_second": 3.831,
"step": 1400
},
{
"epoch": 1.09,
"learning_rate": 0.0002,
"loss": 2.2609,
"step": 1500
},
{
"epoch": 1.09,
"eval_loss": 2.2931342124938965,
"eval_runtime": 205.4253,
"eval_samples_per_second": 30.542,
"eval_steps_per_second": 3.821,
"step": 1500
},
{
"epoch": 1.17,
"learning_rate": 0.0002,
"loss": 2.2532,
"step": 1600
},
{
"epoch": 1.17,
"eval_loss": 2.2731645107269287,
"eval_runtime": 205.0407,
"eval_samples_per_second": 30.599,
"eval_steps_per_second": 3.829,
"step": 1600
},
{
"epoch": 1.24,
"learning_rate": 0.0002,
"loss": 2.2527,
"step": 1700
},
{
"epoch": 1.24,
"eval_loss": 2.25679087638855,
"eval_runtime": 205.2907,
"eval_samples_per_second": 30.562,
"eval_steps_per_second": 3.824,
"step": 1700
},
{
"epoch": 1.31,
"learning_rate": 0.0002,
"loss": 2.2141,
"step": 1800
},
{
"epoch": 1.31,
"eval_loss": 2.2405381202697754,
"eval_runtime": 205.0141,
"eval_samples_per_second": 30.603,
"eval_steps_per_second": 3.829,
"step": 1800
},
{
"epoch": 1.38,
"learning_rate": 0.0002,
"loss": 2.2,
"step": 1900
},
{
"epoch": 1.38,
"eval_loss": 2.2261803150177,
"eval_runtime": 205.38,
"eval_samples_per_second": 30.548,
"eval_steps_per_second": 3.822,
"step": 1900
},
{
"epoch": 1.46,
"learning_rate": 0.0002,
"loss": 2.1926,
"step": 2000
},
{
"epoch": 1.46,
"eval_loss": 2.211982011795044,
"eval_runtime": 205.3797,
"eval_samples_per_second": 30.548,
"eval_steps_per_second": 3.822,
"step": 2000
},
{
"epoch": 1.53,
"learning_rate": 0.0002,
"loss": 2.177,
"step": 2100
},
{
"epoch": 1.53,
"eval_loss": 2.1988422870635986,
"eval_runtime": 205.5358,
"eval_samples_per_second": 30.525,
"eval_steps_per_second": 3.819,
"step": 2100
},
{
"epoch": 1.6,
"learning_rate": 0.0002,
"loss": 2.1604,
"step": 2200
},
{
"epoch": 1.6,
"eval_loss": 2.1834826469421387,
"eval_runtime": 205.7043,
"eval_samples_per_second": 30.5,
"eval_steps_per_second": 3.816,
"step": 2200
},
{
"epoch": 1.68,
"learning_rate": 0.0002,
"loss": 2.1481,
"step": 2300
},
{
"epoch": 1.68,
"eval_loss": 2.1711061000823975,
"eval_runtime": 205.9233,
"eval_samples_per_second": 30.468,
"eval_steps_per_second": 3.812,
"step": 2300
},
{
"epoch": 1.75,
"learning_rate": 0.0002,
"loss": 2.1557,
"step": 2400
},
{
"epoch": 1.75,
"eval_loss": 2.1574361324310303,
"eval_runtime": 205.5846,
"eval_samples_per_second": 30.518,
"eval_steps_per_second": 3.818,
"step": 2400
},
{
"epoch": 1.82,
"learning_rate": 0.0002,
"loss": 2.1231,
"step": 2500
},
{
"epoch": 1.82,
"eval_loss": 2.1463205814361572,
"eval_runtime": 205.712,
"eval_samples_per_second": 30.499,
"eval_steps_per_second": 3.816,
"step": 2500
},
{
"epoch": 1.89,
"learning_rate": 0.0002,
"loss": 2.1232,
"step": 2600
},
{
"epoch": 1.89,
"eval_loss": 2.1318325996398926,
"eval_runtime": 205.4314,
"eval_samples_per_second": 30.541,
"eval_steps_per_second": 3.821,
"step": 2600
},
{
"epoch": 1.97,
"learning_rate": 0.0002,
"loss": 2.1077,
"step": 2700
},
{
"epoch": 1.97,
"eval_loss": 2.1178267002105713,
"eval_runtime": 205.6052,
"eval_samples_per_second": 30.515,
"eval_steps_per_second": 3.818,
"step": 2700
},
{
"epoch": 2.04,
"learning_rate": 0.0002,
"loss": 2.064,
"step": 2800
},
{
"epoch": 2.04,
"eval_loss": 2.110224485397339,
"eval_runtime": 206.36,
"eval_samples_per_second": 30.403,
"eval_steps_per_second": 3.804,
"step": 2800
},
{
"epoch": 2.11,
"learning_rate": 0.0002,
"loss": 2.037,
"step": 2900
},
{
"epoch": 2.11,
"eval_loss": 2.0975825786590576,
"eval_runtime": 206.0587,
"eval_samples_per_second": 30.448,
"eval_steps_per_second": 3.81,
"step": 2900
},
{
"epoch": 2.19,
"learning_rate": 0.0002,
"loss": 2.0582,
"step": 3000
},
{
"epoch": 2.19,
"eval_loss": 2.089369297027588,
"eval_runtime": 206.2047,
"eval_samples_per_second": 30.426,
"eval_steps_per_second": 3.807,
"step": 3000
},
{
"epoch": 2.26,
"learning_rate": 0.0002,
"loss": 2.0245,
"step": 3100
},
{
"epoch": 2.26,
"eval_loss": 2.076017379760742,
"eval_runtime": 206.0223,
"eval_samples_per_second": 30.453,
"eval_steps_per_second": 3.81,
"step": 3100
},
{
"epoch": 2.33,
"learning_rate": 0.0002,
"loss": 2.0405,
"step": 3200
},
{
"epoch": 2.33,
"eval_loss": 2.0672309398651123,
"eval_runtime": 206.3429,
"eval_samples_per_second": 30.406,
"eval_steps_per_second": 3.804,
"step": 3200
},
{
"epoch": 2.4,
"learning_rate": 0.0002,
"loss": 2.0093,
"step": 3300
},
{
"epoch": 2.4,
"eval_loss": 2.05438232421875,
"eval_runtime": 205.9025,
"eval_samples_per_second": 30.471,
"eval_steps_per_second": 3.812,
"step": 3300
},
{
"epoch": 2.48,
"learning_rate": 0.0002,
"loss": 2.0032,
"step": 3400
},
{
"epoch": 2.48,
"eval_loss": 2.0523083209991455,
"eval_runtime": 205.5591,
"eval_samples_per_second": 30.522,
"eval_steps_per_second": 3.819,
"step": 3400
},
{
"epoch": 2.55,
"learning_rate": 0.0002,
"loss": 2.001,
"step": 3500
},
{
"epoch": 2.55,
"eval_loss": 2.0382425785064697,
"eval_runtime": 205.9189,
"eval_samples_per_second": 30.468,
"eval_steps_per_second": 3.812,
"step": 3500
},
{
"epoch": 2.62,
"learning_rate": 0.0002,
"loss": 1.9958,
"step": 3600
},
{
"epoch": 2.62,
"eval_loss": 2.029693365097046,
"eval_runtime": 205.9884,
"eval_samples_per_second": 30.458,
"eval_steps_per_second": 3.811,
"step": 3600
},
{
"epoch": 2.7,
"learning_rate": 0.0002,
"loss": 1.9759,
"step": 3700
},
{
"epoch": 2.7,
"eval_loss": 2.0174672603607178,
"eval_runtime": 206.1463,
"eval_samples_per_second": 30.435,
"eval_steps_per_second": 3.808,
"step": 3700
},
{
"epoch": 2.77,
"learning_rate": 0.0002,
"loss": 1.9684,
"step": 3800
},
{
"epoch": 2.77,
"eval_loss": 2.0112404823303223,
"eval_runtime": 205.7298,
"eval_samples_per_second": 30.496,
"eval_steps_per_second": 3.816,
"step": 3800
},
{
"epoch": 2.84,
"learning_rate": 0.0002,
"loss": 1.9544,
"step": 3900
},
{
"epoch": 2.84,
"eval_loss": 1.9985524415969849,
"eval_runtime": 205.5555,
"eval_samples_per_second": 30.522,
"eval_steps_per_second": 3.819,
"step": 3900
},
{
"epoch": 2.91,
"learning_rate": 0.0002,
"loss": 1.9554,
"step": 4000
},
{
"epoch": 2.91,
"eval_loss": 1.991615891456604,
"eval_runtime": 206.0675,
"eval_samples_per_second": 30.446,
"eval_steps_per_second": 3.809,
"step": 4000
},
{
"epoch": 2.99,
"learning_rate": 0.0002,
"loss": 1.9572,
"step": 4100
},
{
"epoch": 2.99,
"eval_loss": 1.9813369512557983,
"eval_runtime": 206.2632,
"eval_samples_per_second": 30.417,
"eval_steps_per_second": 3.806,
"step": 4100
}
],
"logging_steps": 100,
"max_steps": 4116,
"num_train_epochs": 3,
"save_steps": 100,
"total_flos": 1.1959366338920448e+17,
"trial_name": null,
"trial_params": null
}