tmnam20's picture
Training in progress, step 26000, checkpoint
4c78a72
raw
history blame
No virus
10.2 kB
{
"best_metric": 1.0561795234680176,
"best_model_checkpoint": "/kaggle/output/checkpoint-25000",
"epoch": 1.0593220338983051,
"eval_steps": 1000,
"global_step": 26000,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.0,
"learning_rate": 2.7777777777777777e-11,
"loss": 1.05,
"step": 1
},
{
"epoch": 0.04,
"learning_rate": 2.7750000000000004e-08,
"loss": 1.1403,
"step": 1000
},
{
"epoch": 0.04,
"eval_accuracy": 0.33712574850299404,
"eval_loss": 1.1030837297439575,
"eval_runtime": 29.7882,
"eval_samples_per_second": 168.187,
"eval_steps_per_second": 21.049,
"step": 1000
},
{
"epoch": 0.08,
"learning_rate": 5.5527777777777784e-08,
"loss": 1.1194,
"step": 2000
},
{
"epoch": 0.08,
"eval_accuracy": 0.34331337325349304,
"eval_loss": 1.1002165079116821,
"eval_runtime": 29.8685,
"eval_samples_per_second": 167.735,
"eval_steps_per_second": 20.992,
"step": 2000
},
{
"epoch": 0.12,
"learning_rate": 8.327777777777778e-08,
"loss": 1.1194,
"step": 3000
},
{
"epoch": 0.12,
"eval_accuracy": 0.3471057884231537,
"eval_loss": 1.101266622543335,
"eval_runtime": 29.709,
"eval_samples_per_second": 168.636,
"eval_steps_per_second": 21.105,
"step": 3000
},
{
"epoch": 0.16,
"learning_rate": 1.1105555555555557e-07,
"loss": 1.1166,
"step": 4000
},
{
"epoch": 0.16,
"eval_accuracy": 0.34311377245508984,
"eval_loss": 1.0984796285629272,
"eval_runtime": 29.9401,
"eval_samples_per_second": 167.334,
"eval_steps_per_second": 20.942,
"step": 4000
},
{
"epoch": 0.2,
"learning_rate": 1.3883333333333335e-07,
"loss": 1.1137,
"step": 5000
},
{
"epoch": 0.2,
"eval_accuracy": 0.3403193612774451,
"eval_loss": 1.0974279642105103,
"eval_runtime": 29.8185,
"eval_samples_per_second": 168.016,
"eval_steps_per_second": 21.027,
"step": 5000
},
{
"epoch": 0.24,
"learning_rate": 1.6658333333333335e-07,
"loss": 1.1109,
"step": 6000
},
{
"epoch": 0.24,
"eval_accuracy": 0.3592814371257485,
"eval_loss": 1.0984892845153809,
"eval_runtime": 29.893,
"eval_samples_per_second": 167.598,
"eval_steps_per_second": 20.975,
"step": 6000
},
{
"epoch": 0.29,
"learning_rate": 1.9436111111111112e-07,
"loss": 1.1122,
"step": 7000
},
{
"epoch": 0.29,
"eval_accuracy": 0.36327345309381237,
"eval_loss": 1.0960686206817627,
"eval_runtime": 29.8315,
"eval_samples_per_second": 167.943,
"eval_steps_per_second": 21.018,
"step": 7000
},
{
"epoch": 0.33,
"learning_rate": 2.2213888888888891e-07,
"loss": 1.1091,
"step": 8000
},
{
"epoch": 0.33,
"eval_accuracy": 0.35728542914171657,
"eval_loss": 1.0958523750305176,
"eval_runtime": 29.9494,
"eval_samples_per_second": 167.282,
"eval_steps_per_second": 20.935,
"step": 8000
},
{
"epoch": 0.37,
"learning_rate": 2.4988888888888893e-07,
"loss": 1.1077,
"step": 9000
},
{
"epoch": 0.37,
"eval_accuracy": 0.35528942115768464,
"eval_loss": 1.1003851890563965,
"eval_runtime": 29.9762,
"eval_samples_per_second": 167.133,
"eval_steps_per_second": 20.917,
"step": 9000
},
{
"epoch": 0.41,
"learning_rate": 2.776666666666667e-07,
"loss": 1.1091,
"step": 10000
},
{
"epoch": 0.41,
"eval_accuracy": 0.3790419161676647,
"eval_loss": 1.0951762199401855,
"eval_runtime": 29.8593,
"eval_samples_per_second": 167.787,
"eval_steps_per_second": 20.998,
"step": 10000
},
{
"epoch": 0.45,
"learning_rate": 3.0541666666666667e-07,
"loss": 1.1047,
"step": 11000
},
{
"epoch": 0.45,
"eval_accuracy": 0.3780439121756487,
"eval_loss": 1.0928910970687866,
"eval_runtime": 29.8768,
"eval_samples_per_second": 167.689,
"eval_steps_per_second": 20.986,
"step": 11000
},
{
"epoch": 0.49,
"learning_rate": 3.3319444444444444e-07,
"loss": 1.1053,
"step": 12000
},
{
"epoch": 0.49,
"eval_accuracy": 0.38323353293413176,
"eval_loss": 1.0910215377807617,
"eval_runtime": 29.8703,
"eval_samples_per_second": 167.725,
"eval_steps_per_second": 20.991,
"step": 12000
},
{
"epoch": 0.53,
"learning_rate": 3.6094444444444446e-07,
"loss": 1.1035,
"step": 13000
},
{
"epoch": 0.53,
"eval_accuracy": 0.34850299401197604,
"eval_loss": 1.0930161476135254,
"eval_runtime": 29.8865,
"eval_samples_per_second": 167.634,
"eval_steps_per_second": 20.979,
"step": 13000
},
{
"epoch": 0.57,
"learning_rate": 3.8872222222222223e-07,
"loss": 1.1002,
"step": 14000
},
{
"epoch": 0.57,
"eval_accuracy": 0.3646706586826347,
"eval_loss": 1.093497633934021,
"eval_runtime": 30.0222,
"eval_samples_per_second": 166.877,
"eval_steps_per_second": 20.885,
"step": 14000
},
{
"epoch": 0.61,
"learning_rate": 4.1647222222222225e-07,
"loss": 1.1025,
"step": 15000
},
{
"epoch": 0.61,
"eval_accuracy": 0.37924151696606784,
"eval_loss": 1.0900779962539673,
"eval_runtime": 30.0049,
"eval_samples_per_second": 166.973,
"eval_steps_per_second": 20.897,
"step": 15000
},
{
"epoch": 0.65,
"learning_rate": 4.4425e-07,
"loss": 1.0992,
"step": 16000
},
{
"epoch": 0.65,
"eval_accuracy": 0.40119760479041916,
"eval_loss": 1.0855979919433594,
"eval_runtime": 30.1095,
"eval_samples_per_second": 166.393,
"eval_steps_per_second": 20.824,
"step": 16000
},
{
"epoch": 0.69,
"learning_rate": 4.7200000000000004e-07,
"loss": 1.0965,
"step": 17000
},
{
"epoch": 0.69,
"eval_accuracy": 0.4171656686626746,
"eval_loss": 1.0845381021499634,
"eval_runtime": 30.0586,
"eval_samples_per_second": 166.674,
"eval_steps_per_second": 20.859,
"step": 17000
},
{
"epoch": 0.73,
"learning_rate": 4.997777777777779e-07,
"loss": 1.0962,
"step": 18000
},
{
"epoch": 0.73,
"eval_accuracy": 0.4087824351297405,
"eval_loss": 1.0860552787780762,
"eval_runtime": 30.2343,
"eval_samples_per_second": 165.706,
"eval_steps_per_second": 20.738,
"step": 18000
},
{
"epoch": 0.77,
"learning_rate": 5.275277777777778e-07,
"loss": 1.0936,
"step": 19000
},
{
"epoch": 0.77,
"eval_accuracy": 0.4039920159680639,
"eval_loss": 1.0822259187698364,
"eval_runtime": 30.216,
"eval_samples_per_second": 165.806,
"eval_steps_per_second": 20.751,
"step": 19000
},
{
"epoch": 0.81,
"learning_rate": 5.553055555555556e-07,
"loss": 1.0923,
"step": 20000
},
{
"epoch": 0.81,
"eval_accuracy": 0.4095808383233533,
"eval_loss": 1.0820951461791992,
"eval_runtime": 29.968,
"eval_samples_per_second": 167.178,
"eval_steps_per_second": 20.922,
"step": 20000
},
{
"epoch": 0.86,
"learning_rate": 5.830555555555556e-07,
"loss": 1.0897,
"step": 21000
},
{
"epoch": 0.86,
"eval_accuracy": 0.4149700598802395,
"eval_loss": 1.0763800144195557,
"eval_runtime": 30.021,
"eval_samples_per_second": 166.883,
"eval_steps_per_second": 20.885,
"step": 21000
},
{
"epoch": 0.9,
"learning_rate": 6.108333333333333e-07,
"loss": 1.0888,
"step": 22000
},
{
"epoch": 0.9,
"eval_accuracy": 0.43193612774451096,
"eval_loss": 1.0687414407730103,
"eval_runtime": 30.1577,
"eval_samples_per_second": 166.127,
"eval_steps_per_second": 20.791,
"step": 22000
},
{
"epoch": 0.94,
"learning_rate": 6.385833333333334e-07,
"loss": 1.0823,
"step": 23000
},
{
"epoch": 0.94,
"eval_accuracy": 0.4285429141716567,
"eval_loss": 1.0642070770263672,
"eval_runtime": 30.0701,
"eval_samples_per_second": 166.611,
"eval_steps_per_second": 20.851,
"step": 23000
},
{
"epoch": 0.98,
"learning_rate": 6.663611111111112e-07,
"loss": 1.0786,
"step": 24000
},
{
"epoch": 0.98,
"eval_accuracy": 0.4363273453093812,
"eval_loss": 1.0598841905593872,
"eval_runtime": 30.0689,
"eval_samples_per_second": 166.617,
"eval_steps_per_second": 20.852,
"step": 24000
},
{
"epoch": 1.02,
"learning_rate": 6.941111111111112e-07,
"loss": 1.0708,
"step": 25000
},
{
"epoch": 1.02,
"eval_accuracy": 0.4429141716566866,
"eval_loss": 1.0561795234680176,
"eval_runtime": 30.1301,
"eval_samples_per_second": 166.279,
"eval_steps_per_second": 20.81,
"step": 25000
},
{
"epoch": 1.06,
"learning_rate": 7.218888888888889e-07,
"loss": 1.072,
"step": 26000
},
{
"epoch": 1.06,
"eval_accuracy": 0.4303393213572854,
"eval_loss": 1.0574887990951538,
"eval_runtime": 30.0473,
"eval_samples_per_second": 166.737,
"eval_steps_per_second": 20.867,
"step": 26000
}
],
"logging_steps": 1000,
"max_steps": 10000000,
"num_train_epochs": 408,
"save_steps": 1000,
"total_flos": 2.717522214440141e+16,
"trial_name": null,
"trial_params": null
}