ambrim's picture
Upload 10 files
a68615c
{
"best_metric": 0.9404261658430337,
"best_model_checkpoint": "finetuned-epitope_attempt7_150M_200k_default_accuracy-finetuned-epitope_attempt7_150M_200k_weighted_accuracy_1.5/checkpoint-1716",
"epoch": 10.0,
"eval_steps": 500,
"global_step": 17160,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.29,
"learning_rate": 9.708624708624709e-05,
"loss": -991.1524,
"step": 500
},
{
"epoch": 0.58,
"learning_rate": 9.417249417249418e-05,
"loss": -2627.8292,
"step": 1000
},
{
"epoch": 0.87,
"learning_rate": 9.125874125874126e-05,
"loss": -4819.024,
"step": 1500
},
{
"epoch": 1.0,
"eval_accuracy": 0.9404261658430337,
"eval_loss": -7140.48779296875,
"eval_runtime": 61.4312,
"eval_samples_per_second": 74.474,
"eval_steps_per_second": 3.109,
"step": 1716
},
{
"epoch": 1.17,
"learning_rate": 8.834498834498835e-05,
"loss": -7373.8975,
"step": 2000
},
{
"epoch": 1.46,
"learning_rate": 8.543123543123544e-05,
"loss": -10190.031,
"step": 2500
},
{
"epoch": 1.75,
"learning_rate": 8.251748251748252e-05,
"loss": -13358.039,
"step": 3000
},
{
"epoch": 2.0,
"eval_accuracy": 0.9404261658430337,
"eval_loss": -18116.330078125,
"eval_runtime": 61.6525,
"eval_samples_per_second": 74.206,
"eval_steps_per_second": 3.098,
"step": 3432
},
{
"epoch": 2.04,
"learning_rate": 7.960372960372961e-05,
"loss": -16816.902,
"step": 3500
},
{
"epoch": 2.33,
"learning_rate": 7.66899766899767e-05,
"loss": -20556.736,
"step": 4000
},
{
"epoch": 2.62,
"learning_rate": 7.377622377622378e-05,
"loss": -24214.914,
"step": 4500
},
{
"epoch": 2.91,
"learning_rate": 7.086247086247087e-05,
"loss": -28116.02,
"step": 5000
},
{
"epoch": 3.0,
"eval_accuracy": 0.9404261658430337,
"eval_loss": -31477.326171875,
"eval_runtime": 61.4757,
"eval_samples_per_second": 74.42,
"eval_steps_per_second": 3.107,
"step": 5148
},
{
"epoch": 3.21,
"learning_rate": 6.794871794871795e-05,
"loss": -32552.834,
"step": 5500
},
{
"epoch": 3.5,
"learning_rate": 6.503496503496504e-05,
"loss": -36651.288,
"step": 6000
},
{
"epoch": 3.79,
"learning_rate": 6.212121212121213e-05,
"loss": -40514.324,
"step": 6500
},
{
"epoch": 4.0,
"eval_accuracy": 0.9404261658430337,
"eval_loss": -45798.8046875,
"eval_runtime": 61.7173,
"eval_samples_per_second": 74.128,
"eval_steps_per_second": 3.095,
"step": 6864
},
{
"epoch": 4.08,
"learning_rate": 5.920745920745921e-05,
"loss": -44842.148,
"step": 7000
},
{
"epoch": 4.37,
"learning_rate": 5.629370629370629e-05,
"loss": -49187.524,
"step": 7500
},
{
"epoch": 4.66,
"learning_rate": 5.3379953379953385e-05,
"loss": -53412.06,
"step": 8000
},
{
"epoch": 4.95,
"learning_rate": 5.0466200466200464e-05,
"loss": -57251.756,
"step": 8500
},
{
"epoch": 5.0,
"eval_accuracy": 0.9404261658430337,
"eval_loss": -59889.9140625,
"eval_runtime": 61.4135,
"eval_samples_per_second": 74.495,
"eval_steps_per_second": 3.11,
"step": 8580
},
{
"epoch": 5.24,
"learning_rate": 4.755244755244756e-05,
"loss": -60731.896,
"step": 9000
},
{
"epoch": 5.54,
"learning_rate": 4.463869463869464e-05,
"loss": -65162.9,
"step": 9500
},
{
"epoch": 5.83,
"learning_rate": 4.172494172494173e-05,
"loss": -69186.816,
"step": 10000
},
{
"epoch": 6.0,
"eval_accuracy": 0.9404261658430337,
"eval_loss": -72761.71875,
"eval_runtime": 61.5973,
"eval_samples_per_second": 74.273,
"eval_steps_per_second": 3.101,
"step": 10296
},
{
"epoch": 6.12,
"learning_rate": 3.8811188811188816e-05,
"loss": -72763.624,
"step": 10500
},
{
"epoch": 6.41,
"learning_rate": 3.58974358974359e-05,
"loss": -76222.128,
"step": 11000
},
{
"epoch": 6.7,
"learning_rate": 3.298368298368298e-05,
"loss": -78716.456,
"step": 11500
},
{
"epoch": 6.99,
"learning_rate": 3.0069930069930068e-05,
"loss": -82078.184,
"step": 12000
},
{
"epoch": 7.0,
"eval_accuracy": 0.9404261658430337,
"eval_loss": -83606.6171875,
"eval_runtime": 61.5161,
"eval_samples_per_second": 74.371,
"eval_steps_per_second": 3.105,
"step": 12012
},
{
"epoch": 7.28,
"learning_rate": 2.715617715617716e-05,
"loss": -84137.776,
"step": 12500
},
{
"epoch": 7.58,
"learning_rate": 2.4242424242424244e-05,
"loss": -88317.616,
"step": 13000
},
{
"epoch": 7.87,
"learning_rate": 2.132867132867133e-05,
"loss": -90301.752,
"step": 13500
},
{
"epoch": 8.0,
"eval_accuracy": 0.9404261658430337,
"eval_loss": -91807.8203125,
"eval_runtime": 61.5191,
"eval_samples_per_second": 74.367,
"eval_steps_per_second": 3.105,
"step": 13728
},
{
"epoch": 8.16,
"learning_rate": 1.8414918414918416e-05,
"loss": -91880.464,
"step": 14000
},
{
"epoch": 8.45,
"learning_rate": 1.5501165501165503e-05,
"loss": -94262.232,
"step": 14500
},
{
"epoch": 8.74,
"learning_rate": 1.2587412587412589e-05,
"loss": -95277.608,
"step": 15000
},
{
"epoch": 9.0,
"eval_accuracy": 0.9404261658430337,
"eval_loss": -96907.4296875,
"eval_runtime": 61.3968,
"eval_samples_per_second": 74.515,
"eval_steps_per_second": 3.111,
"step": 15444
},
{
"epoch": 9.03,
"learning_rate": 9.673659673659673e-06,
"loss": -97058.592,
"step": 15500
},
{
"epoch": 9.32,
"learning_rate": 6.7599067599067605e-06,
"loss": -97791.208,
"step": 16000
},
{
"epoch": 9.62,
"learning_rate": 3.846153846153847e-06,
"loss": -98873.392,
"step": 16500
},
{
"epoch": 9.91,
"learning_rate": 9.324009324009324e-07,
"loss": -98503.392,
"step": 17000
},
{
"epoch": 10.0,
"eval_accuracy": 0.9404261658430337,
"eval_loss": -98637.3671875,
"eval_runtime": 61.2106,
"eval_samples_per_second": 74.742,
"eval_steps_per_second": 3.12,
"step": 17160
}
],
"logging_steps": 500,
"max_steps": 17160,
"num_train_epochs": 10,
"save_steps": 500,
"total_flos": 3.3502108609523e+17,
"trial_name": null,
"trial_params": null
}