| { |
| "best_metric": 0.9518348623853211, |
| "best_model_checkpoint": "./fp32/models/sst2-roberta-base/checkpoint-18000", |
| "epoch": 9.026128266033254, |
| "global_step": 19000, |
| "is_hyper_param_search": false, |
| "is_local_process_zero": true, |
| "is_world_process_zero": true, |
| "log_history": [ |
| { |
| "epoch": 0.48, |
| "learning_rate": 7.917656373713381e-06, |
| "loss": 0.4065, |
| "step": 1000 |
| }, |
| { |
| "epoch": 0.48, |
| "eval_accuracy": 0.9220183486238532, |
| "eval_loss": 0.2038680613040924, |
| "eval_runtime": 4.1534, |
| "eval_samples_per_second": 209.949, |
| "eval_steps_per_second": 6.741, |
| "step": 1000 |
| }, |
| { |
| "epoch": 0.95, |
| "learning_rate": 9.627533228887655e-06, |
| "loss": 0.2172, |
| "step": 2000 |
| }, |
| { |
| "epoch": 0.95, |
| "eval_accuracy": 0.9323394495412844, |
| "eval_loss": 0.19802363216876984, |
| "eval_runtime": 5.7226, |
| "eval_samples_per_second": 152.378, |
| "eval_steps_per_second": 4.893, |
| "step": 2000 |
| }, |
| { |
| "epoch": 1.43, |
| "learning_rate": 9.122150907161269e-06, |
| "loss": 0.1695, |
| "step": 3000 |
| }, |
| { |
| "epoch": 1.43, |
| "eval_accuracy": 0.9426605504587156, |
| "eval_loss": 0.19059622287750244, |
| "eval_runtime": 6.285, |
| "eval_samples_per_second": 138.743, |
| "eval_steps_per_second": 4.455, |
| "step": 3000 |
| }, |
| { |
| "epoch": 1.9, |
| "learning_rate": 8.616768585434883e-06, |
| "loss": 0.1624, |
| "step": 4000 |
| }, |
| { |
| "epoch": 1.9, |
| "eval_accuracy": 0.9403669724770642, |
| "eval_loss": 0.21938160061836243, |
| "eval_runtime": 5.6855, |
| "eval_samples_per_second": 153.373, |
| "eval_steps_per_second": 4.925, |
| "step": 4000 |
| }, |
| { |
| "epoch": 2.38, |
| "learning_rate": 8.111386263708495e-06, |
| "loss": 0.1308, |
| "step": 5000 |
| }, |
| { |
| "epoch": 2.38, |
| "eval_accuracy": 0.9243119266055045, |
| "eval_loss": 0.2738950848579407, |
| "eval_runtime": 5.7111, |
| "eval_samples_per_second": 152.686, |
| "eval_steps_per_second": 4.903, |
| "step": 5000 |
| }, |
| { |
| "epoch": 2.85, |
| "learning_rate": 7.60600394198211e-06, |
| "loss": 0.1305, |
| "step": 6000 |
| }, |
| { |
| "epoch": 2.85, |
| "eval_accuracy": 0.9415137614678899, |
| "eval_loss": 0.2265118807554245, |
| "eval_runtime": 6.4711, |
| "eval_samples_per_second": 134.753, |
| "eval_steps_per_second": 4.327, |
| "step": 6000 |
| }, |
| { |
| "epoch": 3.33, |
| "learning_rate": 7.100621620255725e-06, |
| "loss": 0.1046, |
| "step": 7000 |
| }, |
| { |
| "epoch": 3.33, |
| "eval_accuracy": 0.9438073394495413, |
| "eval_loss": 0.22793179750442505, |
| "eval_runtime": 5.0992, |
| "eval_samples_per_second": 171.007, |
| "eval_steps_per_second": 5.491, |
| "step": 7000 |
| }, |
| { |
| "epoch": 3.8, |
| "learning_rate": 6.595239298529338e-06, |
| "loss": 0.1076, |
| "step": 8000 |
| }, |
| { |
| "epoch": 3.8, |
| "eval_accuracy": 0.9392201834862385, |
| "eval_loss": 0.2734154760837555, |
| "eval_runtime": 6.5088, |
| "eval_samples_per_second": 133.973, |
| "eval_steps_per_second": 4.302, |
| "step": 8000 |
| }, |
| { |
| "epoch": 4.28, |
| "learning_rate": 6.089856976802951e-06, |
| "loss": 0.0974, |
| "step": 9000 |
| }, |
| { |
| "epoch": 4.28, |
| "eval_accuracy": 0.9415137614678899, |
| "eval_loss": 0.29046502709388733, |
| "eval_runtime": 5.7978, |
| "eval_samples_per_second": 150.403, |
| "eval_steps_per_second": 4.829, |
| "step": 9000 |
| }, |
| { |
| "epoch": 4.75, |
| "learning_rate": 5.584474655076566e-06, |
| "loss": 0.092, |
| "step": 10000 |
| }, |
| { |
| "epoch": 4.75, |
| "eval_accuracy": 0.948394495412844, |
| "eval_loss": 0.22252324223518372, |
| "eval_runtime": 6.2131, |
| "eval_samples_per_second": 140.348, |
| "eval_steps_per_second": 4.507, |
| "step": 10000 |
| }, |
| { |
| "epoch": 5.23, |
| "learning_rate": 5.07909233335018e-06, |
| "loss": 0.0836, |
| "step": 11000 |
| }, |
| { |
| "epoch": 5.23, |
| "eval_accuracy": 0.9461009174311926, |
| "eval_loss": 0.2741754353046417, |
| "eval_runtime": 5.948, |
| "eval_samples_per_second": 146.605, |
| "eval_steps_per_second": 4.708, |
| "step": 11000 |
| }, |
| { |
| "epoch": 5.7, |
| "learning_rate": 4.573710011623794e-06, |
| "loss": 0.0802, |
| "step": 12000 |
| }, |
| { |
| "epoch": 5.7, |
| "eval_accuracy": 0.9472477064220184, |
| "eval_loss": 0.2603645324707031, |
| "eval_runtime": 5.8251, |
| "eval_samples_per_second": 149.696, |
| "eval_steps_per_second": 4.807, |
| "step": 12000 |
| }, |
| { |
| "epoch": 6.18, |
| "learning_rate": 4.068327689897408e-06, |
| "loss": 0.0702, |
| "step": 13000 |
| }, |
| { |
| "epoch": 6.18, |
| "eval_accuracy": 0.9461009174311926, |
| "eval_loss": 0.3199061155319214, |
| "eval_runtime": 5.8055, |
| "eval_samples_per_second": 150.202, |
| "eval_steps_per_second": 4.823, |
| "step": 13000 |
| }, |
| { |
| "epoch": 6.65, |
| "learning_rate": 3.562945368171022e-06, |
| "loss": 0.0673, |
| "step": 14000 |
| }, |
| { |
| "epoch": 6.65, |
| "eval_accuracy": 0.9438073394495413, |
| "eval_loss": 0.29321831464767456, |
| "eval_runtime": 5.6513, |
| "eval_samples_per_second": 154.302, |
| "eval_steps_per_second": 4.955, |
| "step": 14000 |
| }, |
| { |
| "epoch": 7.13, |
| "learning_rate": 3.0575630464446353e-06, |
| "loss": 0.0683, |
| "step": 15000 |
| }, |
| { |
| "epoch": 7.13, |
| "eval_accuracy": 0.9506880733944955, |
| "eval_loss": 0.28904497623443604, |
| "eval_runtime": 5.7574, |
| "eval_samples_per_second": 151.459, |
| "eval_steps_per_second": 4.863, |
| "step": 15000 |
| }, |
| { |
| "epoch": 7.6, |
| "learning_rate": 2.5521807247182495e-06, |
| "loss": 0.0608, |
| "step": 16000 |
| }, |
| { |
| "epoch": 7.6, |
| "eval_accuracy": 0.948394495412844, |
| "eval_loss": 0.3019457757472992, |
| "eval_runtime": 6.5808, |
| "eval_samples_per_second": 132.506, |
| "eval_steps_per_second": 4.255, |
| "step": 16000 |
| }, |
| { |
| "epoch": 8.08, |
| "learning_rate": 2.0467984029918637e-06, |
| "loss": 0.0553, |
| "step": 17000 |
| }, |
| { |
| "epoch": 8.08, |
| "eval_accuracy": 0.9426605504587156, |
| "eval_loss": 0.33538028597831726, |
| "eval_runtime": 5.9627, |
| "eval_samples_per_second": 146.243, |
| "eval_steps_per_second": 4.696, |
| "step": 17000 |
| }, |
| { |
| "epoch": 8.55, |
| "learning_rate": 1.5414160812654775e-06, |
| "loss": 0.0494, |
| "step": 18000 |
| }, |
| { |
| "epoch": 8.55, |
| "eval_accuracy": 0.9518348623853211, |
| "eval_loss": 0.3174615502357483, |
| "eval_runtime": 9.642, |
| "eval_samples_per_second": 90.438, |
| "eval_steps_per_second": 2.904, |
| "step": 18000 |
| }, |
| { |
| "epoch": 9.03, |
| "learning_rate": 1.0360337595390914e-06, |
| "loss": 0.0507, |
| "step": 19000 |
| }, |
| { |
| "epoch": 9.03, |
| "eval_accuracy": 0.9518348623853211, |
| "eval_loss": 0.3315552771091461, |
| "eval_runtime": 5.8184, |
| "eval_samples_per_second": 149.869, |
| "eval_steps_per_second": 4.812, |
| "step": 19000 |
| } |
| ], |
| "max_steps": 21050, |
| "num_train_epochs": 10, |
| "total_flos": 3.998636841609984e+16, |
| "trial_name": null, |
| "trial_params": null |
| } |
|
|