| { |
| "best_metric": 0.5696164965629578, |
| "best_model_checkpoint": "/kaggle/output/checkpoint-100", |
| "epoch": 1.6528925619834711, |
| "eval_steps": 50, |
| "global_step": 800, |
| "is_hyper_param_search": false, |
| "is_local_process_zero": true, |
| "is_world_process_zero": true, |
| "log_history": [ |
| { |
| "epoch": 0.0, |
| "learning_rate": 0.0, |
| "loss": 0.7246, |
| "step": 1 |
| }, |
| { |
| "epoch": 0.1, |
| "learning_rate": 7.333333333333332e-05, |
| "loss": 0.5982, |
| "step": 50 |
| }, |
| { |
| "epoch": 0.1, |
| "eval_accuracy": 0.75, |
| "eval_loss": 0.6296697854995728, |
| "eval_runtime": 30.5612, |
| "eval_samples_per_second": 38.742, |
| "eval_steps_per_second": 19.371, |
| "step": 50 |
| }, |
| { |
| "epoch": 0.21, |
| "learning_rate": 0.00015, |
| "loss": 0.5505, |
| "step": 100 |
| }, |
| { |
| "epoch": 0.21, |
| "eval_accuracy": 0.75, |
| "eval_loss": 0.5696164965629578, |
| "eval_runtime": 30.5816, |
| "eval_samples_per_second": 38.716, |
| "eval_steps_per_second": 19.358, |
| "step": 100 |
| }, |
| { |
| "epoch": 0.31, |
| "learning_rate": 0.0002333333333333333, |
| "loss": 0.5838, |
| "step": 150 |
| }, |
| { |
| "epoch": 0.31, |
| "eval_accuracy": 0.75, |
| "eval_loss": 0.562861442565918, |
| "eval_runtime": 31.0771, |
| "eval_samples_per_second": 38.099, |
| "eval_steps_per_second": 19.049, |
| "step": 150 |
| }, |
| { |
| "epoch": 0.41, |
| "learning_rate": 0.00025333333333333333, |
| "loss": 0.5925, |
| "step": 200 |
| }, |
| { |
| "epoch": 0.41, |
| "eval_accuracy": 0.75, |
| "eval_loss": 0.5931239724159241, |
| "eval_runtime": 30.6023, |
| "eval_samples_per_second": 38.69, |
| "eval_steps_per_second": 19.345, |
| "step": 200 |
| }, |
| { |
| "epoch": 0.52, |
| "learning_rate": 0.00025333333333333333, |
| "loss": 0.7003, |
| "step": 250 |
| }, |
| { |
| "epoch": 0.52, |
| "eval_accuracy": 0.75, |
| "eval_loss": 0.5931239724159241, |
| "eval_runtime": 30.7477, |
| "eval_samples_per_second": 38.507, |
| "eval_steps_per_second": 19.253, |
| "step": 250 |
| }, |
| { |
| "epoch": 0.62, |
| "learning_rate": 0.00025333333333333333, |
| "loss": 0.606, |
| "step": 300 |
| }, |
| { |
| "epoch": 0.62, |
| "eval_accuracy": 0.75, |
| "eval_loss": 0.5931239724159241, |
| "eval_runtime": 30.6306, |
| "eval_samples_per_second": 38.654, |
| "eval_steps_per_second": 19.327, |
| "step": 300 |
| }, |
| { |
| "epoch": 0.72, |
| "learning_rate": 0.0002985365853658536, |
| "loss": 0.6744, |
| "step": 350 |
| }, |
| { |
| "epoch": 0.72, |
| "eval_accuracy": 0.75, |
| "eval_loss": 0.5931239724159241, |
| "eval_runtime": 30.5975, |
| "eval_samples_per_second": 38.696, |
| "eval_steps_per_second": 19.348, |
| "step": 350 |
| }, |
| { |
| "epoch": 0.83, |
| "learning_rate": 0.0002802439024390244, |
| "loss": 0.6448, |
| "step": 400 |
| }, |
| { |
| "epoch": 0.83, |
| "eval_accuracy": 0.75, |
| "eval_loss": 0.5931239724159241, |
| "eval_runtime": 30.6461, |
| "eval_samples_per_second": 38.635, |
| "eval_steps_per_second": 19.317, |
| "step": 400 |
| }, |
| { |
| "epoch": 0.93, |
| "learning_rate": 0.0002619512195121951, |
| "loss": 0.7365, |
| "step": 450 |
| }, |
| { |
| "epoch": 0.93, |
| "eval_accuracy": 0.75, |
| "eval_loss": 0.5931239724159241, |
| "eval_runtime": 30.713, |
| "eval_samples_per_second": 38.55, |
| "eval_steps_per_second": 19.275, |
| "step": 450 |
| }, |
| { |
| "epoch": 1.03, |
| "learning_rate": 0.00024365853658536585, |
| "loss": 0.6083, |
| "step": 500 |
| }, |
| { |
| "epoch": 1.03, |
| "eval_accuracy": 0.75, |
| "eval_loss": 0.5931239724159241, |
| "eval_runtime": 30.6783, |
| "eval_samples_per_second": 38.594, |
| "eval_steps_per_second": 19.297, |
| "step": 500 |
| }, |
| { |
| "epoch": 1.14, |
| "learning_rate": 0.00022536585365853657, |
| "loss": 0.6217, |
| "step": 550 |
| }, |
| { |
| "epoch": 1.14, |
| "eval_accuracy": 0.75, |
| "eval_loss": 0.5931239724159241, |
| "eval_runtime": 30.5897, |
| "eval_samples_per_second": 38.706, |
| "eval_steps_per_second": 19.353, |
| "step": 550 |
| }, |
| { |
| "epoch": 1.24, |
| "learning_rate": 0.00020707317073170728, |
| "loss": 0.642, |
| "step": 600 |
| }, |
| { |
| "epoch": 1.24, |
| "eval_accuracy": 0.75, |
| "eval_loss": 0.5931239724159241, |
| "eval_runtime": 30.6541, |
| "eval_samples_per_second": 38.624, |
| "eval_steps_per_second": 19.312, |
| "step": 600 |
| }, |
| { |
| "epoch": 1.34, |
| "learning_rate": 0.00018878048780487803, |
| "loss": 0.6433, |
| "step": 650 |
| }, |
| { |
| "epoch": 1.34, |
| "eval_accuracy": 0.75, |
| "eval_loss": 0.5931239724159241, |
| "eval_runtime": 30.5944, |
| "eval_samples_per_second": 38.7, |
| "eval_steps_per_second": 19.35, |
| "step": 650 |
| }, |
| { |
| "epoch": 1.45, |
| "learning_rate": 0.00017048780487804874, |
| "loss": 0.7497, |
| "step": 700 |
| }, |
| { |
| "epoch": 1.45, |
| "eval_accuracy": 0.75, |
| "eval_loss": 0.5931239724159241, |
| "eval_runtime": 31.0188, |
| "eval_samples_per_second": 38.17, |
| "eval_steps_per_second": 19.085, |
| "step": 700 |
| }, |
| { |
| "epoch": 1.55, |
| "learning_rate": 0.0001521951219512195, |
| "loss": 0.6385, |
| "step": 750 |
| }, |
| { |
| "epoch": 1.55, |
| "eval_accuracy": 0.75, |
| "eval_loss": 0.5931239724159241, |
| "eval_runtime": 30.6101, |
| "eval_samples_per_second": 38.68, |
| "eval_steps_per_second": 19.34, |
| "step": 750 |
| }, |
| { |
| "epoch": 1.65, |
| "learning_rate": 0.00013390243902439023, |
| "loss": 0.6581, |
| "step": 800 |
| }, |
| { |
| "epoch": 1.65, |
| "eval_accuracy": 0.75, |
| "eval_loss": 0.5931239724159241, |
| "eval_runtime": 30.6994, |
| "eval_samples_per_second": 38.568, |
| "eval_steps_per_second": 19.284, |
| "step": 800 |
| } |
| ], |
| "logging_steps": 50, |
| "max_steps": 1000, |
| "num_train_epochs": 3, |
| "save_steps": 100, |
| "total_flos": 2789684993326080.0, |
| "trial_name": null, |
| "trial_params": null |
| } |
|
|