| { |
| "best_global_step": null, |
| "best_metric": null, |
| "best_model_checkpoint": null, |
| "epoch": 3.0, |
| "eval_steps": 1000, |
| "global_step": 17853, |
| "is_hyper_param_search": false, |
| "is_local_process_zero": true, |
| "is_world_process_zero": true, |
| "log_history": [ |
| { |
| "epoch": 0.00016803898504453034, |
| "grad_norm": 6.990426540374756, |
| "learning_rate": 0.0, |
| "loss": 2.5326, |
| "step": 1 |
| }, |
| { |
| "epoch": 0.16803898504453033, |
| "grad_norm": 4.953593730926514, |
| "learning_rate": 4.196597353497165e-06, |
| "loss": 2.6779, |
| "step": 1000 |
| }, |
| { |
| "epoch": 0.16803898504453033, |
| "eval_cosine_accuracy": 0.9457356333732605, |
| "eval_loss": 1.3122717142105103, |
| "eval_runtime": 21.2029, |
| "eval_samples_per_second": 448.476, |
| "eval_steps_per_second": 3.537, |
| "step": 1000 |
| }, |
| { |
| "epoch": 0.33607797008906065, |
| "grad_norm": 5.172318458557129, |
| "learning_rate": 8.397395505145979e-06, |
| "loss": 2.1925, |
| "step": 2000 |
| }, |
| { |
| "epoch": 0.33607797008906065, |
| "eval_cosine_accuracy": 0.951729953289032, |
| "eval_loss": 1.2547080516815186, |
| "eval_runtime": 21.0477, |
| "eval_samples_per_second": 451.783, |
| "eval_steps_per_second": 3.563, |
| "step": 2000 |
| }, |
| { |
| "epoch": 0.504116955133591, |
| "grad_norm": 5.013792514801025, |
| "learning_rate": 1.2598193656794792e-05, |
| "loss": 1.9607, |
| "step": 3000 |
| }, |
| { |
| "epoch": 0.504116955133591, |
| "eval_cosine_accuracy": 0.9543590545654297, |
| "eval_loss": 1.2117713689804077, |
| "eval_runtime": 21.1746, |
| "eval_samples_per_second": 449.076, |
| "eval_steps_per_second": 3.542, |
| "step": 3000 |
| }, |
| { |
| "epoch": 0.6721559401781213, |
| "grad_norm": 5.219577312469482, |
| "learning_rate": 1.6798991808443605e-05, |
| "loss": 1.7977, |
| "step": 4000 |
| }, |
| { |
| "epoch": 0.6721559401781213, |
| "eval_cosine_accuracy": 0.9588810801506042, |
| "eval_loss": 1.1573827266693115, |
| "eval_runtime": 20.9565, |
| "eval_samples_per_second": 453.749, |
| "eval_steps_per_second": 3.579, |
| "step": 4000 |
| }, |
| { |
| "epoch": 0.8401949252226516, |
| "grad_norm": 5.110533714294434, |
| "learning_rate": 1.9751089639237518e-05, |
| "loss": 1.6686, |
| "step": 5000 |
| }, |
| { |
| "epoch": 0.8401949252226516, |
| "eval_cosine_accuracy": 0.9588810801506042, |
| "eval_loss": 1.1438082456588745, |
| "eval_runtime": 20.8496, |
| "eval_samples_per_second": 456.075, |
| "eval_steps_per_second": 3.597, |
| "step": 5000 |
| }, |
| { |
| "epoch": 1.008233910267182, |
| "grad_norm": 4.6514716148376465, |
| "learning_rate": 1.870398571653626e-05, |
| "loss": 1.5091, |
| "step": 6000 |
| }, |
| { |
| "epoch": 1.008233910267182, |
| "eval_cosine_accuracy": 0.9621411561965942, |
| "eval_loss": 1.1130626201629639, |
| "eval_runtime": 22.292, |
| "eval_samples_per_second": 426.566, |
| "eval_steps_per_second": 3.364, |
| "step": 6000 |
| }, |
| { |
| "epoch": 1.1762728953117123, |
| "grad_norm": 5.095766544342041, |
| "learning_rate": 1.765373102977472e-05, |
| "loss": 1.5015, |
| "step": 7000 |
| }, |
| { |
| "epoch": 1.1762728953117123, |
| "eval_cosine_accuracy": 0.9629824161529541, |
| "eval_loss": 1.0990869998931885, |
| "eval_runtime": 20.8764, |
| "eval_samples_per_second": 455.49, |
| "eval_steps_per_second": 3.593, |
| "step": 7000 |
| }, |
| { |
| "epoch": 1.3443118803562426, |
| "grad_norm": 4.731724262237549, |
| "learning_rate": 1.6603476343013184e-05, |
| "loss": 1.4365, |
| "step": 8000 |
| }, |
| { |
| "epoch": 1.3443118803562426, |
| "eval_cosine_accuracy": 0.9641392230987549, |
| "eval_loss": 1.0847463607788086, |
| "eval_runtime": 20.8961, |
| "eval_samples_per_second": 455.06, |
| "eval_steps_per_second": 3.589, |
| "step": 8000 |
| }, |
| { |
| "epoch": 1.512350865400773, |
| "grad_norm": 4.810811519622803, |
| "learning_rate": 1.5553221656251644e-05, |
| "loss": 1.4074, |
| "step": 9000 |
| }, |
| { |
| "epoch": 1.512350865400773, |
| "eval_cosine_accuracy": 0.9646650552749634, |
| "eval_loss": 1.072762131690979, |
| "eval_runtime": 20.8161, |
| "eval_samples_per_second": 456.809, |
| "eval_steps_per_second": 3.603, |
| "step": 9000 |
| }, |
| { |
| "epoch": 1.6803898504453034, |
| "grad_norm": 4.884791374206543, |
| "learning_rate": 1.4502966969490102e-05, |
| "loss": 1.3672, |
| "step": 10000 |
| }, |
| { |
| "epoch": 1.6803898504453034, |
| "eval_cosine_accuracy": 0.9636133909225464, |
| "eval_loss": 1.0661137104034424, |
| "eval_runtime": 21.082, |
| "eval_samples_per_second": 451.049, |
| "eval_steps_per_second": 3.558, |
| "step": 10000 |
| }, |
| { |
| "epoch": 1.8484288354898335, |
| "grad_norm": 5.121285915374756, |
| "learning_rate": 1.3452712282728561e-05, |
| "loss": 1.3327, |
| "step": 11000 |
| }, |
| { |
| "epoch": 1.8484288354898335, |
| "eval_cosine_accuracy": 0.9652960300445557, |
| "eval_loss": 1.0594764947891235, |
| "eval_runtime": 21.5369, |
| "eval_samples_per_second": 441.522, |
| "eval_steps_per_second": 3.482, |
| "step": 11000 |
| }, |
| { |
| "epoch": 2.016467820534364, |
| "grad_norm": 5.241132736206055, |
| "learning_rate": 1.2403507850653784e-05, |
| "loss": 1.2517, |
| "step": 12000 |
| }, |
| { |
| "epoch": 2.016467820534364, |
| "eval_cosine_accuracy": 0.9668734669685364, |
| "eval_loss": 1.0559396743774414, |
| "eval_runtime": 21.0313, |
| "eval_samples_per_second": 452.135, |
| "eval_steps_per_second": 3.566, |
| "step": 12000 |
| }, |
| { |
| "epoch": 2.184506805578894, |
| "grad_norm": 4.983489513397217, |
| "learning_rate": 1.1353253163892244e-05, |
| "loss": 1.267, |
| "step": 13000 |
| }, |
| { |
| "epoch": 2.184506805578894, |
| "eval_cosine_accuracy": 0.965927004814148, |
| "eval_loss": 1.0504363775253296, |
| "eval_runtime": 21.0307, |
| "eval_samples_per_second": 452.149, |
| "eval_steps_per_second": 3.566, |
| "step": 13000 |
| }, |
| { |
| "epoch": 2.3525457906234246, |
| "grad_norm": 5.162084102630615, |
| "learning_rate": 1.0302998477130705e-05, |
| "loss": 1.2527, |
| "step": 14000 |
| }, |
| { |
| "epoch": 2.3525457906234246, |
| "eval_cosine_accuracy": 0.9664528369903564, |
| "eval_loss": 1.0555484294891357, |
| "eval_runtime": 21.0321, |
| "eval_samples_per_second": 452.118, |
| "eval_steps_per_second": 3.566, |
| "step": 14000 |
| }, |
| { |
| "epoch": 2.520584775667955, |
| "grad_norm": 5.536242485046387, |
| "learning_rate": 9.252743790369165e-06, |
| "loss": 1.2288, |
| "step": 15000 |
| }, |
| { |
| "epoch": 2.520584775667955, |
| "eval_cosine_accuracy": 0.9668734669685364, |
| "eval_loss": 1.0455682277679443, |
| "eval_runtime": 20.9211, |
| "eval_samples_per_second": 454.517, |
| "eval_steps_per_second": 3.585, |
| "step": 15000 |
| }, |
| { |
| "epoch": 2.688623760712485, |
| "grad_norm": 4.500242233276367, |
| "learning_rate": 8.202489103607626e-06, |
| "loss": 1.2237, |
| "step": 16000 |
| }, |
| { |
| "epoch": 2.688623760712485, |
| "eval_cosine_accuracy": 0.9684509634971619, |
| "eval_loss": 1.0359514951705933, |
| "eval_runtime": 21.2644, |
| "eval_samples_per_second": 447.18, |
| "eval_steps_per_second": 3.527, |
| "step": 16000 |
| }, |
| { |
| "epoch": 2.8566627457570157, |
| "grad_norm": 5.441108703613281, |
| "learning_rate": 7.153284671532848e-06, |
| "loss": 1.2137, |
| "step": 17000 |
| }, |
| { |
| "epoch": 2.8566627457570157, |
| "eval_cosine_accuracy": 0.9691870808601379, |
| "eval_loss": 1.0284314155578613, |
| "eval_runtime": 22.2121, |
| "eval_samples_per_second": 428.099, |
| "eval_steps_per_second": 3.377, |
| "step": 17000 |
| } |
| ], |
| "logging_steps": 1000, |
| "max_steps": 23804, |
| "num_input_tokens_seen": 0, |
| "num_train_epochs": 4, |
| "save_steps": 500, |
| "stateful_callbacks": { |
| "TrainerControl": { |
| "args": { |
| "should_epoch_stop": false, |
| "should_evaluate": false, |
| "should_log": false, |
| "should_save": true, |
| "should_training_stop": false |
| }, |
| "attributes": {} |
| } |
| }, |
| "total_flos": 0.0, |
| "train_batch_size": 128, |
| "trial_name": null, |
| "trial_params": null |
| } |
|
|
