|
{ |
|
"best_metric": null, |
|
"best_model_checkpoint": null, |
|
"epoch": 20.0, |
|
"eval_steps": 500, |
|
"global_step": 2440, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 1.0, |
|
"grad_norm": 5.218796253204346, |
|
"learning_rate": 4.75e-05, |
|
"loss": 0.5604, |
|
"step": 122 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.7268170426065163, |
|
"eval_f1": 0.6626643397324026, |
|
"eval_loss": 0.4996059536933899, |
|
"eval_precision": 0.6671439480717831, |
|
"eval_recall": 0.6592107655937443, |
|
"eval_runtime": 5.1871, |
|
"eval_samples_per_second": 76.921, |
|
"eval_steps_per_second": 9.639, |
|
"step": 122 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"grad_norm": 4.024437427520752, |
|
"learning_rate": 4.5e-05, |
|
"loss": 0.4842, |
|
"step": 244 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.7543859649122807, |
|
"eval_f1": 0.7247113489157984, |
|
"eval_loss": 0.4520498514175415, |
|
"eval_precision": 0.7169408246101261, |
|
"eval_recall": 0.7462265866521185, |
|
"eval_runtime": 5.0789, |
|
"eval_samples_per_second": 78.561, |
|
"eval_steps_per_second": 9.845, |
|
"step": 244 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"grad_norm": 4.7485127449035645, |
|
"learning_rate": 4.25e-05, |
|
"loss": 0.4079, |
|
"step": 366 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_accuracy": 0.8320802005012531, |
|
"eval_f1": 0.800852224051491, |
|
"eval_loss": 0.37486591935157776, |
|
"eval_precision": 0.7962609970674487, |
|
"eval_recall": 0.8061920349154392, |
|
"eval_runtime": 5.055, |
|
"eval_samples_per_second": 78.932, |
|
"eval_steps_per_second": 9.891, |
|
"step": 366 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"grad_norm": 2.6576170921325684, |
|
"learning_rate": 4e-05, |
|
"loss": 0.3378, |
|
"step": 488 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_accuracy": 0.8471177944862155, |
|
"eval_f1": 0.8122237052238519, |
|
"eval_loss": 0.36237815022468567, |
|
"eval_precision": 0.8184491978609625, |
|
"eval_recall": 0.8068285142753229, |
|
"eval_runtime": 5.0874, |
|
"eval_samples_per_second": 78.43, |
|
"eval_steps_per_second": 9.828, |
|
"step": 488 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"grad_norm": 3.3436532020568848, |
|
"learning_rate": 3.7500000000000003e-05, |
|
"loss": 0.3146, |
|
"step": 610 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"eval_accuracy": 0.8471177944862155, |
|
"eval_f1": 0.8234833375639119, |
|
"eval_loss": 0.36204174160957336, |
|
"eval_precision": 0.8130172220979647, |
|
"eval_recall": 0.8393344244408074, |
|
"eval_runtime": 5.0836, |
|
"eval_samples_per_second": 78.488, |
|
"eval_steps_per_second": 9.836, |
|
"step": 610 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"grad_norm": 4.493219375610352, |
|
"learning_rate": 3.5e-05, |
|
"loss": 0.2935, |
|
"step": 732 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"eval_accuracy": 0.849624060150376, |
|
"eval_f1": 0.8252554744525548, |
|
"eval_loss": 0.35182783007621765, |
|
"eval_precision": 0.8157894736842105, |
|
"eval_recall": 0.8386070194580832, |
|
"eval_runtime": 5.0469, |
|
"eval_samples_per_second": 79.059, |
|
"eval_steps_per_second": 9.907, |
|
"step": 732 |
|
}, |
|
{ |
|
"epoch": 7.0, |
|
"grad_norm": 1.3236638307571411, |
|
"learning_rate": 3.2500000000000004e-05, |
|
"loss": 0.2842, |
|
"step": 854 |
|
}, |
|
{ |
|
"epoch": 7.0, |
|
"eval_accuracy": 0.8646616541353384, |
|
"eval_f1": 0.8391129032258065, |
|
"eval_loss": 0.3307338058948517, |
|
"eval_precision": 0.8345705196182396, |
|
"eval_recall": 0.8442444080741953, |
|
"eval_runtime": 5.0617, |
|
"eval_samples_per_second": 78.827, |
|
"eval_steps_per_second": 9.878, |
|
"step": 854 |
|
}, |
|
{ |
|
"epoch": 8.0, |
|
"grad_norm": 2.9696807861328125, |
|
"learning_rate": 3e-05, |
|
"loss": 0.267, |
|
"step": 976 |
|
}, |
|
{ |
|
"epoch": 8.0, |
|
"eval_accuracy": 0.8621553884711779, |
|
"eval_f1": 0.8341332527115377, |
|
"eval_loss": 0.3191296458244324, |
|
"eval_precision": 0.8333132275770553, |
|
"eval_recall": 0.8349699945444626, |
|
"eval_runtime": 5.1096, |
|
"eval_samples_per_second": 78.089, |
|
"eval_steps_per_second": 9.786, |
|
"step": 976 |
|
}, |
|
{ |
|
"epoch": 9.0, |
|
"grad_norm": 6.35373067855835, |
|
"learning_rate": 2.7500000000000004e-05, |
|
"loss": 0.2598, |
|
"step": 1098 |
|
}, |
|
{ |
|
"epoch": 9.0, |
|
"eval_accuracy": 0.8671679197994987, |
|
"eval_f1": 0.8401647707947546, |
|
"eval_loss": 0.31739577651023865, |
|
"eval_precision": 0.8393298751432535, |
|
"eval_recall": 0.8410165484633569, |
|
"eval_runtime": 5.1627, |
|
"eval_samples_per_second": 77.285, |
|
"eval_steps_per_second": 9.685, |
|
"step": 1098 |
|
}, |
|
{ |
|
"epoch": 10.0, |
|
"grad_norm": 4.5958967208862305, |
|
"learning_rate": 2.5e-05, |
|
"loss": 0.2557, |
|
"step": 1220 |
|
}, |
|
{ |
|
"epoch": 10.0, |
|
"eval_accuracy": 0.8646616541353384, |
|
"eval_f1": 0.8367430441898527, |
|
"eval_loss": 0.30755287408828735, |
|
"eval_precision": 0.8367430441898527, |
|
"eval_recall": 0.8367430441898527, |
|
"eval_runtime": 5.0513, |
|
"eval_samples_per_second": 78.99, |
|
"eval_steps_per_second": 9.898, |
|
"step": 1220 |
|
}, |
|
{ |
|
"epoch": 11.0, |
|
"grad_norm": 1.4262058734893799, |
|
"learning_rate": 2.25e-05, |
|
"loss": 0.2341, |
|
"step": 1342 |
|
}, |
|
{ |
|
"epoch": 11.0, |
|
"eval_accuracy": 0.8696741854636592, |
|
"eval_f1": 0.844327731092437, |
|
"eval_loss": 0.31438612937927246, |
|
"eval_precision": 0.8411320530352577, |
|
"eval_recall": 0.8477905073649754, |
|
"eval_runtime": 5.0545, |
|
"eval_samples_per_second": 78.939, |
|
"eval_steps_per_second": 9.892, |
|
"step": 1342 |
|
}, |
|
{ |
|
"epoch": 12.0, |
|
"grad_norm": 10.927000999450684, |
|
"learning_rate": 2e-05, |
|
"loss": 0.2352, |
|
"step": 1464 |
|
}, |
|
{ |
|
"epoch": 12.0, |
|
"eval_accuracy": 0.8671679197994987, |
|
"eval_f1": 0.8409485773595975, |
|
"eval_loss": 0.31350696086883545, |
|
"eval_precision": 0.8385304659498208, |
|
"eval_recall": 0.8435170030914712, |
|
"eval_runtime": 5.0621, |
|
"eval_samples_per_second": 78.821, |
|
"eval_steps_per_second": 9.877, |
|
"step": 1464 |
|
}, |
|
{ |
|
"epoch": 13.0, |
|
"grad_norm": 1.771910309791565, |
|
"learning_rate": 1.75e-05, |
|
"loss": 0.2335, |
|
"step": 1586 |
|
}, |
|
{ |
|
"epoch": 13.0, |
|
"eval_accuracy": 0.8721804511278195, |
|
"eval_f1": 0.8469505178365937, |
|
"eval_loss": 0.30345895886421204, |
|
"eval_precision": 0.844489247311828, |
|
"eval_recall": 0.8495635570103655, |
|
"eval_runtime": 5.0626, |
|
"eval_samples_per_second": 78.814, |
|
"eval_steps_per_second": 9.876, |
|
"step": 1586 |
|
}, |
|
{ |
|
"epoch": 14.0, |
|
"grad_norm": 11.13768482208252, |
|
"learning_rate": 1.5e-05, |
|
"loss": 0.232, |
|
"step": 1708 |
|
}, |
|
{ |
|
"epoch": 14.0, |
|
"eval_accuracy": 0.8696741854636592, |
|
"eval_f1": 0.8450716845878137, |
|
"eval_loss": 0.3012339174747467, |
|
"eval_precision": 0.8404471544715447, |
|
"eval_recall": 0.8502909619930896, |
|
"eval_runtime": 5.0472, |
|
"eval_samples_per_second": 79.054, |
|
"eval_steps_per_second": 9.906, |
|
"step": 1708 |
|
}, |
|
{ |
|
"epoch": 15.0, |
|
"grad_norm": 0.7109107971191406, |
|
"learning_rate": 1.25e-05, |
|
"loss": 0.221, |
|
"step": 1830 |
|
}, |
|
{ |
|
"epoch": 15.0, |
|
"eval_accuracy": 0.8671679197994987, |
|
"eval_f1": 0.8424651921601347, |
|
"eval_loss": 0.3049696981906891, |
|
"eval_precision": 0.8372140762463343, |
|
"eval_recall": 0.8485179123476996, |
|
"eval_runtime": 5.0811, |
|
"eval_samples_per_second": 78.526, |
|
"eval_steps_per_second": 9.84, |
|
"step": 1830 |
|
}, |
|
{ |
|
"epoch": 16.0, |
|
"grad_norm": 6.484745979309082, |
|
"learning_rate": 1e-05, |
|
"loss": 0.216, |
|
"step": 1952 |
|
}, |
|
{ |
|
"epoch": 16.0, |
|
"eval_accuracy": 0.8696741854636592, |
|
"eval_f1": 0.8457993935430168, |
|
"eval_loss": 0.3015521466732025, |
|
"eval_precision": 0.8398540145985401, |
|
"eval_recall": 0.8527914166212038, |
|
"eval_runtime": 5.0477, |
|
"eval_samples_per_second": 79.046, |
|
"eval_steps_per_second": 9.906, |
|
"step": 1952 |
|
}, |
|
{ |
|
"epoch": 17.0, |
|
"grad_norm": 10.693771362304688, |
|
"learning_rate": 7.5e-06, |
|
"loss": 0.2096, |
|
"step": 2074 |
|
}, |
|
{ |
|
"epoch": 17.0, |
|
"eval_accuracy": 0.8696741854636592, |
|
"eval_f1": 0.8435671632788467, |
|
"eval_loss": 0.2880638837814331, |
|
"eval_precision": 0.8419117647058824, |
|
"eval_recall": 0.8452900527368612, |
|
"eval_runtime": 5.1498, |
|
"eval_samples_per_second": 77.478, |
|
"eval_steps_per_second": 9.709, |
|
"step": 2074 |
|
}, |
|
{ |
|
"epoch": 18.0, |
|
"grad_norm": 5.451054096221924, |
|
"learning_rate": 5e-06, |
|
"loss": 0.2184, |
|
"step": 2196 |
|
}, |
|
{ |
|
"epoch": 18.0, |
|
"eval_accuracy": 0.8696741854636592, |
|
"eval_f1": 0.8465112150085814, |
|
"eval_loss": 0.29656729102134705, |
|
"eval_precision": 0.8393498147290412, |
|
"eval_recall": 0.855291871249318, |
|
"eval_runtime": 5.0876, |
|
"eval_samples_per_second": 78.426, |
|
"eval_steps_per_second": 9.828, |
|
"step": 2196 |
|
}, |
|
{ |
|
"epoch": 19.0, |
|
"grad_norm": 3.6623899936676025, |
|
"learning_rate": 2.5e-06, |
|
"loss": 0.2134, |
|
"step": 2318 |
|
}, |
|
{ |
|
"epoch": 19.0, |
|
"eval_accuracy": 0.8671679197994987, |
|
"eval_f1": 0.8409485773595975, |
|
"eval_loss": 0.2884305715560913, |
|
"eval_precision": 0.8385304659498208, |
|
"eval_recall": 0.8435170030914712, |
|
"eval_runtime": 5.0715, |
|
"eval_samples_per_second": 78.675, |
|
"eval_steps_per_second": 9.859, |
|
"step": 2318 |
|
}, |
|
{ |
|
"epoch": 20.0, |
|
"grad_norm": 10.805831909179688, |
|
"learning_rate": 0.0, |
|
"loss": 0.2077, |
|
"step": 2440 |
|
}, |
|
{ |
|
"epoch": 20.0, |
|
"eval_accuracy": 0.8646616541353384, |
|
"eval_f1": 0.8383403361344538, |
|
"eval_loss": 0.289480060338974, |
|
"eval_precision": 0.8352012604792199, |
|
"eval_recall": 0.8417439534460811, |
|
"eval_runtime": 5.0647, |
|
"eval_samples_per_second": 78.78, |
|
"eval_steps_per_second": 9.872, |
|
"step": 2440 |
|
}, |
|
{ |
|
"epoch": 20.0, |
|
"step": 2440, |
|
"total_flos": 7635661149264000.0, |
|
"train_loss": 0.28429694019380164, |
|
"train_runtime": 1955.8264, |
|
"train_samples_per_second": 37.202, |
|
"train_steps_per_second": 1.248 |
|
} |
|
], |
|
"logging_steps": 500, |
|
"max_steps": 2440, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 20, |
|
"save_steps": 500, |
|
"total_flos": 7635661149264000.0, |
|
"train_batch_size": 30, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|