|
{ |
|
"best_metric": 2.2034003734588623, |
|
"best_model_checkpoint": "./Qwen2-4B-Chat-hinglish-sft/checkpoint-650", |
|
"epoch": 2.5819265143992056, |
|
"eval_steps": 25, |
|
"global_step": 650, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.1, |
|
"grad_norm": 1.1830133199691772, |
|
"learning_rate": 0.00019999629591162656, |
|
"loss": 4.7862, |
|
"step": 25 |
|
}, |
|
{ |
|
"epoch": 0.1, |
|
"eval_loss": 4.098670482635498, |
|
"eval_runtime": 4.1063, |
|
"eval_samples_per_second": 2.679, |
|
"eval_steps_per_second": 2.679, |
|
"step": 25 |
|
}, |
|
{ |
|
"epoch": 0.2, |
|
"grad_norm": 1.0619295835494995, |
|
"learning_rate": 0.00019932568492674144, |
|
"loss": 2.9161, |
|
"step": 50 |
|
}, |
|
{ |
|
"epoch": 0.2, |
|
"eval_loss": 3.1406357288360596, |
|
"eval_runtime": 4.0777, |
|
"eval_samples_per_second": 2.698, |
|
"eval_steps_per_second": 2.698, |
|
"step": 50 |
|
}, |
|
{ |
|
"epoch": 0.3, |
|
"grad_norm": 1.1028335094451904, |
|
"learning_rate": 0.0001975064532257195, |
|
"loss": 2.4282, |
|
"step": 75 |
|
}, |
|
{ |
|
"epoch": 0.3, |
|
"eval_loss": 2.8003995418548584, |
|
"eval_runtime": 4.076, |
|
"eval_samples_per_second": 2.699, |
|
"eval_steps_per_second": 2.699, |
|
"step": 75 |
|
}, |
|
{ |
|
"epoch": 0.4, |
|
"grad_norm": 0.9855464100837708, |
|
"learning_rate": 0.00019455963874271426, |
|
"loss": 2.2815, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 0.4, |
|
"eval_loss": 2.6393470764160156, |
|
"eval_runtime": 4.084, |
|
"eval_samples_per_second": 2.693, |
|
"eval_steps_per_second": 2.693, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 0.5, |
|
"grad_norm": 1.154259204864502, |
|
"learning_rate": 0.00019051931898913976, |
|
"loss": 2.1485, |
|
"step": 125 |
|
}, |
|
{ |
|
"epoch": 0.5, |
|
"eval_loss": 2.5862808227539062, |
|
"eval_runtime": 4.0324, |
|
"eval_samples_per_second": 2.728, |
|
"eval_steps_per_second": 2.728, |
|
"step": 125 |
|
}, |
|
{ |
|
"epoch": 0.6, |
|
"grad_norm": 1.2115691900253296, |
|
"learning_rate": 0.0001854322169749827, |
|
"loss": 2.0884, |
|
"step": 150 |
|
}, |
|
{ |
|
"epoch": 0.6, |
|
"eval_loss": 2.491671323776245, |
|
"eval_runtime": 4.0837, |
|
"eval_samples_per_second": 2.694, |
|
"eval_steps_per_second": 2.694, |
|
"step": 150 |
|
}, |
|
{ |
|
"epoch": 0.7, |
|
"grad_norm": 1.0713191032409668, |
|
"learning_rate": 0.00017935716089521474, |
|
"loss": 2.1055, |
|
"step": 175 |
|
}, |
|
{ |
|
"epoch": 0.7, |
|
"eval_loss": 2.4541499614715576, |
|
"eval_runtime": 4.0493, |
|
"eval_samples_per_second": 2.717, |
|
"eval_steps_per_second": 2.717, |
|
"step": 175 |
|
}, |
|
{ |
|
"epoch": 0.79, |
|
"grad_norm": 1.1404445171356201, |
|
"learning_rate": 0.00017236440382959126, |
|
"loss": 2.1012, |
|
"step": 200 |
|
}, |
|
{ |
|
"epoch": 0.79, |
|
"eval_loss": 2.42814040184021, |
|
"eval_runtime": 4.0309, |
|
"eval_samples_per_second": 2.729, |
|
"eval_steps_per_second": 2.729, |
|
"step": 200 |
|
}, |
|
{ |
|
"epoch": 0.89, |
|
"grad_norm": 1.1801480054855347, |
|
"learning_rate": 0.00016453481132295506, |
|
"loss": 1.9956, |
|
"step": 225 |
|
}, |
|
{ |
|
"epoch": 0.89, |
|
"eval_loss": 2.3967058658599854, |
|
"eval_runtime": 4.0145, |
|
"eval_samples_per_second": 2.74, |
|
"eval_steps_per_second": 2.74, |
|
"step": 225 |
|
}, |
|
{ |
|
"epoch": 0.99, |
|
"grad_norm": 1.2651640176773071, |
|
"learning_rate": 0.00015595892624101765, |
|
"loss": 1.9931, |
|
"step": 250 |
|
}, |
|
{ |
|
"epoch": 0.99, |
|
"eval_loss": 2.3804991245269775, |
|
"eval_runtime": 4.0509, |
|
"eval_samples_per_second": 2.715, |
|
"eval_steps_per_second": 2.715, |
|
"step": 250 |
|
}, |
|
{ |
|
"epoch": 1.09, |
|
"grad_norm": 1.2018358707427979, |
|
"learning_rate": 0.00014673592171580025, |
|
"loss": 1.7605, |
|
"step": 275 |
|
}, |
|
{ |
|
"epoch": 1.09, |
|
"eval_loss": 2.358070135116577, |
|
"eval_runtime": 4.0302, |
|
"eval_samples_per_second": 2.729, |
|
"eval_steps_per_second": 2.729, |
|
"step": 275 |
|
}, |
|
{ |
|
"epoch": 1.19, |
|
"grad_norm": 1.2622418403625488, |
|
"learning_rate": 0.00013697245428906732, |
|
"loss": 1.9231, |
|
"step": 300 |
|
}, |
|
{ |
|
"epoch": 1.19, |
|
"eval_loss": 2.3286843299865723, |
|
"eval_runtime": 4.0327, |
|
"eval_samples_per_second": 2.728, |
|
"eval_steps_per_second": 2.728, |
|
"step": 300 |
|
}, |
|
{ |
|
"epoch": 1.29, |
|
"grad_norm": 1.324831247329712, |
|
"learning_rate": 0.00012678143051621742, |
|
"loss": 1.8805, |
|
"step": 325 |
|
}, |
|
{ |
|
"epoch": 1.29, |
|
"eval_loss": 2.3032760620117188, |
|
"eval_runtime": 4.0494, |
|
"eval_samples_per_second": 2.716, |
|
"eval_steps_per_second": 2.716, |
|
"step": 325 |
|
}, |
|
{ |
|
"epoch": 1.39, |
|
"grad_norm": 1.242129921913147, |
|
"learning_rate": 0.00011628070129385169, |
|
"loss": 1.8475, |
|
"step": 350 |
|
}, |
|
{ |
|
"epoch": 1.39, |
|
"eval_loss": 2.2904257774353027, |
|
"eval_runtime": 4.0806, |
|
"eval_samples_per_second": 2.696, |
|
"eval_steps_per_second": 2.696, |
|
"step": 350 |
|
}, |
|
{ |
|
"epoch": 1.49, |
|
"grad_norm": 1.2501651048660278, |
|
"learning_rate": 0.00010559169901006034, |
|
"loss": 1.8282, |
|
"step": 375 |
|
}, |
|
{ |
|
"epoch": 1.49, |
|
"eval_loss": 2.2831265926361084, |
|
"eval_runtime": 4.0586, |
|
"eval_samples_per_second": 2.71, |
|
"eval_steps_per_second": 2.71, |
|
"step": 375 |
|
}, |
|
{ |
|
"epoch": 1.59, |
|
"grad_norm": 1.2264453172683716, |
|
"learning_rate": 9.483803327767462e-05, |
|
"loss": 1.8311, |
|
"step": 400 |
|
}, |
|
{ |
|
"epoch": 1.59, |
|
"eval_loss": 2.2586615085601807, |
|
"eval_runtime": 4.0884, |
|
"eval_samples_per_second": 2.691, |
|
"eval_steps_per_second": 2.691, |
|
"step": 400 |
|
}, |
|
{ |
|
"epoch": 1.69, |
|
"grad_norm": 1.2421507835388184, |
|
"learning_rate": 8.414406148968657e-05, |
|
"loss": 1.8051, |
|
"step": 425 |
|
}, |
|
{ |
|
"epoch": 1.69, |
|
"eval_loss": 2.2608296871185303, |
|
"eval_runtime": 4.0277, |
|
"eval_samples_per_second": 2.731, |
|
"eval_steps_per_second": 2.731, |
|
"step": 425 |
|
}, |
|
{ |
|
"epoch": 1.79, |
|
"grad_norm": 1.4312422275543213, |
|
"learning_rate": 7.363345072719929e-05, |
|
"loss": 1.8093, |
|
"step": 450 |
|
}, |
|
{ |
|
"epoch": 1.79, |
|
"eval_loss": 2.249046564102173, |
|
"eval_runtime": 4.1182, |
|
"eval_samples_per_second": 2.671, |
|
"eval_steps_per_second": 2.671, |
|
"step": 450 |
|
}, |
|
{ |
|
"epoch": 1.89, |
|
"grad_norm": 1.3606431484222412, |
|
"learning_rate": 6.342774765027309e-05, |
|
"loss": 1.6944, |
|
"step": 475 |
|
}, |
|
{ |
|
"epoch": 1.89, |
|
"eval_loss": 2.2398183345794678, |
|
"eval_runtime": 4.0501, |
|
"eval_samples_per_second": 2.716, |
|
"eval_steps_per_second": 2.716, |
|
"step": 475 |
|
}, |
|
{ |
|
"epoch": 1.99, |
|
"grad_norm": 1.4951516389846802, |
|
"learning_rate": 5.3644972909714906e-05, |
|
"loss": 1.7418, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 1.99, |
|
"eval_loss": 2.2147467136383057, |
|
"eval_runtime": 4.0963, |
|
"eval_samples_per_second": 2.685, |
|
"eval_steps_per_second": 2.685, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 2.09, |
|
"grad_norm": 1.3656489849090576, |
|
"learning_rate": 4.439825633429557e-05, |
|
"loss": 1.741, |
|
"step": 525 |
|
}, |
|
{ |
|
"epoch": 2.09, |
|
"eval_loss": 2.20865797996521, |
|
"eval_runtime": 4.08, |
|
"eval_samples_per_second": 2.696, |
|
"eval_steps_per_second": 2.696, |
|
"step": 525 |
|
}, |
|
{ |
|
"epoch": 2.18, |
|
"grad_norm": 1.3683630228042603, |
|
"learning_rate": 3.579452867634364e-05, |
|
"loss": 1.6561, |
|
"step": 550 |
|
}, |
|
{ |
|
"epoch": 2.18, |
|
"eval_loss": 2.2086095809936523, |
|
"eval_runtime": 4.0702, |
|
"eval_samples_per_second": 2.703, |
|
"eval_steps_per_second": 2.703, |
|
"step": 550 |
|
}, |
|
{ |
|
"epoch": 2.28, |
|
"grad_norm": 1.668961524963379, |
|
"learning_rate": 2.793328504461391e-05, |
|
"loss": 1.6894, |
|
"step": 575 |
|
}, |
|
{ |
|
"epoch": 2.28, |
|
"eval_loss": 2.2114932537078857, |
|
"eval_runtime": 4.085, |
|
"eval_samples_per_second": 2.693, |
|
"eval_steps_per_second": 2.693, |
|
"step": 575 |
|
}, |
|
{ |
|
"epoch": 2.38, |
|
"grad_norm": 1.3654729127883911, |
|
"learning_rate": 2.0905434324322283e-05, |
|
"loss": 1.5617, |
|
"step": 600 |
|
}, |
|
{ |
|
"epoch": 2.38, |
|
"eval_loss": 2.2105047702789307, |
|
"eval_runtime": 4.0226, |
|
"eval_samples_per_second": 2.735, |
|
"eval_steps_per_second": 2.735, |
|
"step": 600 |
|
}, |
|
{ |
|
"epoch": 2.48, |
|
"grad_norm": 1.1611803770065308, |
|
"learning_rate": 1.4792247889869071e-05, |
|
"loss": 1.6809, |
|
"step": 625 |
|
}, |
|
{ |
|
"epoch": 2.48, |
|
"eval_loss": 2.2049694061279297, |
|
"eval_runtime": 4.0427, |
|
"eval_samples_per_second": 2.721, |
|
"eval_steps_per_second": 2.721, |
|
"step": 625 |
|
}, |
|
{ |
|
"epoch": 2.58, |
|
"grad_norm": 1.6043980121612549, |
|
"learning_rate": 9.664419767531564e-06, |
|
"loss": 1.7355, |
|
"step": 650 |
|
}, |
|
{ |
|
"epoch": 2.58, |
|
"eval_loss": 2.2034003734588623, |
|
"eval_runtime": 4.0162, |
|
"eval_samples_per_second": 2.739, |
|
"eval_steps_per_second": 2.739, |
|
"step": 650 |
|
} |
|
], |
|
"logging_steps": 25, |
|
"max_steps": 753, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 3, |
|
"save_steps": 25, |
|
"total_flos": 4654398314373120.0, |
|
"train_batch_size": 1, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|