|
{ |
|
"best_metric": null, |
|
"best_model_checkpoint": null, |
|
"epoch": 0.2726859566732313, |
|
"eval_steps": 50, |
|
"global_step": 900, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.02, |
|
"learning_rate": 0.00019, |
|
"loss": 1.4805, |
|
"step": 50 |
|
}, |
|
{ |
|
"epoch": 0.02, |
|
"eval_loss": 0.935647189617157, |
|
"eval_runtime": 1424.1427, |
|
"eval_samples_per_second": 9.27, |
|
"eval_steps_per_second": 1.159, |
|
"step": 50 |
|
}, |
|
{ |
|
"epoch": 0.03, |
|
"learning_rate": 0.00018, |
|
"loss": 0.8948, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 0.03, |
|
"eval_loss": 0.8673275709152222, |
|
"eval_runtime": 1447.9268, |
|
"eval_samples_per_second": 9.118, |
|
"eval_steps_per_second": 1.14, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 0.05, |
|
"learning_rate": 0.00017, |
|
"loss": 0.8357, |
|
"step": 150 |
|
}, |
|
{ |
|
"epoch": 0.05, |
|
"eval_loss": 0.8413857221603394, |
|
"eval_runtime": 1449.9965, |
|
"eval_samples_per_second": 9.105, |
|
"eval_steps_per_second": 1.139, |
|
"step": 150 |
|
}, |
|
{ |
|
"epoch": 0.06, |
|
"learning_rate": 0.00016, |
|
"loss": 0.8461, |
|
"step": 200 |
|
}, |
|
{ |
|
"epoch": 0.06, |
|
"eval_loss": 0.8236712217330933, |
|
"eval_runtime": 1428.6867, |
|
"eval_samples_per_second": 9.241, |
|
"eval_steps_per_second": 1.156, |
|
"step": 200 |
|
}, |
|
{ |
|
"epoch": 0.08, |
|
"learning_rate": 0.00015000000000000001, |
|
"loss": 0.8046, |
|
"step": 250 |
|
}, |
|
{ |
|
"epoch": 0.08, |
|
"eval_loss": 0.7915458679199219, |
|
"eval_runtime": 1422.1414, |
|
"eval_samples_per_second": 9.283, |
|
"eval_steps_per_second": 1.161, |
|
"step": 250 |
|
}, |
|
{ |
|
"epoch": 0.09, |
|
"learning_rate": 0.00014, |
|
"loss": 0.744, |
|
"step": 300 |
|
}, |
|
{ |
|
"epoch": 0.09, |
|
"eval_loss": 0.7999407649040222, |
|
"eval_runtime": 1408.4646, |
|
"eval_samples_per_second": 9.373, |
|
"eval_steps_per_second": 1.172, |
|
"step": 300 |
|
}, |
|
{ |
|
"epoch": 0.11, |
|
"learning_rate": 0.00013000000000000002, |
|
"loss": 0.7219, |
|
"step": 350 |
|
}, |
|
{ |
|
"epoch": 0.11, |
|
"eval_loss": 0.7075337171554565, |
|
"eval_runtime": 1407.3666, |
|
"eval_samples_per_second": 9.381, |
|
"eval_steps_per_second": 1.173, |
|
"step": 350 |
|
}, |
|
{ |
|
"epoch": 0.12, |
|
"learning_rate": 0.00012, |
|
"loss": 0.7027, |
|
"step": 400 |
|
}, |
|
{ |
|
"epoch": 0.12, |
|
"eval_loss": 0.697420060634613, |
|
"eval_runtime": 1391.6821, |
|
"eval_samples_per_second": 9.486, |
|
"eval_steps_per_second": 1.186, |
|
"step": 400 |
|
}, |
|
{ |
|
"epoch": 0.14, |
|
"learning_rate": 0.00011000000000000002, |
|
"loss": 0.6982, |
|
"step": 450 |
|
}, |
|
{ |
|
"epoch": 0.14, |
|
"eval_loss": 0.6917020678520203, |
|
"eval_runtime": 1383.9747, |
|
"eval_samples_per_second": 9.539, |
|
"eval_steps_per_second": 1.193, |
|
"step": 450 |
|
}, |
|
{ |
|
"epoch": 0.15, |
|
"learning_rate": 0.0001, |
|
"loss": 0.6746, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 0.15, |
|
"eval_loss": 0.6870374083518982, |
|
"eval_runtime": 1381.4308, |
|
"eval_samples_per_second": 9.557, |
|
"eval_steps_per_second": 1.195, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 0.17, |
|
"learning_rate": 9e-05, |
|
"loss": 0.6667, |
|
"step": 550 |
|
}, |
|
{ |
|
"epoch": 0.17, |
|
"eval_loss": 0.6836341619491577, |
|
"eval_runtime": 1384.702, |
|
"eval_samples_per_second": 9.534, |
|
"eval_steps_per_second": 1.192, |
|
"step": 550 |
|
}, |
|
{ |
|
"epoch": 0.18, |
|
"learning_rate": 8e-05, |
|
"loss": 0.6872, |
|
"step": 600 |
|
}, |
|
{ |
|
"epoch": 0.18, |
|
"eval_loss": 0.6808720231056213, |
|
"eval_runtime": 1386.676, |
|
"eval_samples_per_second": 9.521, |
|
"eval_steps_per_second": 1.191, |
|
"step": 600 |
|
}, |
|
{ |
|
"epoch": 0.2, |
|
"learning_rate": 7e-05, |
|
"loss": 0.6793, |
|
"step": 650 |
|
}, |
|
{ |
|
"epoch": 0.2, |
|
"eval_loss": 0.6773844957351685, |
|
"eval_runtime": 1607.2067, |
|
"eval_samples_per_second": 8.214, |
|
"eval_steps_per_second": 1.027, |
|
"step": 650 |
|
}, |
|
{ |
|
"epoch": 0.21, |
|
"learning_rate": 6e-05, |
|
"loss": 0.6989, |
|
"step": 700 |
|
}, |
|
{ |
|
"epoch": 0.21, |
|
"eval_loss": 0.6752211451530457, |
|
"eval_runtime": 1618.5926, |
|
"eval_samples_per_second": 8.156, |
|
"eval_steps_per_second": 1.02, |
|
"step": 700 |
|
}, |
|
{ |
|
"epoch": 0.23, |
|
"learning_rate": 5e-05, |
|
"loss": 0.6525, |
|
"step": 750 |
|
}, |
|
{ |
|
"epoch": 0.23, |
|
"eval_loss": 0.6731519103050232, |
|
"eval_runtime": 1621.8237, |
|
"eval_samples_per_second": 8.14, |
|
"eval_steps_per_second": 1.018, |
|
"step": 750 |
|
}, |
|
{ |
|
"epoch": 0.24, |
|
"learning_rate": 4e-05, |
|
"loss": 0.6722, |
|
"step": 800 |
|
}, |
|
{ |
|
"epoch": 0.24, |
|
"eval_loss": 0.6716203689575195, |
|
"eval_runtime": 1622.2693, |
|
"eval_samples_per_second": 8.138, |
|
"eval_steps_per_second": 1.018, |
|
"step": 800 |
|
}, |
|
{ |
|
"epoch": 0.26, |
|
"learning_rate": 3e-05, |
|
"loss": 0.6687, |
|
"step": 850 |
|
}, |
|
{ |
|
"epoch": 0.26, |
|
"eval_loss": 0.6699801683425903, |
|
"eval_runtime": 1622.5334, |
|
"eval_samples_per_second": 8.137, |
|
"eval_steps_per_second": 1.018, |
|
"step": 850 |
|
}, |
|
{ |
|
"epoch": 0.27, |
|
"learning_rate": 2e-05, |
|
"loss": 0.6381, |
|
"step": 900 |
|
}, |
|
{ |
|
"epoch": 0.27, |
|
"eval_loss": 0.6691889762878418, |
|
"eval_runtime": 1621.8507, |
|
"eval_samples_per_second": 8.14, |
|
"eval_steps_per_second": 1.018, |
|
"step": 900 |
|
} |
|
], |
|
"logging_steps": 50, |
|
"max_steps": 1000, |
|
"num_train_epochs": 1, |
|
"save_steps": 50, |
|
"total_flos": 6.760273113356698e+16, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|