|
{ |
|
"best_metric": 0.5955204216073782, |
|
"best_model_checkpoint": "outputs/indobert-large-p1-reddit-indonesia-sarcastic/checkpoint-618", |
|
"epoch": 5.0, |
|
"eval_steps": 500, |
|
"global_step": 1545, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 1.0, |
|
"learning_rate": 9.997580472186832e-06, |
|
"loss": 0.4573, |
|
"step": 309 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.7965981573352232, |
|
"eval_f1": 0.5684210526315789, |
|
"eval_loss": 0.4250751733779907, |
|
"eval_precision": 0.6057692307692307, |
|
"eval_recall": 0.5354107648725213, |
|
"eval_runtime": 17.8064, |
|
"eval_samples_per_second": 79.241, |
|
"eval_steps_per_second": 1.292, |
|
"step": 309 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"learning_rate": 9.99026090730682e-06, |
|
"loss": 0.3274, |
|
"step": 618 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.7824238128986535, |
|
"eval_f1": 0.5955204216073782, |
|
"eval_loss": 0.44584009051322937, |
|
"eval_precision": 0.5566502463054187, |
|
"eval_recall": 0.6402266288951841, |
|
"eval_runtime": 17.8093, |
|
"eval_samples_per_second": 79.228, |
|
"eval_steps_per_second": 1.291, |
|
"step": 618 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"learning_rate": 9.978000770590375e-06, |
|
"loss": 0.1999, |
|
"step": 927 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_accuracy": 0.8065201984408221, |
|
"eval_f1": 0.5411764705882353, |
|
"eval_loss": 0.589012622833252, |
|
"eval_precision": 0.6652892561983471, |
|
"eval_recall": 0.45609065155807366, |
|
"eval_runtime": 17.7739, |
|
"eval_samples_per_second": 79.386, |
|
"eval_steps_per_second": 1.294, |
|
"step": 927 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"learning_rate": 9.960827948114673e-06, |
|
"loss": 0.0864, |
|
"step": 1236 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_accuracy": 0.8022678951098512, |
|
"eval_f1": 0.5535999999999999, |
|
"eval_loss": 0.8080465793609619, |
|
"eval_precision": 0.6360294117647058, |
|
"eval_recall": 0.49008498583569404, |
|
"eval_runtime": 17.8175, |
|
"eval_samples_per_second": 79.192, |
|
"eval_steps_per_second": 1.291, |
|
"step": 1236 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"learning_rate": 9.9387593873822e-06, |
|
"loss": 0.0391, |
|
"step": 1545 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"eval_accuracy": 0.7895109851169383, |
|
"eval_f1": 0.5293185419968305, |
|
"eval_loss": 1.1299033164978027, |
|
"eval_precision": 0.6007194244604317, |
|
"eval_recall": 0.4730878186968839, |
|
"eval_runtime": 17.8133, |
|
"eval_samples_per_second": 79.211, |
|
"eval_steps_per_second": 1.291, |
|
"step": 1545 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"step": 1545, |
|
"total_flos": 1.151051725130496e+16, |
|
"train_loss": 0.22202195041002193, |
|
"train_runtime": 2055.0485, |
|
"train_samples_per_second": 480.816, |
|
"train_steps_per_second": 15.036 |
|
} |
|
], |
|
"logging_steps": 500, |
|
"max_steps": 30900, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 100, |
|
"save_steps": 500, |
|
"total_flos": 1.151051725130496e+16, |
|
"train_batch_size": 32, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|