|
{ |
|
"best_metric": 0.023472091183066368, |
|
"best_model_checkpoint": "./vit-base-beans-demo-v5/checkpoint-200", |
|
"epoch": 4.0, |
|
"eval_steps": 100, |
|
"global_step": 260, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.15384615384615385, |
|
"grad_norm": 1.6673494577407837, |
|
"learning_rate": 0.00019230769230769233, |
|
"loss": 0.854, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 0.3076923076923077, |
|
"grad_norm": 2.448685646057129, |
|
"learning_rate": 0.00018461538461538463, |
|
"loss": 0.3317, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 0.46153846153846156, |
|
"grad_norm": 2.043360471725464, |
|
"learning_rate": 0.00017692307692307693, |
|
"loss": 0.1775, |
|
"step": 30 |
|
}, |
|
{ |
|
"epoch": 0.6153846153846154, |
|
"grad_norm": 1.6278131008148193, |
|
"learning_rate": 0.00016923076923076923, |
|
"loss": 0.2664, |
|
"step": 40 |
|
}, |
|
{ |
|
"epoch": 0.7692307692307693, |
|
"grad_norm": 2.8160293102264404, |
|
"learning_rate": 0.00016153846153846155, |
|
"loss": 0.1958, |
|
"step": 50 |
|
}, |
|
{ |
|
"epoch": 0.9230769230769231, |
|
"grad_norm": 3.9445712566375732, |
|
"learning_rate": 0.00015384615384615385, |
|
"loss": 0.3197, |
|
"step": 60 |
|
}, |
|
{ |
|
"epoch": 1.0769230769230769, |
|
"grad_norm": 1.7708736658096313, |
|
"learning_rate": 0.00014615384615384615, |
|
"loss": 0.17, |
|
"step": 70 |
|
}, |
|
{ |
|
"epoch": 1.2307692307692308, |
|
"grad_norm": 0.18868741393089294, |
|
"learning_rate": 0.00013846153846153847, |
|
"loss": 0.1075, |
|
"step": 80 |
|
}, |
|
{ |
|
"epoch": 1.3846153846153846, |
|
"grad_norm": 0.14158321917057037, |
|
"learning_rate": 0.00013076923076923077, |
|
"loss": 0.0441, |
|
"step": 90 |
|
}, |
|
{ |
|
"epoch": 1.5384615384615383, |
|
"grad_norm": 0.9749258160591125, |
|
"learning_rate": 0.0001230769230769231, |
|
"loss": 0.1108, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 1.5384615384615383, |
|
"eval_accuracy": 1.0, |
|
"eval_loss": 0.02870349958539009, |
|
"eval_runtime": 1.8021, |
|
"eval_samples_per_second": 73.804, |
|
"eval_steps_per_second": 9.434, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 1.6923076923076923, |
|
"grad_norm": 0.22034430503845215, |
|
"learning_rate": 0.00011538461538461538, |
|
"loss": 0.0436, |
|
"step": 110 |
|
}, |
|
{ |
|
"epoch": 1.8461538461538463, |
|
"grad_norm": 0.13325901329517365, |
|
"learning_rate": 0.0001076923076923077, |
|
"loss": 0.1215, |
|
"step": 120 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"grad_norm": 0.2772440016269684, |
|
"learning_rate": 0.0001, |
|
"loss": 0.0707, |
|
"step": 130 |
|
}, |
|
{ |
|
"epoch": 2.1538461538461537, |
|
"grad_norm": 0.9475046992301941, |
|
"learning_rate": 9.230769230769232e-05, |
|
"loss": 0.0471, |
|
"step": 140 |
|
}, |
|
{ |
|
"epoch": 2.3076923076923075, |
|
"grad_norm": 1.3417366743087769, |
|
"learning_rate": 8.461538461538461e-05, |
|
"loss": 0.0655, |
|
"step": 150 |
|
}, |
|
{ |
|
"epoch": 2.4615384615384617, |
|
"grad_norm": 0.09867988526821136, |
|
"learning_rate": 7.692307692307693e-05, |
|
"loss": 0.0296, |
|
"step": 160 |
|
}, |
|
{ |
|
"epoch": 2.6153846153846154, |
|
"grad_norm": 0.10215840488672256, |
|
"learning_rate": 6.923076923076924e-05, |
|
"loss": 0.0161, |
|
"step": 170 |
|
}, |
|
{ |
|
"epoch": 2.769230769230769, |
|
"grad_norm": 0.11826897412538528, |
|
"learning_rate": 6.153846153846155e-05, |
|
"loss": 0.0345, |
|
"step": 180 |
|
}, |
|
{ |
|
"epoch": 2.9230769230769234, |
|
"grad_norm": 0.06787172704935074, |
|
"learning_rate": 5.384615384615385e-05, |
|
"loss": 0.0145, |
|
"step": 190 |
|
}, |
|
{ |
|
"epoch": 3.076923076923077, |
|
"grad_norm": 0.06440696865320206, |
|
"learning_rate": 4.615384615384616e-05, |
|
"loss": 0.0128, |
|
"step": 200 |
|
}, |
|
{ |
|
"epoch": 3.076923076923077, |
|
"eval_accuracy": 1.0, |
|
"eval_loss": 0.023472091183066368, |
|
"eval_runtime": 1.2523, |
|
"eval_samples_per_second": 106.201, |
|
"eval_steps_per_second": 13.575, |
|
"step": 200 |
|
}, |
|
{ |
|
"epoch": 3.230769230769231, |
|
"grad_norm": 0.06286267191171646, |
|
"learning_rate": 3.846153846153846e-05, |
|
"loss": 0.0123, |
|
"step": 210 |
|
}, |
|
{ |
|
"epoch": 3.3846153846153846, |
|
"grad_norm": 0.06109225004911423, |
|
"learning_rate": 3.0769230769230774e-05, |
|
"loss": 0.0121, |
|
"step": 220 |
|
}, |
|
{ |
|
"epoch": 3.5384615384615383, |
|
"grad_norm": 0.06259910762310028, |
|
"learning_rate": 2.307692307692308e-05, |
|
"loss": 0.0117, |
|
"step": 230 |
|
}, |
|
{ |
|
"epoch": 3.6923076923076925, |
|
"grad_norm": 0.060203827917575836, |
|
"learning_rate": 1.5384615384615387e-05, |
|
"loss": 0.0114, |
|
"step": 240 |
|
}, |
|
{ |
|
"epoch": 3.8461538461538463, |
|
"grad_norm": 0.05893297493457794, |
|
"learning_rate": 7.692307692307694e-06, |
|
"loss": 0.0114, |
|
"step": 250 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"grad_norm": 0.05691501870751381, |
|
"learning_rate": 0.0, |
|
"loss": 0.0114, |
|
"step": 260 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"step": 260, |
|
"total_flos": 3.205097416476426e+17, |
|
"train_loss": 0.11937046449344892, |
|
"train_runtime": 97.651, |
|
"train_samples_per_second": 42.355, |
|
"train_steps_per_second": 2.663 |
|
} |
|
], |
|
"logging_steps": 10, |
|
"max_steps": 260, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 4, |
|
"save_steps": 100, |
|
"stateful_callbacks": { |
|
"TrainerControl": { |
|
"args": { |
|
"should_epoch_stop": false, |
|
"should_evaluate": false, |
|
"should_log": false, |
|
"should_save": true, |
|
"should_training_stop": false |
|
}, |
|
"attributes": {} |
|
} |
|
}, |
|
"total_flos": 3.205097416476426e+17, |
|
"train_batch_size": 16, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|