|
{ |
|
"best_metric": 0.7160926461219788, |
|
"best_model_checkpoint": "final_models/glue_models/structroberta_s1_final//finetune/mnli/checkpoint-8000", |
|
"epoch": 4.618937644341801, |
|
"global_step": 10000, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.18, |
|
"eval_accuracy": 0.5429747104644775, |
|
"eval_loss": 0.9390358924865723, |
|
"eval_runtime": 12.8367, |
|
"eval_samples_per_second": 511.192, |
|
"eval_steps_per_second": 63.957, |
|
"step": 400 |
|
}, |
|
{ |
|
"epoch": 0.23, |
|
"learning_rate": 4.884526558891455e-05, |
|
"loss": 0.9969, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 0.37, |
|
"eval_accuracy": 0.584273099899292, |
|
"eval_loss": 0.8898679614067078, |
|
"eval_runtime": 12.8403, |
|
"eval_samples_per_second": 511.046, |
|
"eval_steps_per_second": 63.939, |
|
"step": 800 |
|
}, |
|
{ |
|
"epoch": 0.46, |
|
"learning_rate": 4.7690531177829104e-05, |
|
"loss": 0.8987, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 0.55, |
|
"eval_accuracy": 0.6351721882820129, |
|
"eval_loss": 0.8180076479911804, |
|
"eval_runtime": 12.8474, |
|
"eval_samples_per_second": 510.766, |
|
"eval_steps_per_second": 63.904, |
|
"step": 1200 |
|
}, |
|
{ |
|
"epoch": 0.69, |
|
"learning_rate": 4.653579676674365e-05, |
|
"loss": 0.8315, |
|
"step": 1500 |
|
}, |
|
{ |
|
"epoch": 0.74, |
|
"eval_accuracy": 0.6568119525909424, |
|
"eval_loss": 0.7814252972602844, |
|
"eval_runtime": 12.834, |
|
"eval_samples_per_second": 511.298, |
|
"eval_steps_per_second": 63.971, |
|
"step": 1600 |
|
}, |
|
{ |
|
"epoch": 0.92, |
|
"learning_rate": 4.53810623556582e-05, |
|
"loss": 0.7832, |
|
"step": 2000 |
|
}, |
|
{ |
|
"epoch": 0.92, |
|
"eval_accuracy": 0.6636695861816406, |
|
"eval_loss": 0.7712134718894958, |
|
"eval_runtime": 12.8417, |
|
"eval_samples_per_second": 510.991, |
|
"eval_steps_per_second": 63.932, |
|
"step": 2000 |
|
}, |
|
{ |
|
"epoch": 1.11, |
|
"eval_accuracy": 0.6700701117515564, |
|
"eval_loss": 0.7608532905578613, |
|
"eval_runtime": 12.8417, |
|
"eval_samples_per_second": 510.991, |
|
"eval_steps_per_second": 63.932, |
|
"step": 2400 |
|
}, |
|
{ |
|
"epoch": 1.15, |
|
"learning_rate": 4.422632794457275e-05, |
|
"loss": 0.7252, |
|
"step": 2500 |
|
}, |
|
{ |
|
"epoch": 1.29, |
|
"eval_accuracy": 0.6767753958702087, |
|
"eval_loss": 0.7573378086090088, |
|
"eval_runtime": 12.8419, |
|
"eval_samples_per_second": 510.983, |
|
"eval_steps_per_second": 63.931, |
|
"step": 2800 |
|
}, |
|
{ |
|
"epoch": 1.39, |
|
"learning_rate": 4.30715935334873e-05, |
|
"loss": 0.6858, |
|
"step": 3000 |
|
}, |
|
{ |
|
"epoch": 1.48, |
|
"eval_accuracy": 0.6862236857414246, |
|
"eval_loss": 0.735822856426239, |
|
"eval_runtime": 12.8397, |
|
"eval_samples_per_second": 511.073, |
|
"eval_steps_per_second": 63.942, |
|
"step": 3200 |
|
}, |
|
{ |
|
"epoch": 1.62, |
|
"learning_rate": 4.1916859122401844e-05, |
|
"loss": 0.6767, |
|
"step": 3500 |
|
}, |
|
{ |
|
"epoch": 1.66, |
|
"eval_accuracy": 0.6981103420257568, |
|
"eval_loss": 0.7118889093399048, |
|
"eval_runtime": 12.8424, |
|
"eval_samples_per_second": 510.962, |
|
"eval_steps_per_second": 63.929, |
|
"step": 3600 |
|
}, |
|
{ |
|
"epoch": 1.85, |
|
"learning_rate": 4.07621247113164e-05, |
|
"loss": 0.6719, |
|
"step": 4000 |
|
}, |
|
{ |
|
"epoch": 1.85, |
|
"eval_accuracy": 0.6932337880134583, |
|
"eval_loss": 0.734716534614563, |
|
"eval_runtime": 12.8464, |
|
"eval_samples_per_second": 510.805, |
|
"eval_steps_per_second": 63.909, |
|
"step": 4000 |
|
}, |
|
{ |
|
"epoch": 2.03, |
|
"eval_accuracy": 0.7067967057228088, |
|
"eval_loss": 0.7124155163764954, |
|
"eval_runtime": 12.8351, |
|
"eval_samples_per_second": 511.256, |
|
"eval_steps_per_second": 63.965, |
|
"step": 4400 |
|
}, |
|
{ |
|
"epoch": 2.08, |
|
"learning_rate": 3.960739030023095e-05, |
|
"loss": 0.6358, |
|
"step": 4500 |
|
}, |
|
{ |
|
"epoch": 2.22, |
|
"eval_accuracy": 0.7046632170677185, |
|
"eval_loss": 0.7168723344802856, |
|
"eval_runtime": 12.8893, |
|
"eval_samples_per_second": 509.103, |
|
"eval_steps_per_second": 63.696, |
|
"step": 4800 |
|
}, |
|
{ |
|
"epoch": 2.31, |
|
"learning_rate": 3.84526558891455e-05, |
|
"loss": 0.5673, |
|
"step": 5000 |
|
}, |
|
{ |
|
"epoch": 2.4, |
|
"eval_accuracy": 0.7063395380973816, |
|
"eval_loss": 0.7214012145996094, |
|
"eval_runtime": 12.8644, |
|
"eval_samples_per_second": 510.09, |
|
"eval_steps_per_second": 63.82, |
|
"step": 5200 |
|
}, |
|
{ |
|
"epoch": 2.54, |
|
"learning_rate": 3.729792147806005e-05, |
|
"loss": 0.5681, |
|
"step": 5500 |
|
}, |
|
{ |
|
"epoch": 2.59, |
|
"eval_accuracy": 0.7023773193359375, |
|
"eval_loss": 0.7392827272415161, |
|
"eval_runtime": 12.8544, |
|
"eval_samples_per_second": 510.488, |
|
"eval_steps_per_second": 63.869, |
|
"step": 5600 |
|
}, |
|
{ |
|
"epoch": 2.77, |
|
"learning_rate": 3.61431870669746e-05, |
|
"loss": 0.5741, |
|
"step": 6000 |
|
}, |
|
{ |
|
"epoch": 2.77, |
|
"eval_accuracy": 0.7077110409736633, |
|
"eval_loss": 0.7138980627059937, |
|
"eval_runtime": 12.8474, |
|
"eval_samples_per_second": 510.763, |
|
"eval_steps_per_second": 63.904, |
|
"step": 6000 |
|
}, |
|
{ |
|
"epoch": 2.96, |
|
"eval_accuracy": 0.7118256688117981, |
|
"eval_loss": 0.6938605904579163, |
|
"eval_runtime": 12.8504, |
|
"eval_samples_per_second": 510.647, |
|
"eval_steps_per_second": 63.889, |
|
"step": 6400 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"learning_rate": 3.498845265588915e-05, |
|
"loss": 0.5723, |
|
"step": 6500 |
|
}, |
|
{ |
|
"epoch": 3.14, |
|
"eval_accuracy": 0.7093873620033264, |
|
"eval_loss": 0.7904877662658691, |
|
"eval_runtime": 12.8645, |
|
"eval_samples_per_second": 510.087, |
|
"eval_steps_per_second": 63.819, |
|
"step": 6800 |
|
}, |
|
{ |
|
"epoch": 3.23, |
|
"learning_rate": 3.38337182448037e-05, |
|
"loss": 0.4584, |
|
"step": 7000 |
|
}, |
|
{ |
|
"epoch": 3.33, |
|
"eval_accuracy": 0.7139591574668884, |
|
"eval_loss": 0.7631048560142517, |
|
"eval_runtime": 12.84, |
|
"eval_samples_per_second": 511.061, |
|
"eval_steps_per_second": 63.941, |
|
"step": 7200 |
|
}, |
|
{ |
|
"epoch": 3.46, |
|
"learning_rate": 3.2678983833718243e-05, |
|
"loss": 0.4606, |
|
"step": 7500 |
|
}, |
|
{ |
|
"epoch": 3.51, |
|
"eval_accuracy": 0.7107589244842529, |
|
"eval_loss": 0.7649423480033875, |
|
"eval_runtime": 12.8337, |
|
"eval_samples_per_second": 511.31, |
|
"eval_steps_per_second": 63.972, |
|
"step": 7600 |
|
}, |
|
{ |
|
"epoch": 3.7, |
|
"learning_rate": 3.1524249422632794e-05, |
|
"loss": 0.4719, |
|
"step": 8000 |
|
}, |
|
{ |
|
"epoch": 3.7, |
|
"eval_accuracy": 0.7160926461219788, |
|
"eval_loss": 0.7716315388679504, |
|
"eval_runtime": 12.849, |
|
"eval_samples_per_second": 510.7, |
|
"eval_steps_per_second": 63.896, |
|
"step": 8000 |
|
}, |
|
{ |
|
"epoch": 3.88, |
|
"eval_accuracy": 0.7092350125312805, |
|
"eval_loss": 0.7540602087974548, |
|
"eval_runtime": 12.851, |
|
"eval_samples_per_second": 510.623, |
|
"eval_steps_per_second": 63.886, |
|
"step": 8400 |
|
}, |
|
{ |
|
"epoch": 3.93, |
|
"learning_rate": 3.0369515011547345e-05, |
|
"loss": 0.4809, |
|
"step": 8500 |
|
}, |
|
{ |
|
"epoch": 4.06, |
|
"eval_accuracy": 0.7098445892333984, |
|
"eval_loss": 0.8660436868667603, |
|
"eval_runtime": 12.8552, |
|
"eval_samples_per_second": 510.455, |
|
"eval_steps_per_second": 63.865, |
|
"step": 8800 |
|
}, |
|
{ |
|
"epoch": 4.16, |
|
"learning_rate": 2.9214780600461896e-05, |
|
"loss": 0.4002, |
|
"step": 9000 |
|
}, |
|
{ |
|
"epoch": 4.25, |
|
"eval_accuracy": 0.7133495807647705, |
|
"eval_loss": 0.8522323369979858, |
|
"eval_runtime": 12.8555, |
|
"eval_samples_per_second": 510.443, |
|
"eval_steps_per_second": 63.864, |
|
"step": 9200 |
|
}, |
|
{ |
|
"epoch": 4.39, |
|
"learning_rate": 2.8060046189376443e-05, |
|
"loss": 0.3682, |
|
"step": 9500 |
|
}, |
|
{ |
|
"epoch": 4.43, |
|
"eval_accuracy": 0.7069491147994995, |
|
"eval_loss": 0.8781996965408325, |
|
"eval_runtime": 12.8756, |
|
"eval_samples_per_second": 509.647, |
|
"eval_steps_per_second": 63.764, |
|
"step": 9600 |
|
}, |
|
{ |
|
"epoch": 4.62, |
|
"learning_rate": 2.6905311778290994e-05, |
|
"loss": 0.373, |
|
"step": 10000 |
|
}, |
|
{ |
|
"epoch": 4.62, |
|
"eval_accuracy": 0.7087777853012085, |
|
"eval_loss": 0.8231818675994873, |
|
"eval_runtime": 12.8953, |
|
"eval_samples_per_second": 508.867, |
|
"eval_steps_per_second": 63.667, |
|
"step": 10000 |
|
}, |
|
{ |
|
"epoch": 4.62, |
|
"step": 10000, |
|
"total_flos": 1.0013297089714176e+17, |
|
"train_loss": 0.6100377502441406, |
|
"train_runtime": 5918.4858, |
|
"train_samples_per_second": 438.93, |
|
"train_steps_per_second": 3.658 |
|
} |
|
], |
|
"max_steps": 21650, |
|
"num_train_epochs": 10, |
|
"total_flos": 1.0013297089714176e+17, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|