| { | |
| "best_global_step": 6696, | |
| "best_metric": 0.515357605277523, | |
| "best_model_checkpoint": "outputs/restaurant/vinai_phobert-base/checkpoint-6696", | |
| "epoch": 72.0, | |
| "eval_steps": 500, | |
| "global_step": 6696, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 1.0, | |
| "grad_norm": 1.10379958152771, | |
| "learning_rate": 2.9992756711044086e-05, | |
| "loss": 0.7015, | |
| "step": 93 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_f1_aspect": 0.5933321447673382, | |
| "eval_f1_macro_aspect": 0.16885755258126195, | |
| "eval_f1_sentiment": 0.16885755258126195, | |
| "eval_loss": 0.48745372891426086, | |
| "eval_runtime": 8.9473, | |
| "eval_samples_per_second": 144.177, | |
| "eval_steps_per_second": 4.582, | |
| "step": 93 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "grad_norm": 1.6488051414489746, | |
| "learning_rate": 2.9970718237156808e-05, | |
| "loss": 0.5199, | |
| "step": 186 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_f1_aspect": 0.624978526026456, | |
| "eval_f1_macro_aspect": 0.18175644028103044, | |
| "eval_f1_sentiment": 0.18175644028103044, | |
| "eval_loss": 0.45015349984169006, | |
| "eval_runtime": 9.1016, | |
| "eval_samples_per_second": 141.734, | |
| "eval_steps_per_second": 4.505, | |
| "step": 186 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "grad_norm": 0.872970700263977, | |
| "learning_rate": 2.993390547180617e-05, | |
| "loss": 0.4759, | |
| "step": 279 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_f1_aspect": 0.7459913082571556, | |
| "eval_f1_macro_aspect": 0.2446883510331042, | |
| "eval_f1_sentiment": 0.2446883510331042, | |
| "eval_loss": 0.40983885526657104, | |
| "eval_runtime": 9.2065, | |
| "eval_samples_per_second": 140.118, | |
| "eval_steps_per_second": 4.453, | |
| "step": 279 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "grad_norm": 0.8576162457466125, | |
| "learning_rate": 2.9882354744747117e-05, | |
| "loss": 0.4218, | |
| "step": 372 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_f1_aspect": 0.7686936281640966, | |
| "eval_f1_macro_aspect": 0.28575861718815654, | |
| "eval_f1_sentiment": 0.28575861718815654, | |
| "eval_loss": 0.38282328844070435, | |
| "eval_runtime": 9.2965, | |
| "eval_samples_per_second": 138.762, | |
| "eval_steps_per_second": 4.41, | |
| "step": 372 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "grad_norm": 1.2181860208511353, | |
| "learning_rate": 2.981611693032346e-05, | |
| "loss": 0.3771, | |
| "step": 465 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_f1_aspect": 0.7861789793262975, | |
| "eval_f1_macro_aspect": 0.32269120714687083, | |
| "eval_f1_sentiment": 0.32269120714687083, | |
| "eval_loss": 0.36723560094833374, | |
| "eval_runtime": 9.356, | |
| "eval_samples_per_second": 137.88, | |
| "eval_steps_per_second": 4.382, | |
| "step": 465 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "grad_norm": 1.1722445487976074, | |
| "learning_rate": 2.9735257397261053e-05, | |
| "loss": 0.3386, | |
| "step": 558 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_f1_aspect": 0.7791606367583213, | |
| "eval_f1_macro_aspect": 0.3425302041227573, | |
| "eval_f1_sentiment": 0.3425302041227573, | |
| "eval_loss": 0.3524690866470337, | |
| "eval_runtime": 9.3401, | |
| "eval_samples_per_second": 138.114, | |
| "eval_steps_per_second": 4.39, | |
| "step": 558 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "grad_norm": 1.1638844013214111, | |
| "learning_rate": 2.9639855944156734e-05, | |
| "loss": 0.3011, | |
| "step": 651 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "eval_f1_aspect": 0.7984066012235026, | |
| "eval_f1_macro_aspect": 0.34551040596236665, | |
| "eval_f1_sentiment": 0.34551040596236665, | |
| "eval_loss": 0.346333771944046, | |
| "eval_runtime": 9.3542, | |
| "eval_samples_per_second": 137.906, | |
| "eval_steps_per_second": 4.383, | |
| "step": 651 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "grad_norm": 1.6177209615707397, | |
| "learning_rate": 2.9530006720726755e-05, | |
| "loss": 0.2675, | |
| "step": 744 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "eval_f1_aspect": 0.8155061019382628, | |
| "eval_f1_macro_aspect": 0.3937242116265103, | |
| "eval_f1_sentiment": 0.3937242116265103, | |
| "eval_loss": 0.32574591040611267, | |
| "eval_runtime": 9.3295, | |
| "eval_samples_per_second": 138.271, | |
| "eval_steps_per_second": 4.395, | |
| "step": 744 | |
| }, | |
| { | |
| "epoch": 9.0, | |
| "grad_norm": 1.4512020349502563, | |
| "learning_rate": 2.9405818134892394e-05, | |
| "loss": 0.2355, | |
| "step": 837 | |
| }, | |
| { | |
| "epoch": 9.0, | |
| "eval_f1_aspect": 0.817910447761194, | |
| "eval_f1_macro_aspect": 0.4096234810909085, | |
| "eval_f1_sentiment": 0.4096234810909085, | |
| "eval_loss": 0.33384305238723755, | |
| "eval_runtime": 9.3362, | |
| "eval_samples_per_second": 138.172, | |
| "eval_steps_per_second": 4.392, | |
| "step": 837 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "grad_norm": 2.0551767349243164, | |
| "learning_rate": 2.926741274579439e-05, | |
| "loss": 0.2072, | |
| "step": 930 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "eval_f1_aspect": 0.8134773955075348, | |
| "eval_f1_macro_aspect": 0.4091244468478088, | |
| "eval_f1_sentiment": 0.4091244468478088, | |
| "eval_loss": 0.3412579298019409, | |
| "eval_runtime": 9.3634, | |
| "eval_samples_per_second": 137.77, | |
| "eval_steps_per_second": 4.379, | |
| "step": 930 | |
| }, | |
| { | |
| "epoch": 11.0, | |
| "grad_norm": 2.016472578048706, | |
| "learning_rate": 2.9114927142841903e-05, | |
| "loss": 0.1839, | |
| "step": 1023 | |
| }, | |
| { | |
| "epoch": 11.0, | |
| "eval_f1_aspect": 0.8203693340794628, | |
| "eval_f1_macro_aspect": 0.43513403771495174, | |
| "eval_f1_sentiment": 0.43513403771495174, | |
| "eval_loss": 0.3348862826824188, | |
| "eval_runtime": 9.3321, | |
| "eval_samples_per_second": 138.232, | |
| "eval_steps_per_second": 4.393, | |
| "step": 1023 | |
| }, | |
| { | |
| "epoch": 12.0, | |
| "grad_norm": 1.1789063215255737, | |
| "learning_rate": 2.894851181091524e-05, | |
| "loss": 0.1653, | |
| "step": 1116 | |
| }, | |
| { | |
| "epoch": 12.0, | |
| "eval_f1_aspect": 0.8179865387369325, | |
| "eval_f1_macro_aspect": 0.41853155653805585, | |
| "eval_f1_sentiment": 0.41853155653805585, | |
| "eval_loss": 0.339160680770874, | |
| "eval_runtime": 9.3338, | |
| "eval_samples_per_second": 138.207, | |
| "eval_steps_per_second": 4.393, | |
| "step": 1116 | |
| }, | |
| { | |
| "epoch": 13.0, | |
| "grad_norm": 1.1383475065231323, | |
| "learning_rate": 2.8768330981855445e-05, | |
| "loss": 0.1483, | |
| "step": 1209 | |
| }, | |
| { | |
| "epoch": 13.0, | |
| "eval_f1_aspect": 0.8207835509863851, | |
| "eval_f1_macro_aspect": 0.47172092276258015, | |
| "eval_f1_sentiment": 0.47172092276258015, | |
| "eval_loss": 0.35056257247924805, | |
| "eval_runtime": 9.3255, | |
| "eval_samples_per_second": 138.331, | |
| "eval_steps_per_second": 4.397, | |
| "step": 1209 | |
| }, | |
| { | |
| "epoch": 14.0, | |
| "grad_norm": 0.7556346654891968, | |
| "learning_rate": 2.85745624723873e-05, | |
| "loss": 0.1336, | |
| "step": 1302 | |
| }, | |
| { | |
| "epoch": 14.0, | |
| "eval_f1_aspect": 0.8288747346072187, | |
| "eval_f1_macro_aspect": 0.45233775987096386, | |
| "eval_f1_sentiment": 0.45233775987096386, | |
| "eval_loss": 0.34405574202537537, | |
| "eval_runtime": 9.343, | |
| "eval_samples_per_second": 138.072, | |
| "eval_steps_per_second": 4.388, | |
| "step": 1302 | |
| }, | |
| { | |
| "epoch": 15.0, | |
| "grad_norm": 1.1931471824645996, | |
| "learning_rate": 2.8367397508635696e-05, | |
| "loss": 0.1215, | |
| "step": 1395 | |
| }, | |
| { | |
| "epoch": 15.0, | |
| "eval_f1_aspect": 0.8191606847045831, | |
| "eval_f1_macro_aspect": 0.46768270879244433, | |
| "eval_f1_sentiment": 0.46768270879244433, | |
| "eval_loss": 0.3684200644493103, | |
| "eval_runtime": 9.3313, | |
| "eval_samples_per_second": 138.245, | |
| "eval_steps_per_second": 4.394, | |
| "step": 1395 | |
| }, | |
| { | |
| "epoch": 16.0, | |
| "grad_norm": 1.4353535175323486, | |
| "learning_rate": 2.8147040537408527e-05, | |
| "loss": 0.1093, | |
| "step": 1488 | |
| }, | |
| { | |
| "epoch": 16.0, | |
| "eval_f1_aspect": 0.8141520943472956, | |
| "eval_f1_macro_aspect": 0.45828212910388655, | |
| "eval_f1_sentiment": 0.45828212910388655, | |
| "eval_loss": 0.3960510194301605, | |
| "eval_runtime": 9.3258, | |
| "eval_samples_per_second": 138.326, | |
| "eval_steps_per_second": 4.396, | |
| "step": 1488 | |
| }, | |
| { | |
| "epoch": 17.0, | |
| "grad_norm": 1.9182143211364746, | |
| "learning_rate": 2.791370902443238e-05, | |
| "loss": 0.0998, | |
| "step": 1581 | |
| }, | |
| { | |
| "epoch": 17.0, | |
| "eval_f1_aspect": 0.8258761601329824, | |
| "eval_f1_macro_aspect": 0.48051371313363417, | |
| "eval_f1_sentiment": 0.48051371313363417, | |
| "eval_loss": 0.3712829649448395, | |
| "eval_runtime": 9.3196, | |
| "eval_samples_per_second": 138.418, | |
| "eval_steps_per_second": 4.399, | |
| "step": 1581 | |
| }, | |
| { | |
| "epoch": 18.0, | |
| "grad_norm": 0.9299781918525696, | |
| "learning_rate": 2.76676332397401e-05, | |
| "loss": 0.0914, | |
| "step": 1674 | |
| }, | |
| { | |
| "epoch": 18.0, | |
| "eval_f1_aspect": 0.819343316389614, | |
| "eval_f1_macro_aspect": 0.4569195105417062, | |
| "eval_f1_sentiment": 0.4569195105417062, | |
| "eval_loss": 0.38896748423576355, | |
| "eval_runtime": 9.3581, | |
| "eval_samples_per_second": 137.849, | |
| "eval_steps_per_second": 4.381, | |
| "step": 1674 | |
| }, | |
| { | |
| "epoch": 19.0, | |
| "grad_norm": 1.3669250011444092, | |
| "learning_rate": 2.740905603042209e-05, | |
| "loss": 0.0839, | |
| "step": 1767 | |
| }, | |
| { | |
| "epoch": 19.0, | |
| "eval_f1_aspect": 0.8201814682430575, | |
| "eval_f1_macro_aspect": 0.47456435634347893, | |
| "eval_f1_sentiment": 0.47456435634347893, | |
| "eval_loss": 0.37582284212112427, | |
| "eval_runtime": 9.37, | |
| "eval_samples_per_second": 137.673, | |
| "eval_steps_per_second": 4.376, | |
| "step": 1767 | |
| }, | |
| { | |
| "epoch": 20.0, | |
| "grad_norm": 1.1103769540786743, | |
| "learning_rate": 2.713823258096555e-05, | |
| "loss": 0.0761, | |
| "step": 1860 | |
| }, | |
| { | |
| "epoch": 20.0, | |
| "eval_f1_aspect": 0.8232564487511942, | |
| "eval_f1_macro_aspect": 0.4851568517791377, | |
| "eval_f1_sentiment": 0.4851568517791377, | |
| "eval_loss": 0.39441487193107605, | |
| "eval_runtime": 9.367, | |
| "eval_samples_per_second": 137.718, | |
| "eval_steps_per_second": 4.377, | |
| "step": 1860 | |
| }, | |
| { | |
| "epoch": 21.0, | |
| "grad_norm": 1.348577618598938, | |
| "learning_rate": 2.685543016141817e-05, | |
| "loss": 0.0712, | |
| "step": 1953 | |
| }, | |
| { | |
| "epoch": 21.0, | |
| "eval_f1_aspect": 0.8264597795018375, | |
| "eval_f1_macro_aspect": 0.47069470951715775, | |
| "eval_f1_sentiment": 0.47069470951715775, | |
| "eval_loss": 0.40276068449020386, | |
| "eval_runtime": 9.3451, | |
| "eval_samples_per_second": 138.041, | |
| "eval_steps_per_second": 4.387, | |
| "step": 1953 | |
| }, | |
| { | |
| "epoch": 22.0, | |
| "grad_norm": 0.24034403264522552, | |
| "learning_rate": 2.65609278636249e-05, | |
| "loss": 0.065, | |
| "step": 2046 | |
| }, | |
| { | |
| "epoch": 22.0, | |
| "eval_f1_aspect": 0.8310792161192382, | |
| "eval_f1_macro_aspect": 0.47892394687508477, | |
| "eval_f1_sentiment": 0.47892394687508477, | |
| "eval_loss": 0.3948163688182831, | |
| "eval_runtime": 9.3847, | |
| "eval_samples_per_second": 137.458, | |
| "eval_steps_per_second": 4.369, | |
| "step": 2046 | |
| }, | |
| { | |
| "epoch": 23.0, | |
| "grad_norm": 0.6048269271850586, | |
| "learning_rate": 2.6255016325797975e-05, | |
| "loss": 0.0603, | |
| "step": 2139 | |
| }, | |
| { | |
| "epoch": 23.0, | |
| "eval_f1_aspect": 0.8304270218316627, | |
| "eval_f1_macro_aspect": 0.48533615854793977, | |
| "eval_f1_sentiment": 0.48533615854793977, | |
| "eval_loss": 0.39172783493995667, | |
| "eval_runtime": 9.3835, | |
| "eval_samples_per_second": 137.475, | |
| "eval_steps_per_second": 4.369, | |
| "step": 2139 | |
| }, | |
| { | |
| "epoch": 24.0, | |
| "grad_norm": 0.7877061367034912, | |
| "learning_rate": 2.5937997445692067e-05, | |
| "loss": 0.0545, | |
| "step": 2232 | |
| }, | |
| { | |
| "epoch": 24.0, | |
| "eval_f1_aspect": 0.8241029113067028, | |
| "eval_f1_macro_aspect": 0.4876234699570111, | |
| "eval_f1_sentiment": 0.4876234699570111, | |
| "eval_loss": 0.4218457043170929, | |
| "eval_runtime": 9.3259, | |
| "eval_samples_per_second": 138.324, | |
| "eval_steps_per_second": 4.396, | |
| "step": 2232 | |
| }, | |
| { | |
| "epoch": 25.0, | |
| "grad_norm": 0.6037042140960693, | |
| "learning_rate": 2.56101840826677e-05, | |
| "loss": 0.05, | |
| "step": 2325 | |
| }, | |
| { | |
| "epoch": 25.0, | |
| "eval_f1_aspect": 0.8251955759374157, | |
| "eval_f1_macro_aspect": 0.49043349379612233, | |
| "eval_f1_sentiment": 0.49043349379612233, | |
| "eval_loss": 0.4337195158004761, | |
| "eval_runtime": 9.3447, | |
| "eval_samples_per_second": 138.046, | |
| "eval_steps_per_second": 4.388, | |
| "step": 2325 | |
| }, | |
| { | |
| "epoch": 26.0, | |
| "grad_norm": 0.35369500517845154, | |
| "learning_rate": 2.5271899748936786e-05, | |
| "loss": 0.0464, | |
| "step": 2418 | |
| }, | |
| { | |
| "epoch": 26.0, | |
| "eval_f1_aspect": 0.8145386766076421, | |
| "eval_f1_macro_aspect": 0.4989429955255985, | |
| "eval_f1_sentiment": 0.4989429955255985, | |
| "eval_loss": 0.4668835997581482, | |
| "eval_runtime": 9.3436, | |
| "eval_samples_per_second": 138.062, | |
| "eval_steps_per_second": 4.388, | |
| "step": 2418 | |
| }, | |
| { | |
| "epoch": 27.0, | |
| "grad_norm": 0.690770149230957, | |
| "learning_rate": 2.4923478290295158e-05, | |
| "loss": 0.0427, | |
| "step": 2511 | |
| }, | |
| { | |
| "epoch": 27.0, | |
| "eval_f1_aspect": 0.8269706124691019, | |
| "eval_f1_macro_aspect": 0.4950815490892515, | |
| "eval_f1_sentiment": 0.4950815490892515, | |
| "eval_loss": 0.4226386547088623, | |
| "eval_runtime": 9.3311, | |
| "eval_samples_per_second": 138.248, | |
| "eval_steps_per_second": 4.394, | |
| "step": 2511 | |
| }, | |
| { | |
| "epoch": 28.0, | |
| "grad_norm": 0.25553351640701294, | |
| "learning_rate": 2.4565263556657065e-05, | |
| "loss": 0.0393, | |
| "step": 2604 | |
| }, | |
| { | |
| "epoch": 28.0, | |
| "eval_f1_aspect": 0.8211371237458194, | |
| "eval_f1_macro_aspect": 0.49076482790770953, | |
| "eval_f1_sentiment": 0.49076482790770953, | |
| "eval_loss": 0.450793981552124, | |
| "eval_runtime": 9.3603, | |
| "eval_samples_per_second": 137.816, | |
| "eval_steps_per_second": 4.38, | |
| "step": 2604 | |
| }, | |
| { | |
| "epoch": 29.0, | |
| "grad_norm": 0.8166686296463013, | |
| "learning_rate": 2.419760906271681e-05, | |
| "loss": 0.0361, | |
| "step": 2697 | |
| }, | |
| { | |
| "epoch": 29.0, | |
| "eval_f1_aspect": 0.829605530703538, | |
| "eval_f1_macro_aspect": 0.497223760698809, | |
| "eval_f1_sentiment": 0.497223760698809, | |
| "eval_loss": 0.4382466971874237, | |
| "eval_runtime": 9.3474, | |
| "eval_samples_per_second": 138.006, | |
| "eval_steps_per_second": 4.386, | |
| "step": 2697 | |
| }, | |
| { | |
| "epoch": 30.0, | |
| "grad_norm": 0.502255916595459, | |
| "learning_rate": 2.382087763907246e-05, | |
| "loss": 0.0337, | |
| "step": 2790 | |
| }, | |
| { | |
| "epoch": 30.0, | |
| "eval_f1_aspect": 0.8287307849272207, | |
| "eval_f1_macro_aspect": 0.4848470830656446, | |
| "eval_f1_sentiment": 0.4848470830656446, | |
| "eval_loss": 0.44884979724884033, | |
| "eval_runtime": 9.3411, | |
| "eval_samples_per_second": 138.099, | |
| "eval_steps_per_second": 4.389, | |
| "step": 2790 | |
| }, | |
| { | |
| "epoch": 31.0, | |
| "grad_norm": 0.9951657652854919, | |
| "learning_rate": 2.3435441074155805e-05, | |
| "loss": 0.0318, | |
| "step": 2883 | |
| }, | |
| { | |
| "epoch": 31.0, | |
| "eval_f1_aspect": 0.8262215641405304, | |
| "eval_f1_macro_aspect": 0.4980498748854937, | |
| "eval_f1_sentiment": 0.4980498748854937, | |
| "eval_loss": 0.4665895998477936, | |
| "eval_runtime": 9.3449, | |
| "eval_samples_per_second": 138.043, | |
| "eval_steps_per_second": 4.387, | |
| "step": 2883 | |
| }, | |
| { | |
| "epoch": 32.0, | |
| "grad_norm": 0.36832740902900696, | |
| "learning_rate": 2.30416797473221e-05, | |
| "loss": 0.0286, | |
| "step": 2976 | |
| }, | |
| { | |
| "epoch": 32.0, | |
| "eval_f1_aspect": 0.8308532423208191, | |
| "eval_f1_macro_aspect": 0.49750043202051564, | |
| "eval_f1_sentiment": 0.49750043202051564, | |
| "eval_loss": 0.4392968416213989, | |
| "eval_runtime": 9.3083, | |
| "eval_samples_per_second": 138.586, | |
| "eval_steps_per_second": 4.405, | |
| "step": 2976 | |
| }, | |
| { | |
| "epoch": 33.0, | |
| "grad_norm": 0.32439595460891724, | |
| "learning_rate": 2.2639982253461552e-05, | |
| "loss": 0.0268, | |
| "step": 3069 | |
| }, | |
| { | |
| "epoch": 33.0, | |
| "eval_f1_aspect": 0.8321267586395301, | |
| "eval_f1_macro_aspect": 0.4950515397265748, | |
| "eval_f1_sentiment": 0.4950515397265748, | |
| "eval_loss": 0.4425518214702606, | |
| "eval_runtime": 9.3231, | |
| "eval_samples_per_second": 138.365, | |
| "eval_steps_per_second": 4.398, | |
| "step": 3069 | |
| }, | |
| { | |
| "epoch": 34.0, | |
| "grad_norm": 0.35072898864746094, | |
| "learning_rate": 2.223074501950307e-05, | |
| "loss": 0.0248, | |
| "step": 3162 | |
| }, | |
| { | |
| "epoch": 34.0, | |
| "eval_f1_aspect": 0.83188484519283, | |
| "eval_f1_macro_aspect": 0.502266735609415, | |
| "eval_f1_sentiment": 0.502266735609415, | |
| "eval_loss": 0.4622325003147125, | |
| "eval_runtime": 9.3309, | |
| "eval_samples_per_second": 138.251, | |
| "eval_steps_per_second": 4.394, | |
| "step": 3162 | |
| }, | |
| { | |
| "epoch": 35.0, | |
| "grad_norm": 0.7930346131324768, | |
| "learning_rate": 2.1814371913188768e-05, | |
| "loss": 0.0235, | |
| "step": 3255 | |
| }, | |
| { | |
| "epoch": 35.0, | |
| "eval_f1_aspect": 0.8264797087771336, | |
| "eval_f1_macro_aspect": 0.4988629225098729, | |
| "eval_f1_sentiment": 0.4988629225098729, | |
| "eval_loss": 0.47125911712646484, | |
| "eval_runtime": 9.3454, | |
| "eval_samples_per_second": 138.035, | |
| "eval_steps_per_second": 4.387, | |
| "step": 3255 | |
| }, | |
| { | |
| "epoch": 36.0, | |
| "grad_norm": 0.4293688237667084, | |
| "learning_rate": 2.139127384450524e-05, | |
| "loss": 0.0226, | |
| "step": 3348 | |
| }, | |
| { | |
| "epoch": 36.0, | |
| "eval_f1_aspect": 0.8337644656228727, | |
| "eval_f1_macro_aspect": 0.48743686932731856, | |
| "eval_f1_sentiment": 0.48743686932731856, | |
| "eval_loss": 0.45808976888656616, | |
| "eval_runtime": 9.3644, | |
| "eval_samples_per_second": 137.756, | |
| "eval_steps_per_second": 4.378, | |
| "step": 3348 | |
| }, | |
| { | |
| "epoch": 37.0, | |
| "grad_norm": 0.26249465346336365, | |
| "learning_rate": 2.0961868360165025e-05, | |
| "loss": 0.0206, | |
| "step": 3441 | |
| }, | |
| { | |
| "epoch": 37.0, | |
| "eval_f1_aspect": 0.8222400427693131, | |
| "eval_f1_macro_aspect": 0.5054661843425796, | |
| "eval_f1_sentiment": 0.5054661843425796, | |
| "eval_loss": 0.5085671544075012, | |
| "eval_runtime": 9.3502, | |
| "eval_samples_per_second": 137.966, | |
| "eval_steps_per_second": 4.385, | |
| "step": 3441 | |
| }, | |
| { | |
| "epoch": 38.0, | |
| "grad_norm": 0.4812083840370178, | |
| "learning_rate": 2.0526579231538418e-05, | |
| "loss": 0.0202, | |
| "step": 3534 | |
| }, | |
| { | |
| "epoch": 38.0, | |
| "eval_f1_aspect": 0.8257322455530293, | |
| "eval_f1_macro_aspect": 0.49273853416492536, | |
| "eval_f1_sentiment": 0.49273853416492536, | |
| "eval_loss": 0.5079413056373596, | |
| "eval_runtime": 9.3389, | |
| "eval_samples_per_second": 138.132, | |
| "eval_steps_per_second": 4.39, | |
| "step": 3534 | |
| }, | |
| { | |
| "epoch": 39.0, | |
| "grad_norm": 0.41249096393585205, | |
| "learning_rate": 2.008583603644228e-05, | |
| "loss": 0.0186, | |
| "step": 3627 | |
| }, | |
| { | |
| "epoch": 39.0, | |
| "eval_f1_aspect": 0.827416712179137, | |
| "eval_f1_macro_aspect": 0.505304770419867, | |
| "eval_f1_sentiment": 0.505304770419867, | |
| "eval_loss": 0.4699024260044098, | |
| "eval_runtime": 9.3379, | |
| "eval_samples_per_second": 138.147, | |
| "eval_steps_per_second": 4.391, | |
| "step": 3627 | |
| }, | |
| { | |
| "epoch": 40.0, | |
| "grad_norm": 0.5531007051467896, | |
| "learning_rate": 1.9640073735198596e-05, | |
| "loss": 0.0177, | |
| "step": 3720 | |
| }, | |
| { | |
| "epoch": 40.0, | |
| "eval_f1_aspect": 0.836542400655469, | |
| "eval_f1_macro_aspect": 0.501600642979722, | |
| "eval_f1_sentiment": 0.501600642979722, | |
| "eval_loss": 0.470309853553772, | |
| "eval_runtime": 9.348, | |
| "eval_samples_per_second": 137.997, | |
| "eval_steps_per_second": 4.386, | |
| "step": 3720 | |
| }, | |
| { | |
| "epoch": 41.0, | |
| "grad_norm": 0.5626578330993652, | |
| "learning_rate": 1.9189732241381162e-05, | |
| "loss": 0.0168, | |
| "step": 3813 | |
| }, | |
| { | |
| "epoch": 41.0, | |
| "eval_f1_aspect": 0.8326975476839237, | |
| "eval_f1_macro_aspect": 0.5021347533739974, | |
| "eval_f1_sentiment": 0.5021347533739974, | |
| "eval_loss": 0.47961315512657166, | |
| "eval_runtime": 9.3145, | |
| "eval_samples_per_second": 138.494, | |
| "eval_steps_per_second": 4.402, | |
| "step": 3813 | |
| }, | |
| { | |
| "epoch": 42.0, | |
| "grad_norm": 0.2621760666370392, | |
| "learning_rate": 1.873525598767399e-05, | |
| "loss": 0.0153, | |
| "step": 3906 | |
| }, | |
| { | |
| "epoch": 42.0, | |
| "eval_f1_aspect": 0.8300459335314779, | |
| "eval_f1_macro_aspect": 0.5035559634999267, | |
| "eval_f1_sentiment": 0.5035559634999267, | |
| "eval_loss": 0.4952414333820343, | |
| "eval_runtime": 9.3623, | |
| "eval_samples_per_second": 137.787, | |
| "eval_steps_per_second": 4.379, | |
| "step": 3906 | |
| }, | |
| { | |
| "epoch": 43.0, | |
| "grad_norm": 0.5963602662086487, | |
| "learning_rate": 1.8277093487269912e-05, | |
| "loss": 0.0145, | |
| "step": 3999 | |
| }, | |
| { | |
| "epoch": 43.0, | |
| "eval_f1_aspect": 0.8300027374760471, | |
| "eval_f1_macro_aspect": 0.5022869266053374, | |
| "eval_f1_sentiment": 0.5022869266053374, | |
| "eval_loss": 0.4856065511703491, | |
| "eval_runtime": 9.3475, | |
| "eval_samples_per_second": 138.005, | |
| "eval_steps_per_second": 4.386, | |
| "step": 3999 | |
| }, | |
| { | |
| "epoch": 44.0, | |
| "grad_norm": 0.10686498880386353, | |
| "learning_rate": 1.781569689124218e-05, | |
| "loss": 0.0138, | |
| "step": 4092 | |
| }, | |
| { | |
| "epoch": 44.0, | |
| "eval_f1_aspect": 0.8269858541893362, | |
| "eval_f1_macro_aspect": 0.5039532789685118, | |
| "eval_f1_sentiment": 0.5039532789685118, | |
| "eval_loss": 0.4970964193344116, | |
| "eval_runtime": 9.3393, | |
| "eval_samples_per_second": 138.126, | |
| "eval_steps_per_second": 4.39, | |
| "step": 4092 | |
| }, | |
| { | |
| "epoch": 45.0, | |
| "grad_norm": 0.33090656995773315, | |
| "learning_rate": 1.7351521542326e-05, | |
| "loss": 0.0128, | |
| "step": 4185 | |
| }, | |
| { | |
| "epoch": 45.0, | |
| "eval_f1_aspect": 0.8324442620708521, | |
| "eval_f1_macro_aspect": 0.5030698686911683, | |
| "eval_f1_sentiment": 0.5030698686911683, | |
| "eval_loss": 0.4739266335964203, | |
| "eval_runtime": 9.3292, | |
| "eval_samples_per_second": 138.276, | |
| "eval_steps_per_second": 4.395, | |
| "step": 4185 | |
| }, | |
| { | |
| "epoch": 46.0, | |
| "grad_norm": 0.1663566678762436, | |
| "learning_rate": 1.688502552555018e-05, | |
| "loss": 0.0123, | |
| "step": 4278 | |
| }, | |
| { | |
| "epoch": 46.0, | |
| "eval_f1_aspect": 0.834061135371179, | |
| "eval_f1_macro_aspect": 0.509172021050766, | |
| "eval_f1_sentiment": 0.509172021050766, | |
| "eval_loss": 0.48807352781295776, | |
| "eval_runtime": 9.3687, | |
| "eval_samples_per_second": 137.693, | |
| "eval_steps_per_second": 4.376, | |
| "step": 4278 | |
| }, | |
| { | |
| "epoch": 47.0, | |
| "grad_norm": 0.3777198791503906, | |
| "learning_rate": 1.6416669216162534e-05, | |
| "loss": 0.0111, | |
| "step": 4371 | |
| }, | |
| { | |
| "epoch": 47.0, | |
| "eval_f1_aspect": 0.8331075589271201, | |
| "eval_f1_macro_aspect": 0.5121130129547204, | |
| "eval_f1_sentiment": 0.5121130129547204, | |
| "eval_loss": 0.4972289204597473, | |
| "eval_runtime": 9.3277, | |
| "eval_samples_per_second": 138.297, | |
| "eval_steps_per_second": 4.395, | |
| "step": 4371 | |
| }, | |
| { | |
| "epoch": 48.0, | |
| "grad_norm": 0.12145251035690308, | |
| "learning_rate": 1.594691482529508e-05, | |
| "loss": 0.0108, | |
| "step": 4464 | |
| }, | |
| { | |
| "epoch": 48.0, | |
| "eval_f1_aspect": 0.8309993201903467, | |
| "eval_f1_macro_aspect": 0.5086307029029409, | |
| "eval_f1_sentiment": 0.5086307029029409, | |
| "eval_loss": 0.5049077868461609, | |
| "eval_runtime": 9.3524, | |
| "eval_samples_per_second": 137.932, | |
| "eval_steps_per_second": 4.384, | |
| "step": 4464 | |
| }, | |
| { | |
| "epoch": 49.0, | |
| "grad_norm": 0.07569893449544907, | |
| "learning_rate": 1.5476225943817477e-05, | |
| "loss": 0.0103, | |
| "step": 4557 | |
| }, | |
| { | |
| "epoch": 49.0, | |
| "eval_f1_aspect": 0.8257667068434444, | |
| "eval_f1_macro_aspect": 0.5098420899290514, | |
| "eval_f1_sentiment": 0.5098420899290514, | |
| "eval_loss": 0.527094304561615, | |
| "eval_runtime": 9.3619, | |
| "eval_samples_per_second": 137.793, | |
| "eval_steps_per_second": 4.379, | |
| "step": 4557 | |
| }, | |
| { | |
| "epoch": 50.0, | |
| "grad_norm": 0.32851970195770264, | |
| "learning_rate": 1.5005067084828775e-05, | |
| "loss": 0.0097, | |
| "step": 4650 | |
| }, | |
| { | |
| "epoch": 50.0, | |
| "eval_f1_aspect": 0.8259358288770053, | |
| "eval_f1_macro_aspect": 0.511524325131937, | |
| "eval_f1_sentiment": 0.511524325131937, | |
| "eval_loss": 0.54547119140625, | |
| "eval_runtime": 9.3572, | |
| "eval_samples_per_second": 137.862, | |
| "eval_steps_per_second": 4.382, | |
| "step": 4650 | |
| }, | |
| { | |
| "epoch": 51.0, | |
| "grad_norm": 0.23753219842910767, | |
| "learning_rate": 1.4533903225239106e-05, | |
| "loss": 0.0094, | |
| "step": 4743 | |
| }, | |
| { | |
| "epoch": 51.0, | |
| "eval_f1_aspect": 0.8308108108108108, | |
| "eval_f1_macro_aspect": 0.5060447117801372, | |
| "eval_f1_sentiment": 0.5060447117801372, | |
| "eval_loss": 0.5215189456939697, | |
| "eval_runtime": 9.3414, | |
| "eval_samples_per_second": 138.094, | |
| "eval_steps_per_second": 4.389, | |
| "step": 4743 | |
| }, | |
| { | |
| "epoch": 52.0, | |
| "grad_norm": 0.06389125436544418, | |
| "learning_rate": 1.406319934689358e-05, | |
| "loss": 0.0088, | |
| "step": 4836 | |
| }, | |
| { | |
| "epoch": 52.0, | |
| "eval_f1_aspect": 0.8305039073026138, | |
| "eval_f1_macro_aspect": 0.5091081741888608, | |
| "eval_f1_sentiment": 0.5091081741888608, | |
| "eval_loss": 0.5314034819602966, | |
| "eval_runtime": 9.3322, | |
| "eval_samples_per_second": 138.231, | |
| "eval_steps_per_second": 4.393, | |
| "step": 4836 | |
| }, | |
| { | |
| "epoch": 53.0, | |
| "grad_norm": 0.10959524661302567, | |
| "learning_rate": 1.359341997769136e-05, | |
| "loss": 0.0085, | |
| "step": 4929 | |
| }, | |
| { | |
| "epoch": 53.0, | |
| "eval_f1_aspect": 0.8315402424077353, | |
| "eval_f1_macro_aspect": 0.5054988827192769, | |
| "eval_f1_sentiment": 0.5054988827192769, | |
| "eval_loss": 0.522325873374939, | |
| "eval_runtime": 9.3288, | |
| "eval_samples_per_second": 138.281, | |
| "eval_steps_per_second": 4.395, | |
| "step": 4929 | |
| }, | |
| { | |
| "epoch": 54.0, | |
| "grad_norm": 0.10368623584508896, | |
| "learning_rate": 1.3125028733152692e-05, | |
| "loss": 0.0083, | |
| "step": 5022 | |
| }, | |
| { | |
| "epoch": 54.0, | |
| "eval_f1_aspect": 0.8303258820360894, | |
| "eval_f1_macro_aspect": 0.5126767891177076, | |
| "eval_f1_sentiment": 0.5126767891177076, | |
| "eval_loss": 0.5269874930381775, | |
| "eval_runtime": 9.3141, | |
| "eval_samples_per_second": 138.499, | |
| "eval_steps_per_second": 4.402, | |
| "step": 5022 | |
| }, | |
| { | |
| "epoch": 55.0, | |
| "grad_norm": 0.1779782474040985, | |
| "learning_rate": 1.2658487858886377e-05, | |
| "loss": 0.0081, | |
| "step": 5115 | |
| }, | |
| { | |
| "epoch": 55.0, | |
| "eval_f1_aspect": 0.8290253096392031, | |
| "eval_f1_macro_aspect": 0.5115460278242395, | |
| "eval_f1_sentiment": 0.5115460278242395, | |
| "eval_loss": 0.5419005751609802, | |
| "eval_runtime": 9.3319, | |
| "eval_samples_per_second": 138.235, | |
| "eval_steps_per_second": 4.394, | |
| "step": 5115 | |
| }, | |
| { | |
| "epoch": 56.0, | |
| "grad_norm": 0.1706460565328598, | |
| "learning_rate": 1.2194257774409154e-05, | |
| "loss": 0.0077, | |
| "step": 5208 | |
| }, | |
| { | |
| "epoch": 56.0, | |
| "eval_f1_aspect": 0.8326342849411447, | |
| "eval_f1_macro_aspect": 0.5092695492835801, | |
| "eval_f1_sentiment": 0.5092695492835801, | |
| "eval_loss": 0.527721107006073, | |
| "eval_runtime": 9.3661, | |
| "eval_samples_per_second": 137.731, | |
| "eval_steps_per_second": 4.378, | |
| "step": 5208 | |
| }, | |
| { | |
| "epoch": 57.0, | |
| "grad_norm": 0.12452230602502823, | |
| "learning_rate": 1.1732796618767227e-05, | |
| "loss": 0.0073, | |
| "step": 5301 | |
| }, | |
| { | |
| "epoch": 57.0, | |
| "eval_f1_aspect": 0.8280682887484877, | |
| "eval_f1_macro_aspect": 0.5039250475125738, | |
| "eval_f1_sentiment": 0.5039250475125738, | |
| "eval_loss": 0.5472165942192078, | |
| "eval_runtime": 9.3353, | |
| "eval_samples_per_second": 138.185, | |
| "eval_steps_per_second": 4.392, | |
| "step": 5301 | |
| }, | |
| { | |
| "epoch": 58.0, | |
| "grad_norm": 0.17888185381889343, | |
| "learning_rate": 1.1274559798408335e-05, | |
| "loss": 0.007, | |
| "step": 5394 | |
| }, | |
| { | |
| "epoch": 58.0, | |
| "eval_f1_aspect": 0.8300618445818768, | |
| "eval_f1_macro_aspect": 0.5115141204508211, | |
| "eval_f1_sentiment": 0.5115141204508211, | |
| "eval_loss": 0.5492764115333557, | |
| "eval_runtime": 9.3839, | |
| "eval_samples_per_second": 137.47, | |
| "eval_steps_per_second": 4.369, | |
| "step": 5394 | |
| }, | |
| { | |
| "epoch": 59.0, | |
| "grad_norm": 0.14206252992153168, | |
| "learning_rate": 1.0819999537750566e-05, | |
| "loss": 0.0066, | |
| "step": 5487 | |
| }, | |
| { | |
| "epoch": 59.0, | |
| "eval_f1_aspect": 0.8283018867924529, | |
| "eval_f1_macro_aspect": 0.5054447791896768, | |
| "eval_f1_sentiment": 0.5054447791896768, | |
| "eval_loss": 0.5587204694747925, | |
| "eval_runtime": 9.358, | |
| "eval_samples_per_second": 137.85, | |
| "eval_steps_per_second": 4.381, | |
| "step": 5487 | |
| }, | |
| { | |
| "epoch": 60.0, | |
| "grad_norm": 0.061074741184711456, | |
| "learning_rate": 1.0369564432891463e-05, | |
| "loss": 0.0064, | |
| "step": 5580 | |
| }, | |
| { | |
| "epoch": 60.0, | |
| "eval_f1_aspect": 0.8348274925292041, | |
| "eval_f1_macro_aspect": 0.5075519832469101, | |
| "eval_f1_sentiment": 0.5075519832469101, | |
| "eval_loss": 0.5378357172012329, | |
| "eval_runtime": 9.3288, | |
| "eval_samples_per_second": 138.281, | |
| "eval_steps_per_second": 4.395, | |
| "step": 5580 | |
| }, | |
| { | |
| "epoch": 61.0, | |
| "grad_norm": 0.10277830809354782, | |
| "learning_rate": 9.923699008897836e-06, | |
| "loss": 0.0061, | |
| "step": 5673 | |
| }, | |
| { | |
| "epoch": 61.0, | |
| "eval_f1_aspect": 0.8329488397340209, | |
| "eval_f1_macro_aspect": 0.508721066148471, | |
| "eval_f1_sentiment": 0.508721066148471, | |
| "eval_loss": 0.5482782125473022, | |
| "eval_runtime": 9.3421, | |
| "eval_samples_per_second": 138.085, | |
| "eval_steps_per_second": 4.389, | |
| "step": 5673 | |
| }, | |
| { | |
| "epoch": 62.0, | |
| "grad_norm": 0.19184204936027527, | |
| "learning_rate": 9.48284328111318e-06, | |
| "loss": 0.006, | |
| "step": 5766 | |
| }, | |
| { | |
| "epoch": 62.0, | |
| "eval_f1_aspect": 0.8309517390132111, | |
| "eval_f1_macro_aspect": 0.5086792171655632, | |
| "eval_f1_sentiment": 0.5086792171655632, | |
| "eval_loss": 0.548111081123352, | |
| "eval_runtime": 9.4091, | |
| "eval_samples_per_second": 137.101, | |
| "eval_steps_per_second": 4.357, | |
| "step": 5766 | |
| }, | |
| { | |
| "epoch": 63.0, | |
| "grad_norm": 0.08960551023483276, | |
| "learning_rate": 9.047432320915662e-06, | |
| "loss": 0.0058, | |
| "step": 5859 | |
| }, | |
| { | |
| "epoch": 63.0, | |
| "eval_f1_aspect": 0.8318009734991888, | |
| "eval_f1_macro_aspect": 0.5046846413594825, | |
| "eval_f1_sentiment": 0.5046846413594825, | |
| "eval_loss": 0.5570544600486755, | |
| "eval_runtime": 9.341, | |
| "eval_samples_per_second": 138.1, | |
| "eval_steps_per_second": 4.389, | |
| "step": 5859 | |
| }, | |
| { | |
| "epoch": 64.0, | |
| "grad_norm": 0.21702516078948975, | |
| "learning_rate": 8.617895826355196e-06, | |
| "loss": 0.0057, | |
| "step": 5952 | |
| }, | |
| { | |
| "epoch": 64.0, | |
| "eval_f1_aspect": 0.8305540613232921, | |
| "eval_f1_macro_aspect": 0.5038690490749029, | |
| "eval_f1_sentiment": 0.5038690490749029, | |
| "eval_loss": 0.558007001876831, | |
| "eval_runtime": 9.3124, | |
| "eval_samples_per_second": 138.525, | |
| "eval_steps_per_second": 4.403, | |
| "step": 5952 | |
| }, | |
| { | |
| "epoch": 65.0, | |
| "grad_norm": 0.1779937744140625, | |
| "learning_rate": 8.19465769809334e-06, | |
| "loss": 0.0056, | |
| "step": 6045 | |
| }, | |
| { | |
| "epoch": 65.0, | |
| "eval_f1_aspect": 0.8275676403284425, | |
| "eval_f1_macro_aspect": 0.5100772980163969, | |
| "eval_f1_sentiment": 0.5100772980163969, | |
| "eval_loss": 0.5643439292907715, | |
| "eval_runtime": 9.3701, | |
| "eval_samples_per_second": 137.672, | |
| "eval_steps_per_second": 4.376, | |
| "step": 6045 | |
| }, | |
| { | |
| "epoch": 66.0, | |
| "grad_norm": 0.16287781298160553, | |
| "learning_rate": 7.778135621064538e-06, | |
| "loss": 0.0056, | |
| "step": 6138 | |
| }, | |
| { | |
| "epoch": 66.0, | |
| "eval_f1_aspect": 0.8326331481230519, | |
| "eval_f1_macro_aspect": 0.5051451274344735, | |
| "eval_f1_sentiment": 0.5051451274344735, | |
| "eval_loss": 0.5547571182250977, | |
| "eval_runtime": 9.3211, | |
| "eval_samples_per_second": 138.396, | |
| "eval_steps_per_second": 4.399, | |
| "step": 6138 | |
| }, | |
| { | |
| "epoch": 67.0, | |
| "grad_norm": 0.10883475840091705, | |
| "learning_rate": 7.3687406522714935e-06, | |
| "loss": 0.0054, | |
| "step": 6231 | |
| }, | |
| { | |
| "epoch": 67.0, | |
| "eval_f1_aspect": 0.8321128288581503, | |
| "eval_f1_macro_aspect": 0.5017256104433099, | |
| "eval_f1_sentiment": 0.5017256104433099, | |
| "eval_loss": 0.5490269660949707, | |
| "eval_runtime": 9.3495, | |
| "eval_samples_per_second": 137.976, | |
| "eval_steps_per_second": 4.385, | |
| "step": 6231 | |
| }, | |
| { | |
| "epoch": 68.0, | |
| "grad_norm": 0.03851054236292839, | |
| "learning_rate": 6.966876815121545e-06, | |
| "loss": 0.005, | |
| "step": 6324 | |
| }, | |
| { | |
| "epoch": 68.0, | |
| "eval_f1_aspect": 0.8308853254278399, | |
| "eval_f1_macro_aspect": 0.5116775487268761, | |
| "eval_f1_sentiment": 0.5116775487268761, | |
| "eval_loss": 0.5618360638618469, | |
| "eval_runtime": 9.3528, | |
| "eval_samples_per_second": 137.926, | |
| "eval_steps_per_second": 4.384, | |
| "step": 6324 | |
| }, | |
| { | |
| "epoch": 69.0, | |
| "grad_norm": 0.07619833946228027, | |
| "learning_rate": 6.5729407007043604e-06, | |
| "loss": 0.0049, | |
| "step": 6417 | |
| }, | |
| { | |
| "epoch": 69.0, | |
| "eval_f1_aspect": 0.8336261656980674, | |
| "eval_f1_macro_aspect": 0.5103642555675019, | |
| "eval_f1_sentiment": 0.5103642555675019, | |
| "eval_loss": 0.5541679263114929, | |
| "eval_runtime": 9.3571, | |
| "eval_samples_per_second": 137.863, | |
| "eval_steps_per_second": 4.382, | |
| "step": 6417 | |
| }, | |
| { | |
| "epoch": 70.0, | |
| "grad_norm": 0.06904967874288559, | |
| "learning_rate": 6.187321076404377e-06, | |
| "loss": 0.0048, | |
| "step": 6510 | |
| }, | |
| { | |
| "epoch": 70.0, | |
| "eval_f1_aspect": 0.8326342849411447, | |
| "eval_f1_macro_aspect": 0.5086953588309843, | |
| "eval_f1_sentiment": 0.5086953588309843, | |
| "eval_loss": 0.5588096976280212, | |
| "eval_runtime": 9.3394, | |
| "eval_samples_per_second": 138.125, | |
| "eval_steps_per_second": 4.39, | |
| "step": 6510 | |
| }, | |
| { | |
| "epoch": 71.0, | |
| "grad_norm": 0.17583686113357544, | |
| "learning_rate": 5.8103985022343725e-06, | |
| "loss": 0.0046, | |
| "step": 6603 | |
| }, | |
| { | |
| "epoch": 71.0, | |
| "eval_f1_aspect": 0.8329952670723462, | |
| "eval_f1_macro_aspect": 0.5078880365837567, | |
| "eval_f1_sentiment": 0.5078880365837567, | |
| "eval_loss": 0.5640448331832886, | |
| "eval_runtime": 9.3374, | |
| "eval_samples_per_second": 138.154, | |
| "eval_steps_per_second": 4.391, | |
| "step": 6603 | |
| }, | |
| { | |
| "epoch": 72.0, | |
| "grad_norm": 0.03971230611205101, | |
| "learning_rate": 5.4425449552686176e-06, | |
| "loss": 0.0047, | |
| "step": 6696 | |
| }, | |
| { | |
| "epoch": 72.0, | |
| "eval_f1_aspect": 0.831053901850362, | |
| "eval_f1_macro_aspect": 0.515357605277523, | |
| "eval_f1_sentiment": 0.515357605277523, | |
| "eval_loss": 0.5797184705734253, | |
| "eval_runtime": 9.337, | |
| "eval_samples_per_second": 138.16, | |
| "eval_steps_per_second": 4.391, | |
| "step": 6696 | |
| } | |
| ], | |
| "logging_steps": 93, | |
| "max_steps": 9300, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 100, | |
| "save_steps": 500, | |
| "stateful_callbacks": { | |
| "TrainerControl": { | |
| "args": { | |
| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
| "should_save": true, | |
| "should_training_stop": false | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 2.2928415218023104e+16, | |
| "train_batch_size": 32, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |