bert-base-cased-best / results.txt
Edward Gow-Smith
added model
4a54a80
{"results": [{"epoch": 2.0, "eval_accuracy": 0.7510729432106018, "eval_f1": 0.7716535433070866}], "seed": 0, "train_path": "EMNLP-2021/data/v3/SentenceClassificationData/FalseTrue-0/train.csv", "dev_path": "EMNLP-2021/data/v3/SentenceClassificationData/FalseTrue-0/dev.csv", "model_name": "bert-base-cased"}
{"results": [{"epoch": 9.0, "eval_accuracy": 0.770386278629303, "eval_f1": 0.7961904761904762}], "seed": 0, "train_path": "EMNLP-2021/data/v3/SentenceClassificationData/FalseTrue-0/train.csv", "dev_path": "EMNLP-2021/data/v3/SentenceClassificationData/FalseTrue-0/dev.csv", "model_name": "bert-base-cased"}
{"results": [{"epoch": 9.0, "eval_accuracy": 0.7854077219963074, "eval_f1": 0.8134328358208955}], "seed": 1, "train_path": "EMNLP-2021/data/v3/SentenceClassificationData/FalseTrue-0/train.csv", "dev_path": "EMNLP-2021/data/v3/SentenceClassificationData/FalseTrue-0/dev.csv", "model_name": "bert-base-cased"}
{"results": [{"epoch": 9.0, "eval_accuracy": 0.7639485001564026, "eval_f1": 0.7916666666666666}], "seed": 2, "train_path": "EMNLP-2021/data/v3/SentenceClassificationData/FalseTrue-0/train.csv", "dev_path": "EMNLP-2021/data/v3/SentenceClassificationData/FalseTrue-0/dev.csv", "model_name": "bert-base-cased"}
{"results": [{"epoch": 9.0, "eval_accuracy": 0.7596566677093506, "eval_f1": 0.7894736842105263}], "seed": 3, "train_path": "EMNLP-2021/data/v3/SentenceClassificationData/FalseTrue-0/train.csv", "dev_path": "EMNLP-2021/data/v3/SentenceClassificationData/FalseTrue-0/dev.csv", "model_name": "bert-base-cased"}
{"results": [{"epoch": 9.0, "eval_accuracy": 0.7381974458694458, "eval_f1": 0.7773722627737226}], "seed": 4, "train_path": "EMNLP-2021/data/v3/SentenceClassificationData/FalseTrue-0/train.csv", "dev_path": "EMNLP-2021/data/v3/SentenceClassificationData/FalseTrue-0/dev.csv", "model_name": "bert-base-cased"}
{"results": [{"epoch": 9.0, "eval_accuracy": 0.770386278629303, "eval_f1": 0.8051001821493625}], "seed": 0, "train_path": "EMNLP-2021/data/v3/SentenceClassificationData/TrueTrue-0/train.csv", "dev_path": "EMNLP-2021/data/v3/SentenceClassificationData/TrueTrue-0/dev.csv", "model_name": "bert-base-cased"}
{"results": [{"epoch": 9.0, "eval_accuracy": 0.774678111076355, "eval_f1": 0.8073394495412844}], "seed": 1, "train_path": "EMNLP-2021/data/v3/SentenceClassificationData/TrueTrue-0/train.csv", "dev_path": "EMNLP-2021/data/v3/SentenceClassificationData/TrueTrue-0/dev.csv", "model_name": "bert-base-cased"}
{"results": [{"epoch": 9.0, "eval_accuracy": 0.7575107216835022, "eval_f1": 0.79491833030853}], "seed": 2, "train_path": "EMNLP-2021/data/v3/SentenceClassificationData/TrueTrue-0/train.csv", "dev_path": "EMNLP-2021/data/v3/SentenceClassificationData/TrueTrue-0/dev.csv", "model_name": "bert-base-cased"}
{"results": [{"epoch": 9.0, "eval_accuracy": 0.770386278629303, "eval_f1": 0.8022181146025879}], "seed": 3, "train_path": "EMNLP-2021/data/v3/SentenceClassificationData/TrueTrue-0/train.csv", "dev_path": "EMNLP-2021/data/v3/SentenceClassificationData/TrueTrue-0/dev.csv", "model_name": "bert-base-cased"}
{"results": [{"epoch": 9.0, "eval_accuracy": 0.766094446182251, "eval_f1": 0.8057040998217468}], "seed": 4, "train_path": "EMNLP-2021/data/v3/SentenceClassificationData/TrueTrue-0/train.csv", "dev_path": "EMNLP-2021/data/v3/SentenceClassificationData/TrueTrue-0/dev.csv", "model_name": "bert-base-cased"}
{"results": [{"epoch": 9.0, "eval_accuracy": 0.729613721370697, "eval_f1": 0.7797202797202797}], "seed": 0, "train_path": "EMNLP-2021/data/v3/SentenceClassificationData/FalseFalse-0/train.csv", "dev_path": "EMNLP-2021/data/v3/SentenceClassificationData/FalseFalse-0/dev.csv", "model_name": "bert-base-cased"}
{"results": [{"epoch": 9.0, "eval_accuracy": 0.716738224029541, "eval_f1": 0.7716262975778547}], "seed": 1, "train_path": "EMNLP-2021/data/v3/SentenceClassificationData/FalseFalse-0/train.csv", "dev_path": "EMNLP-2021/data/v3/SentenceClassificationData/FalseFalse-0/dev.csv", "model_name": "bert-base-cased"}
{"results": [{"epoch": 9.0, "eval_accuracy": 0.721030056476593, "eval_f1": 0.7719298245614035}], "seed": 2, "train_path": "EMNLP-2021/data/v3/SentenceClassificationData/FalseFalse-0/train.csv", "dev_path": "EMNLP-2021/data/v3/SentenceClassificationData/FalseFalse-0/dev.csv", "model_name": "bert-base-cased"}
{"results": [{"epoch": 9.0, "eval_accuracy": 0.721030056476593, "eval_f1": 0.7703180212014135}], "seed": 3, "train_path": "EMNLP-2021/data/v3/SentenceClassificationData/FalseFalse-0/train.csv", "dev_path": "EMNLP-2021/data/v3/SentenceClassificationData/FalseFalse-0/dev.csv", "model_name": "bert-base-cased"}
{"results": [{"epoch": 9.0, "eval_accuracy": 0.729613721370697, "eval_f1": 0.7871621621621622}], "seed": 4, "train_path": "EMNLP-2021/data/v3/SentenceClassificationData/FalseFalse-0/train.csv", "dev_path": "EMNLP-2021/data/v3/SentenceClassificationData/FalseFalse-0/dev.csv", "model_name": "bert-base-cased"}
{"results": [{"epoch": 9.0, "eval_accuracy": 0.7043478488922119, "eval_f1": 0.6890243902439024}], "seed": 0, "train_path": "EMNLP-2021/data/v3/SentenceClassificationData/FalseTrue-2/train.csv", "dev_path": "EMNLP-2021/data/v3/SentenceClassificationData/FalseTrue-2/dev.csv", "model_name": "bert-base-cased"}
{"results": [{"epoch": 9.0, "eval_accuracy": 0.6608695387840271, "eval_f1": 0.6465256797583081}], "seed": 1, "train_path": "EMNLP-2021/data/v3/SentenceClassificationData/FalseTrue-2/train.csv", "dev_path": "EMNLP-2021/data/v3/SentenceClassificationData/FalseTrue-2/dev.csv", "model_name": "bert-base-cased"}
{"results": [{"epoch": 9.0, "eval_accuracy": 0.7130434513092041, "eval_f1": 0.7211267605633803}], "seed": 2, "train_path": "EMNLP-2021/data/v3/SentenceClassificationData/FalseTrue-2/train.csv", "dev_path": "EMNLP-2021/data/v3/SentenceClassificationData/FalseTrue-2/dev.csv", "model_name": "bert-base-cased"}
{"results": [{"epoch": 9.0, "eval_accuracy": 0.6985507011413574, "eval_f1": 0.7011494252873564}], "seed": 3, "train_path": "EMNLP-2021/data/v3/SentenceClassificationData/FalseTrue-2/train.csv", "dev_path": "EMNLP-2021/data/v3/SentenceClassificationData/FalseTrue-2/dev.csv", "model_name": "bert-base-cased"}
{"results": [{"epoch": 9.0, "eval_accuracy": 0.686956524848938, "eval_f1": 0.6804733727810651}], "seed": 4, "train_path": "EMNLP-2021/data/v3/SentenceClassificationData/FalseTrue-2/train.csv", "dev_path": "EMNLP-2021/data/v3/SentenceClassificationData/FalseTrue-2/dev.csv", "model_name": "bert-base-cased"}
{"results": [{"epoch": 9.0, "eval_accuracy": 0.7060086131095886, "eval_f1": 0.74487895716946}], "seed": 0, "train_path": "EMNLP-2021/data/v3/SentenceClassificationData/FalseTrue-0/train.csv", "dev_path": "EMNLP-2021/data/v3/SentenceClassificationData/FalseTrue-0/dev.csv", "model_name": "bert-base-uncased"}
{"results": [{"epoch": 9.0, "eval_accuracy": 0.7124463319778442, "eval_f1": 0.7572463768115942}], "seed": 1, "train_path": "EMNLP-2021/data/v3/SentenceClassificationData/FalseTrue-0/train.csv", "dev_path": "EMNLP-2021/data/v3/SentenceClassificationData/FalseTrue-0/dev.csv", "model_name": "bert-base-uncased"}
{"results": [{"epoch": 9.0, "eval_accuracy": 0.7489270567893982, "eval_f1": 0.7710371819960861}], "seed": 2, "train_path": "EMNLP-2021/data/v3/SentenceClassificationData/FalseTrue-0/train.csv", "dev_path": "EMNLP-2021/data/v3/SentenceClassificationData/FalseTrue-0/dev.csv", "model_name": "bert-base-uncased"}
{"results": [{"epoch": 9.0, "eval_accuracy": 0.716738224029541, "eval_f1": 0.7509433962264151}], "seed": 3, "train_path": "EMNLP-2021/data/v3/SentenceClassificationData/FalseTrue-0/train.csv", "dev_path": "EMNLP-2021/data/v3/SentenceClassificationData/FalseTrue-0/dev.csv", "model_name": "bert-base-uncased"}
{"results": [{"epoch": 9.0, "eval_accuracy": 0.7403433322906494, "eval_f1": 0.7603960396039604}], "seed": 4, "train_path": "EMNLP-2021/data/v3/SentenceClassificationData/FalseTrue-0/train.csv", "dev_path": "EMNLP-2021/data/v3/SentenceClassificationData/FalseTrue-0/dev.csv", "model_name": "bert-base-uncased"}
{"results": [{"epoch": 9.0, "eval_accuracy": 0.774678111076355, "eval_f1": 0.8128342245989305}], "seed": 0, "train_path": "EMNLP-2021/data/v3/SentenceClassificationData/FalseTrue-0/train.csv", "dev_path": "EMNLP-2021/data/v3/SentenceClassificationData/FalseTrue-0/dev.csv", "model_name": "roberta-base"}
{"results": [{"epoch": 9.0, "eval_accuracy": 0.8025751113891602, "eval_f1": 0.8385964912280702}], "seed": 1, "train_path": "EMNLP-2021/data/v3/SentenceClassificationData/FalseTrue-0/train.csv", "dev_path": "EMNLP-2021/data/v3/SentenceClassificationData/FalseTrue-0/dev.csv", "model_name": "roberta-base"}
{"results": [{"epoch": 9.0, "eval_accuracy": 0.7768240571022034, "eval_f1": 0.8115942028985508}], "seed": 2, "train_path": "EMNLP-2021/data/v3/SentenceClassificationData/FalseTrue-0/train.csv", "dev_path": "EMNLP-2021/data/v3/SentenceClassificationData/FalseTrue-0/dev.csv", "model_name": "roberta-base"}
{"results": [{"epoch": 9.0, "eval_accuracy": 0.7725321650505066, "eval_f1": 0.8093525179856115}], "seed": 3, "train_path": "EMNLP-2021/data/v3/SentenceClassificationData/FalseTrue-0/train.csv", "dev_path": "EMNLP-2021/data/v3/SentenceClassificationData/FalseTrue-0/dev.csv", "model_name": "roberta-base"}
{"results": [{"epoch": 9.0, "eval_accuracy": 0.770386278629303, "eval_f1": 0.8085867620751341}], "seed": 4, "train_path": "EMNLP-2021/data/v3/SentenceClassificationData/FalseTrue-0/train.csv", "dev_path": "EMNLP-2021/data/v3/SentenceClassificationData/FalseTrue-0/dev.csv", "model_name": "roberta-base"}
{"results": [{"epoch": 9.0, "eval_accuracy": 0.774678111076355, "eval_f1": 0.8148148148148148}], "seed": 0, "train_path": "EMNLP-2021/data/v3/SentenceClassificationData/FalseTrue-0/train.csv", "dev_path": "EMNLP-2021/data/v3/SentenceClassificationData/FalseTrue-0/dev.csv", "model_name": "xlnet-base-cased"}
{"results": [{"epoch": 9.0, "eval_accuracy": 0.7982832789421082, "eval_f1": 0.8373702422145328}], "seed": 1, "train_path": "EMNLP-2021/data/v3/SentenceClassificationData/FalseTrue-0/train.csv", "dev_path": "EMNLP-2021/data/v3/SentenceClassificationData/FalseTrue-0/dev.csv", "model_name": "xlnet-base-cased"}
{"results": [{"epoch": 9.0, "eval_accuracy": 0.7875536680221558, "eval_f1": 0.8190127970749543}], "seed": 2, "train_path": "EMNLP-2021/data/v3/SentenceClassificationData/FalseTrue-0/train.csv", "dev_path": "EMNLP-2021/data/v3/SentenceClassificationData/FalseTrue-0/dev.csv", "model_name": "xlnet-base-cased"}
{"results": [{"epoch": 9.0, "eval_accuracy": 0.7875536680221558, "eval_f1": 0.8272251308900523}], "seed": 3, "train_path": "EMNLP-2021/data/v3/SentenceClassificationData/FalseTrue-0/train.csv", "dev_path": "EMNLP-2021/data/v3/SentenceClassificationData/FalseTrue-0/dev.csv", "model_name": "xlnet-base-cased"}
{"results": [{"epoch": 9.0, "eval_accuracy": 0.7939913868904114, "eval_f1": 0.8309859154929577}], "seed": 4, "train_path": "EMNLP-2021/data/v3/SentenceClassificationData/FalseTrue-0/train.csv", "dev_path": "EMNLP-2021/data/v3/SentenceClassificationData/FalseTrue-0/dev.csv", "model_name": "xlnet-base-cased"}
{"results": [{"epoch": 9.0, "eval_accuracy": 0.7317596673965454, "eval_f1": 0.7680890538033395}], "seed": 0, "train_path": "EMNLP-2021/data/v3/SentenceClassificationData/FalseTrue-0/train.csv", "dev_path": "EMNLP-2021/data/v3/SentenceClassificationData/FalseTrue-0/dev.csv", "model_name": "distilbert-base-cased"}
{"results": [{"epoch": 9.0, "eval_accuracy": 0.725321888923645, "eval_f1": 0.762962962962963}], "seed": 1, "train_path": "EMNLP-2021/data/v3/SentenceClassificationData/FalseTrue-0/train.csv", "dev_path": "EMNLP-2021/data/v3/SentenceClassificationData/FalseTrue-0/dev.csv", "model_name": "distilbert-base-cased"}
{"results": [{"epoch": 9.0, "eval_accuracy": 0.7274678349494934, "eval_f1": 0.7678244972577697}], "seed": 2, "train_path": "EMNLP-2021/data/v3/SentenceClassificationData/FalseTrue-0/train.csv", "dev_path": "EMNLP-2021/data/v3/SentenceClassificationData/FalseTrue-0/dev.csv", "model_name": "distilbert-base-cased"}
{"results": [{"epoch": 9.0, "eval_accuracy": 0.7317596673965454, "eval_f1": 0.7680890538033395}], "seed": 3, "train_path": "EMNLP-2021/data/v3/SentenceClassificationData/FalseTrue-0/train.csv", "dev_path": "EMNLP-2021/data/v3/SentenceClassificationData/FalseTrue-0/dev.csv", "model_name": "distilbert-base-cased"}
{"results": [{"epoch": 9.0, "eval_accuracy": 0.7446351647377014, "eval_f1": 0.7840290381125227}], "seed": 4, "train_path": "EMNLP-2021/data/v3/SentenceClassificationData/FalseTrue-0/train.csv", "dev_path": "EMNLP-2021/data/v3/SentenceClassificationData/FalseTrue-0/dev.csv", "model_name": "distilbert-base-cased"}
{"results": [{"epoch": 9.0, "eval_accuracy": 0.954935610294342, "eval_f1": 0.9630931458699473}], "seed": 0, "train_path": "EMNLP-2021/data/v3/SentenceClassificationData/FalseTrue-0/train_from_dev.csv", "dev_path": "EMNLP-2021/data/v3/SentenceClassificationData/FalseTrue-0/dev.csv", "model_name": "results/xlnet-base-cased-FalseTrue0-1"}
{"results": [{"epoch": 9.0, "eval_accuracy": 0.9442059993743896, "eval_f1": 0.954225352112676}], "seed": 1, "train_path": "EMNLP-2021/data/v3/SentenceClassificationData/FalseTrue-0/train_from_dev.csv", "dev_path": "EMNLP-2021/data/v3/SentenceClassificationData/FalseTrue-0/dev.csv", "model_name": "results/xlnet-base-cased-FalseTrue0-1"}
{"results": [{"epoch": 9.0, "eval_accuracy": 0.95064377784729, "eval_f1": 0.9591474245115453}], "seed": 2, "train_path": "EMNLP-2021/data/v3/SentenceClassificationData/FalseTrue-0/train_from_dev.csv", "dev_path": "EMNLP-2021/data/v3/SentenceClassificationData/FalseTrue-0/dev.csv", "model_name": "results/xlnet-base-cased-FalseTrue0-1"}
{"results": [{"epoch": 9.0, "eval_accuracy": 0.954935610294342, "eval_f1": 0.9630931458699473}], "seed": 3, "train_path": "EMNLP-2021/data/v3/SentenceClassificationData/FalseTrue-0/train_from_dev.csv", "dev_path": "EMNLP-2021/data/v3/SentenceClassificationData/FalseTrue-0/dev.csv", "model_name": "results/xlnet-base-cased-FalseTrue0-1"}
{"results": [{"epoch": 9.0, "eval_accuracy": 0.9399141669273376, "eval_f1": 0.9513888888888888}], "seed": 4, "train_path": "EMNLP-2021/data/v3/SentenceClassificationData/FalseTrue-0/train_from_dev.csv", "dev_path": "EMNLP-2021/data/v3/SentenceClassificationData/FalseTrue-0/dev.csv", "model_name": "results/xlnet-base-cased-FalseTrue0-1"}
{"results": [{"epoch": 9.0, "eval_accuracy": 0.8948497772216797, "eval_f1": 0.9165247018739353}], "seed": 0, "train_path": "EMNLP-2021/data/v3/SentenceClassificationData/FalseTrue-0/train_from_dev_short.csv", "dev_path": "EMNLP-2021/data/v3/SentenceClassificationData/FalseTrue-0/dev.csv", "model_name": "results/xlnet-base-cased-FalseTrue0-1"}
{"results": [{"epoch": 9.0, "eval_accuracy": 0.8776823878288269, "eval_f1": 0.9042016806722689}], "seed": 1, "train_path": "EMNLP-2021/data/v3/SentenceClassificationData/FalseTrue-0/train_from_dev_short.csv", "dev_path": "EMNLP-2021/data/v3/SentenceClassificationData/FalseTrue-0/dev.csv", "model_name": "results/xlnet-base-cased-FalseTrue0-1"}
{"results": [{"epoch": 9.0, "eval_accuracy": 0.8690987229347229, "eval_f1": 0.8967851099830795}], "seed": 2, "train_path": "EMNLP-2021/data/v3/SentenceClassificationData/FalseTrue-0/train_from_dev_short.csv", "dev_path": "EMNLP-2021/data/v3/SentenceClassificationData/FalseTrue-0/dev.csv", "model_name": "results/xlnet-base-cased-FalseTrue0-1"}
{"results": [{"epoch": 9.0, "eval_accuracy": 0.8991416096687317, "eval_f1": 0.9176882661996497}], "seed": 3, "train_path": "EMNLP-2021/data/v3/SentenceClassificationData/FalseTrue-0/train_from_dev_short.csv", "dev_path": "EMNLP-2021/data/v3/SentenceClassificationData/FalseTrue-0/dev.csv", "model_name": "results/xlnet-base-cased-FalseTrue0-1"}
{"results": [{"epoch": 9.0, "eval_accuracy": 0.8991416096687317, "eval_f1": 0.9185441941074524}], "seed": 4, "train_path": "EMNLP-2021/data/v3/SentenceClassificationData/FalseTrue-0/train_from_dev_short.csv", "dev_path": "EMNLP-2021/data/v3/SentenceClassificationData/FalseTrue-0/dev.csv", "model_name": "results/xlnet-base-cased-FalseTrue0-1"}
{"results": [{"epoch": 9.0, "eval_accuracy": 0.7639485001564026, "eval_f1": 0.7916666666666666}], "seed": 2, "train_path": "EMNLP-2021/data/v3/SentenceClassificationData/FalseTrue-0/train.csv", "dev_path": "EMNLP-2021/data/v3/SentenceClassificationData/FalseTrue-0/dev.csv", "model_name": "bert-base-cased"}