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NewNormalTraining

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train · 11 rows

Model_name stringclasses 9 values	Train_size int64 17.5k 80k	Test_size int64 4.38k 19.9k	arg dict	lora null	Parameters int64 109M 576M	Trainable_parameters int64 109M 576M	r null	Memory Allocation stringlengths 6 8	Training Time stringlengths 5 7	Performance dict
FacebookAI/roberta-base	79,963	19,949	{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 1, "lr_scheduler_type": "linear", "num_train_epochs": 1, "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407, "warmup_steps": 5, "weight_decay": 0.01 }	null	124,655,629	124,655,629	null	2819.64	1444.75	{ "accuracy": 0.8086620883252293, "f1_macro": 0.8074971081620297, "f1_weighted": 0.8089926084331718, "precision": 0.8112376642019833, "recall": 0.8048878175934993 }
google-bert/bert-base-uncased	79,963	19,949	{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 1, "lr_scheduler_type": "linear", "num_train_epochs": 1, "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407, "warmup_steps": 5, "weight_decay": 0.01 }	null	109,492,237	109,492,237	null	2640.15	1433.95	{ "accuracy": 0.8115695022306882, "f1_macro": 0.8101042959591243, "f1_weighted": 0.8118172140602734, "precision": 0.8133373143934648, "recall": 0.8080391782949717 }
google/rembert	79,963	19,949	{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 1, "lr_scheduler_type": "linear", "num_train_epochs": 1, "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407, "warmup_steps": 5, "weight_decay": 0.01 }	null	575,935,373	575,935,373	null	10776.53	8466.9	{ "accuracy": 0.10942904406235901, "f1_macro": 0.015174686148841219, "f1_weighted": 0.02158716818978219, "precision": 0.008417618774027616, "recall": 0.07692307692307693 }
FacebookAI/xlm-roberta-large	79,963	19,949	{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 1, "lr_scheduler_type": "linear", "num_train_epochs": 1, "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407, "warmup_steps": 5, "weight_decay": 0.01 }	null	559,903,757	559,903,757	null	10131.01	4703.38	{ "accuracy": 0.8106170735375207, "f1_macro": 0.809018812566914, "f1_weighted": 0.8108204110948648, "precision": 0.8119560567314967, "recall": 0.8076222775774148 }
FacebookAI/roberta-large	79,963	19,949	{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 1, "lr_scheduler_type": "linear", "num_train_epochs": 1, "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407, "warmup_steps": 5, "weight_decay": 0.01 }	null	355,373,069	355,373,069	null	7396.25	1528.33	{ "accuracy": 0.8172840743896937, "f1_macro": 0.8163705094398566, "f1_weighted": 0.8174146001493484, "precision": 0.819546863393102, "recall": 0.8143561508863832 }
google-bert/bert-large-uncased	79,963	19,949	{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 1, "lr_scheduler_type": "linear", "num_train_epochs": 1, "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407, "warmup_steps": 5, "weight_decay": 0.01 }	null	335,155,213	335,155,213	null	4886.3	1500.66	{ "accuracy": 0.8118702691864254, "f1_macro": 0.810497140289229, "f1_weighted": 0.8119116411541117, "precision": 0.8142730315701795, "recall": 0.8082541366904293 }
answerdotai/ModernBERT-large	79,963	19,949	{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 1, "lr_scheduler_type": "linear", "num_train_epochs": 1, "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407, "warmup_steps": 5, "weight_decay": 0.01 }	null	395,844,621	395,844,621	null	5846.52	1720.84	{ "accuracy": 0.8195899543836784, "f1_macro": 0.8187302351427349, "f1_weighted": 0.8198901011478449, "precision": 0.8238169381133621, "recall": 0.8152943589028868 }
andreasmadsen/efficient_mlm_m0.40	79,963	19,949	{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 1, "lr_scheduler_type": "linear", "num_train_epochs": 1, "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407, "warmup_steps": 5, "weight_decay": 0.01 }	null	355,375,117	355,375,117	null	5240.13	1550.9	{ "accuracy": 0.8015439370394506, "f1_macro": 0.8006785018268369, "f1_weighted": 0.8019864355002386, "precision": 0.805722054413156, "recall": 0.7970090688999505 }
microsoft/deberta-large	79,963	19,949	{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 1, "lr_scheduler_type": "linear", "num_train_epochs": 1, "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407, "warmup_steps": 5, "weight_decay": 0.01 }	null	406,225,933	406,225,933	null	6680.97	1982.33	{ "accuracy": 0.8142262770063662, "f1_macro": 0.8132404294946559, "f1_weighted": 0.8146145205476452, "precision": 0.8174711295837235, "recall": 0.8104503643591923 }
answerdotai/ModernBERT-large	17,524	4,381	{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 1, "lr_scheduler_type": "linear", "num_train_epochs": 1, "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407, "warmup_steps": 5, "weight_decay": 0.01 }	null	395,844,621	395,844,621	null	6886.18	648.9	{ "accuracy": 0.8427299703264095, "f1_macro": 0.717201496341446, "f1_weighted": 0.8399309483967907, "precision": 0.753381419061771, "recall": 0.6984358761194106 }
answerdotai/ModernBERT-large	17,524	4,381	{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 1, "lr_scheduler_type": "linear", "num_train_epochs": 1, "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407, "warmup_steps": 5, "weight_decay": 0.01 }	null	398,476,821	398,476,821	null	6901.78	660.37	{ "accuracy": 0.5119835653960283, "f1_macro": 0.08231988245386028, "f1_weighted": 0.4433997976948826, "precision": 0.08321908207453645, "recall": 0.09436029720418769 }

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