Model_name stringclasses 2
values | Train_size int64 100 100 | Test_size int64 10 10 | arg dict | lora listlengths 3 8 | Parameters int64 409M 912M | Trainable_parameters int64 1.77M 161M | r int64 8 8 | Memory Allocation stringclasses 2
values | Training Time stringclasses 2
values | Performance dict |
|---|---|---|---|---|---|---|---|---|---|---|
facebook/bart-large-mnli | 100 | 10 | {
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 1,
"lr_scheduler_type": "linear",
"num_train_epochs": 1,
"optim": "adamw_8bit",
"output_dir": "outputs",
"per_device_train_batch_size": null,
"report_to": "none",
"save_strategy": "no",
"save_total_limit": 0,
"seed": 3407,
"warmup_steps": 5,
"weight_decay": 0.01
} | [
"k_proj",
"q_proj",
"v_proj"
] | 409,124,878 | 1,769,472 | 8 | 1950.61 | 14.32 | {
"accuracy": 0.1,
"f1_macro": 0.027777777777777776,
"f1_weighted": 0.05,
"precision": 0.018518518518518517,
"recall": 0.05555555555555555
} |
unsloth/Qwen3-0.6B-unsloth-bnb-4bit | 100 | 10 | {
"auto_find_batch_size": null,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00002,
"logging_steps": 10,
"lr_scheduler_type": "linear",
"num_train_epochs": 1,
"optim": "adamw_8bit",
"output_dir": "outputs",
"per_device_train_batch_size": 8,
"report_to": "none",
"save_strategy": null,
"save_total_limit": null,
"seed": 3407,
"warmup_steps": 5,
"weight_decay": 0.01
} | [
"down_proj",
"gate_proj",
"k_proj",
"lm_head",
"o_proj",
"q_proj",
"up_proj",
"v_proj"
] | 912,261,120 | 160,628,736 | 8 | 3303.32 | 59.48 | {
"accuracy": 0,
"f1_macro": 0,
"f1_weighted": 0,
"precision": 0,
"recall": 0
} |
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