Model_name stringclasses 2
values | Train_size int64 50.8k 50.8k | Test_size int64 12.7k 12.7k | arg dict | lora listlengths 5 5 | Parameters int64 413M 596M | Trainable_parameters int64 36.5M 57.7M | r int64 80 128 | Memory Allocation stringclasses 2
values | Training Time stringclasses 2
values | Performance dict |
|---|---|---|---|---|---|---|---|---|---|---|
FacebookAI/roberta-large | 50,775 | 12,652 | {
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 200,
"lr_scheduler_type": "linear",
"num_train_epochs": 1,
"optim": "adamw_8bit",
"output_dir": "outputs",
"report_to": "none",
"save_strategy": "no",
"save_total_limit": 0,
"seed": 3407,... | [
"dense",
"value",
"out_proj",
"key",
"query"
] | 413,060,122 | 57,686,029 | 128 | 1250.36 | 813.3 | {
"accuracy": 0.8973284856149225,
"f1_macro": 0.8935251548046368,
"f1_weighted": 0.8974622260961547,
"precision": 0.8945874627995571,
"recall": 0.8926134096960868
} |
FacebookAI/xlm-roberta-large | 50,775 | 12,652 | {
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 200,
"lr_scheduler_type": "linear",
"num_train_epochs": 1,
"optim": "adamw_8bit",
"output_dir": "outputs",
"report_to": "none",
"save_strategy": "no",
"save_total_limit": 0,
"seed": 3407,... | [
"dense",
"value",
"out_proj",
"key",
"query"
] | 596,357,146 | 36,452,365 | 80 | 1099.47 | 919.42 | {
"accuracy": 0.8968542522921277,
"f1_macro": 0.8926019280203985,
"f1_weighted": 0.8970282030125045,
"precision": 0.894015788467443,
"recall": 0.8914404243749837
} |
README.md exists but content is empty.
- Downloads last month
- 1