Model_name stringclasses 1
value | Train_size int64 50.8k 50.8k | Test_size int64 12.7k 12.7k | arg dict | lora listlengths 5 5 | Parameters int64 413M 413M | Trainable_parameters int64 57.7M 57.7M | r int64 128 128 | Memory Allocation stringclasses 3
values | Training Time stringclasses 3
values | accuracy float64 0.87 0.87 | f1_macro float64 0.85 0.86 | f1_weighted float64 0.87 0.87 | precision float64 0.85 0.85 | recall float64 0.87 0.87 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
FacebookAI/roberta-large | 50,775 | 12,652 | {
"adafactor": false,
"adam_beta1": 0.9,
"adam_beta2": 0.999,
"adam_epsilon": 1e-8,
"bf16": false,
"fp16": false,
"fp16_opt_level": "O1",
"gradient_accumulation_steps": 4,
"half_precision_backend": "auto",
"label_smoothing_factor": 0,
"learning_rate": 0.00005,
"lr_scheduler_type": "linear",
"m... | [
"dense",
"value",
"out_proj",
"key",
"query"
] | 413,059,098 | 57,686,029 | 128 | 1251.42 | 1492.04 | 0.865081 | 0.853448 | 0.870179 | 0.852941 | 0.870543 |
FacebookAI/roberta-large | 50,775 | 12,652 | {
"adafactor": false,
"adam_beta1": 0.9,
"adam_beta2": 0.999,
"adam_epsilon": 1e-8,
"bf16": false,
"fp16": false,
"fp16_opt_level": "O1",
"gradient_accumulation_steps": 4,
"half_precision_backend": "auto",
"label_smoothing_factor": 0,
"learning_rate": 0.00005,
"lr_scheduler_type": "linear",
"m... | [
"dense",
"value",
"out_proj",
"key",
"query"
] | 413,059,098 | 57,686,029 | 128 | 1234.01 | 1498.12 | 0.866266 | 0.855261 | 0.87118 | 0.854582 | 0.871842 |
FacebookAI/roberta-large | 50,775 | 12,652 | {
"adafactor": false,
"adam_beta1": 0.9,
"adam_beta2": 0.999,
"adam_epsilon": 1e-8,
"bf16": false,
"fp16": false,
"fp16_opt_level": "O1",
"gradient_accumulation_steps": 4,
"half_precision_backend": "auto",
"label_smoothing_factor": 0,
"learning_rate": 0.00005,
"lr_scheduler_type": "linear",
"m... | [
"dense",
"value",
"out_proj",
"key",
"query"
] | 413,059,098 | 57,686,029 | 128 | 1233.64 | 1495.29 | 0.866266 | 0.855261 | 0.87118 | 0.854582 | 0.871842 |
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