Model_name stringclasses 1
value | Train_size int64 50.8k 50.8k | Test_size int64 12.7k 12.7k | arg dict | lora listlengths 4 4 | Parameters int64 1.73B 1.75B | Trainable_parameters int64 12.9M 25.7M | r int64 16 32 | Memory Allocation stringclasses 2
values | Training Time stringclasses 2
values | accuracy float64 0.9 0.9 | f1_macro float64 0.89 0.9 | f1_weighted float64 0.9 0.9 | precision float64 0.89 0.9 | recall float64 0.89 0.9 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Qwen/Qwen3-1.7B | 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... | [
"down_proj",
"gate_proj",
"o_proj",
"up_proj"
] | 1,732,926,464 | 12,871,680 | 16 | 1777.36 | 2388.95 | 0.897012 | 0.892067 | 0.897255 | 0.892245 | 0.892177 |
Qwen/Qwen3-1.7B | 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... | [
"down_proj",
"gate_proj",
"o_proj",
"up_proj"
] | 1,745,771,520 | 25,716,736 | 32 | 1045.34 | 2416.42 | 0.900411 | 0.895759 | 0.900627 | 0.896732 | 0.895085 |
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