Model_name stringclasses 4
values | Train_size int64 50.8k 50.8k | Test_size int64 12.7k 12.7k | arg dict | lora listlengths 4 7 | Parameters int64 1.69B 4.29B | Trainable_parameters int64 0 199M | r int64 128 128 | Memory Allocation stringclasses 4
values | Training Time stringclasses 6
values | accuracy float64 0.09 0.91 | f1_macro float64 0.04 0.91 | f1_weighted float64 0.04 0.91 | precision float64 0.08 0.91 | recall float64 0.08 0.91 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Alibaba-NLP/E2Rank-4B | 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": 0.2,
"learning_rate": 0.00005,
"lr_scheduler_type": "linear",
... | [
"down_proj",
"gate_proj",
"k_proj",
"o_proj",
"q_proj",
"up_proj",
"v_proj"
] | 4,286,092,288 | 0 | 128 | 419.4 | 10510.42 | 0.087338 | 0.071706 | 0.075507 | 0.087314 | 0.083578 |
Qwen/Qwen2-1.5B | 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": 0.2,
"learning_rate": 0.00005,
"lr_scheduler_type": "linear",
... | [
"down_proj",
"gate_proj",
"k_proj",
"o_proj",
"q_proj",
"up_proj",
"v_proj"
] | 1,691,026,944 | 0 | 128 | 0.0 | 3845.78 | 0.099826 | 0.046763 | 0.053468 | 0.087559 | 0.085486 |
Qwen/Qwen2.5-3B-Instruct | 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": 0.2,
"learning_rate": 0.00005,
"lr_scheduler_type": "linear",
... | [
"down_proj",
"gate_proj",
"o_proj",
"up_proj"
] | 3,284,797,440 | 0 | 128 | 0.0 | 7865.82 | 0.086073 | 0.036767 | 0.037996 | 0.075135 | 0.079344 |
Qwen/Qwen2-1.5B | 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",
"k_proj",
"o_proj",
"q_proj",
"up_proj",
"v_proj"
] | 1,691,026,944 | 147,738,112 | 128 | 862.87 | 4214.69 | 0.909817 | 0.90597 | 0.909966 | 0.906352 | 0.905765 |
Qwen/Qwen2.5-3B-Instruct | 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"
] | 3,284,797,440 | 199,387,136 | 128 | 416.82 | 8428.78 | 0.911872 | 0.908004 | 0.912097 | 0.908339 | 0.907957 |
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",
"k_proj",
"o_proj",
"q_proj",
"up_proj",
"v_proj"
] | 1,859,542,016 | 139,487,232 | 128 | 0.0 | 4339.44 | 0.904679 | 0.900113 | 0.904864 | 0.900617 | 0.899836 |
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