Model_name stringclasses 5
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 139M 264M | r int64 128 128 | Memory Allocation stringclasses 5
values | Training Time stringclasses 5
values | accuracy float64 0.9 0.91 | f1_macro float64 0.89 0.9 | f1_weighted float64 0.9 0.91 | precision float64 0.89 0.9 | recall float64 0.89 0.9 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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,
"learning_rate": 0.00005,
"lr_scheduler_type": "linear",
"m... | [
"down_proj",
"gate_proj",
"k_proj",
"o_proj",
"q_proj",
"up_proj",
"v_proj"
] | 4,286,092,288 | 264,274,432 | 128 | 6814.46 | 8213.7 | 0.903731 | 0.899682 | 0.903915 | 0.900841 | 0.898863 |
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 | 3531.27 | 3429.27 | 0.902387 | 0.897623 | 0.90257 | 0.899046 | 0.896562 |
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 | 4874.27 | 6213.48 | 0.906339 | 0.901593 | 0.906533 | 0.902153 | 0.901292 |
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 | 3843.49 | 3682.71 | 0.898277 | 0.893234 | 0.898518 | 0.894054 | 0.892787 |
Qwen/Qwen3-Embedding-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,
"learning_rate": 0.00005,
"lr_scheduler_type": "linear",
"m... | [
"down_proj",
"gate_proj",
"o_proj",
"up_proj"
] | 4,222,381,056 | 200,573,440 | 128 | 5833.54 | 7844.79 | 0.905944 | 0.901419 | 0.906181 | 0.902171 | 0.900992 |
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