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 0.91 0.91 | f1_macro float64 0.9 0.91 | f1_weighted float64 0.91 0.91 | precision float64 0.9 0.91 | recall float64 0.9 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": 0.1,
"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 | 264,274,432 | 128 | 5756.15 | 3575.03 | 0.91116 | 0.907869 | 0.911354 | 0.908772 | 0.90724 |
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": 0.1,
"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 | 147,738,112 | 128 | 2944.82 | 2243.07 | 0.91037 | 0.906461 | 0.910535 | 0.907335 | 0.90584 |
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": 0.1,
"learning_rate": 0.00005,
"lr_scheduler_type": "linear",
... | [
"down_proj",
"gate_proj",
"o_proj",
"up_proj"
] | 3,284,797,440 | 199,387,136 | 128 | 3263.03 | 2661.95 | 0.91116 | 0.907066 | 0.911388 | 0.907375 | 0.907002 |
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": 0.1,
"learning_rate": 0.00005,
"lr_scheduler_type": "linear",
... | [
"down_proj",
"gate_proj",
"k_proj",
"o_proj",
"q_proj",
"up_proj",
"v_proj"
] | 1,859,542,016 | 139,487,232 | 128 | 2908.25 | 2467.88 | 0.907208 | 0.90314 | 0.907378 | 0.904071 | 0.902447 |
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": 0.1,
"learning_rate": 0.00005,
"lr_scheduler_type": "linear",
... | [
"down_proj",
"gate_proj",
"o_proj",
"up_proj"
] | 4,222,381,056 | 200,573,440 | 128 | 4721.38 | 3359.6 | 0.912504 | 0.90855 | 0.912723 | 0.90932 | 0.908026 |
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