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 1.55B 4.05B | Trainable_parameters int64 8.43M 29.9M | r int64 16 64 | Memory Allocation stringclasses 5
values | Training Time stringclasses 5
values | accuracy float64 0.9 0.91 | f1_macro float64 0.9 0.91 | f1_weighted float64 0.9 0.91 | precision float64 0.9 0.91 | recall float64 0.9 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"
] | 4,041,964,032 | 20,146,176 | 64 | 5040.2 | 9146.52 | 0.905311 | 0.900558 | 0.905472 | 0.900991 | 0.900387 |
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",
"o_proj",
"up_proj"
] | 1,551,718,400 | 8,429,568 | 32 | 1636.5 | 3266.55 | 0.904284 | 0.899668 | 0.904377 | 0.901096 | 0.898479 |
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",
"k_proj",
"o_proj",
"q_proj",
"up_proj",
"v_proj"
] | 3,097,667,584 | 12,257,280 | 64 | 3325.8 | 6992.7 | 0.905153 | 0.900204 | 0.905366 | 0.900897 | 0.899832 |
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"
] | 1,749,644,288 | 29,589,504 | 16 | 590.25 | 3689.33 | 0.901122 | 0.896517 | 0.901346 | 0.897296 | 0.896133 |
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"
] | 4,051,667,456 | 29,859,840 | 32 | 4275.78 | 8737.82 | 0.909263 | 0.905373 | 0.909449 | 0.906621 | 0.904414 |
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