Model_name stringclasses 7
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 94.4M 264M | r int64 64 128 | Memory Allocation stringclasses 7
values | Training Time stringclasses 7
values | accuracy float64 0.89 0.91 | f1_macro float64 0.89 0.9 | f1_weighted float64 0.89 0.91 | precision float64 0.89 0.9 | recall float64 0.89 0.9 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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 | 3220.9 | 3551.25 | 0.903889 | 0.89879 | 0.904078 | 0.900292 | 0.897712 |
tiiuae/Falcon3-3B-Base | 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"
] | 2,946,192,384 | 121,150,464 | 128 | 3748.23 | 4739.51 | 0.893851 | 0.888252 | 0.894001 | 0.889509 | 0.887294 |
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 | 2635.84 | 6106.92 | 0.907999 | 0.903711 | 0.908205 | 0.904245 | 0.903441 |
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 | 4452.74 | 6253.62 | 0.905944 | 0.901486 | 0.906053 | 0.902608 | 0.900617 |
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 | 6251.01 | 7701.46 | 0.905865 | 0.901585 | 0.906051 | 0.902771 | 0.900766 |
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 | 5414.84 | 8061.25 | 0.904047 | 0.899516 | 0.904296 | 0.900243 | 0.899152 |
facebook/opt-2.7b | 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... | [
"fc1",
"fc2",
"k_proj",
"out_proj",
"q_proj",
"v_proj"
] | 2,746,017,280 | 94,405,120 | 64 | 3003.24 | 8609.93 | 0.904442 | 0.900138 | 0.904588 | 0.900011 | 0.900469 |
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