Model_name
stringclasses 1
value | Train_size
int64 50.8k
50.8k
| Test_size
int64 12.7k
12.7k
| arg
dict | lora
listlengths 4
4
| Parameters
int64 1.73B
1.75B
| Trainable_parameters
int64 12.9M
25.7M
| r
int64 16
32
| Memory Allocation
stringclasses 2
values | Training Time
stringclasses 2
values | accuracy
float64 0.9
0.9
| f1_macro
float64 0.89
0.9
| f1_weighted
float64 0.9
0.9
| precision
float64 0.89
0.9
| recall
float64 0.89
0.9
|
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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",
"max_grad_norm": 1,
"max_steps": -1,
"n_gpu": 1,
"num_train_epochs": 1,
"optim": "adamw_8bit",
"optim_args": "Not have",
"per_device_eval_batch_size": 8,
"per_device_train_batch_size": 8,
"warmup_ratio": 0,
"warmup_steps": 5,
"weight_decay": 0.01
}
|
[
"down_proj",
"gate_proj",
"o_proj",
"up_proj"
] | 1,732,926,464
| 12,871,680
| 16
|
1777.36
|
2388.95
| 0.897012
| 0.892067
| 0.897255
| 0.892245
| 0.892177
|
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",
"max_grad_norm": 1,
"max_steps": -1,
"n_gpu": 1,
"num_train_epochs": 1,
"optim": "adamw_8bit",
"optim_args": "Not have",
"per_device_eval_batch_size": 8,
"per_device_train_batch_size": 8,
"warmup_ratio": 0,
"warmup_steps": 5,
"weight_decay": 0.01
}
|
[
"down_proj",
"gate_proj",
"o_proj",
"up_proj"
] | 1,745,771,520
| 25,716,736
| 32
|
1045.34
|
2416.42
| 0.900411
| 0.895759
| 0.900627
| 0.896732
| 0.895085
|
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