XBRL-LoRA300k-PlanB – AI Model by Ben16001 | AlphaNeural AI

You can deploy this model and start earning money today!

Ben16001/
XBRL-LoRA300k-PlanB

like

0

text-generation

Qwen/Qwen3-4B-Instruct-2507

Views

No views yet

XBRL-LoRA300k-PlanB

This model is a fine-tuned version of Qwen/Qwen3-4B-Instruct-2507 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0307

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 6.426829614559691e-05
train_batch_size: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 0.03
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
0.0475	0.1067	1000	0.0546
0.0397	0.2133	2000	0.0423
0.0360	0.32	3000	0.0371
0.0315	0.4267	4000	0.0338
0.0286	0.5333	5000	0.0353
0.0247	0.64	6000	0.0326
0.0248	0.7467	7000	0.0324
0.0236	0.8533	8000	0.0308
0.0233	0.96	9000	0.0307

Framework versions

PEFT 0.18.1
Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2