Beta
Explore
Marketplace
Neural Labs
Playground
Wallet
Docs
qwen3-8b-xquad-lora-hi – AI Model by xummer | AlphaNeural AI
You can deploy this model and start earning money today!
xummer
/
qwen3-8b-xquad-lora-hi
like
0
peft
safetensors
adapter
llama-factory
lora
transformers
text-generation
conversational
Qwen/Qwen3-8B
other
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
hi
This model is a fine-tuned version of
Qwen/Qwen3-8B
on the xquad_hi_train dataset. It achieves the following results on the evaluation set:
Loss: 0.1807
Accuracy: 0.9482
Mcq Accuracy: 0.7479
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: 0.00015
train_batch_size: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 0.1
num_epochs: 3.0
Training results
Framework versions
PEFT 0.18.1
Transformers 5.2.0
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
