Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
qwen-qlora – AI Model by shashank0981 | AlphaNeural AI
You can deploy this model and start earning money today!
shashank0981
/
qwen-qlora
like
0
peft
safetensors
adapter
lora
transformers
text-generation
conversational
Qwen/Qwen2.5-3B-Instruct
other
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
qwen-qlora
This model is a fine-tuned version of
Qwen/Qwen2.5-3B-Instruct
on an unknown dataset.
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: 0.0002
train_batch_size: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.17.1
Transformers 4.55.2
Pytorch 2.11.0+cu128
Datasets 4.0.0
Tokenizers 0.21.4
