Beta
Explore
Marketplace
Neural Labs
Playground
Wallet
Docs
ru-promptriever-v0.2-optimized4b – AI Model by Vladimirlv | AlphaNeural AI
You can deploy this model and start earning money today!
Vladimirlv
/
ru-promptriever-v0.2-optimized4b
like
0
peft
safetensors
adapter
lora
transformers
text-generation
conversational
Qwen/Qwen3-4B
apache-2.0
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
ru-promptriever-v0.2-optimized4b
This model is a fine-tuned version of
Qwen/Qwen3-4B
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: 0.0001
train_batch_size: 8
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 8
total_train_batch_size: 128
total_eval_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: linear
lr_scheduler_warmup_steps: 100
num_epochs: 1
Training results
Framework versions
PEFT 0.18.1
Transformers 4.57.6
Pytorch 2.10.0+cu128
Datasets 2.21.0
Tokenizers 0.22.2
