Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
deepseek-math-7b-instruct-Qasper – AI Model by jahyungu | AlphaNeural AI
You can deploy this model and start earning money today!
jahyungu
/
deepseek-math-7b-instruct-Qasper
like
0
peft
safetensors
adapter
lora
transformers
text-generation
conversational
deepseek-ai/deepseek-math-7b-instruct
other
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
deepseek-math-7b-instruct-Qasper
This model is a fine-tuned version of
deepseek-ai/deepseek-math-7b-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: 4
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 4
total_train_batch_size: 32
total_eval_batch_size: 16
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: constant
lr_scheduler_warmup_ratio: 0.03
num_epochs: 3
Training results
Framework versions
PEFT 0.18.1
Transformers 4.56.0
Pytorch 2.10.0+cu130
Datasets 2.21.0
Tokenizers 0.22.2
