Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
io-autocoder – AI Model by Jiahuixu | AlphaNeural AI
You can deploy this model and start earning money today!
Jiahuixu
/
io-autocoder
like
0
peft
tensorboard
safetensors
generated_from_trainer
meta-llama/Meta-Llama-3-8B-Instruct
adapter
llama3
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
io-autocoder
This model is a fine-tuned version of
meta-llama/Meta-Llama-3-8B-Instruct
on the None 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: 2e-05
train_batch_size: 10
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 6
total_train_batch_size: 60
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: linear
num_epochs: 10
Training results
Framework versions
PEFT 0.15.2
Transformers 4.52.4
Pytorch 2.7.0+cu126
Datasets 3.6.0
Tokenizers 0.21.1