Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
LLaMA-Pro-8B-Instruct-GPTQ_1200steps_constant – AI Model by iagoalves | AlphaNeural AI
You can deploy this model and start earning money today!
iagoalves
/
LLaMA-Pro-8B-Instruct-GPTQ_1200steps_constant
like
0
peft
safetensors
trl
sft
generated_from_trainer
TheBloke/LLaMA-Pro-8B-Instruct-GPTQ
adapter
llama2
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
LLaMA-Pro-8B-Instruct-GPTQ_1200steps_constant
This model is a fine-tuned version of
TheBloke/LLaMA-Pro-8B-Instruct-GPTQ
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: 0.0002
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 3
total_train_batch_size: 24
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_ratio: 0.3
training_steps: 1200
Training results
Framework versions
PEFT 0.7.1
Transformers 4.36.2
Pytorch 2.1.0a0+32f93b1
Datasets 2.16.1
Tokenizers 0.15.0
