Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
mistral-automated-qapairs-finetuned – AI Model by krenard | AlphaNeural AI
You can deploy this model and start earning money today!
krenard
/
mistral-automated-qapairs-finetuned
like
0
peft
safetensors
generated_from_trainer
mistralai/Mistral-7B-Instruct-v0.3
adapter
apache-2.0
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
mistral-automated-qapairs-finetuned
This model is a fine-tuned version of
mistralai/Mistral-7B-Instruct-v0.3
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: 5e-06
train_batch_size: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 16
optimizer: Use adamw_bnb_8bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.14.0
Transformers 4.48.0
Pytorch 2.1.0+cu118
Datasets 3.2.0
Tokenizers 0.21.0
