Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
m2_dpo_trained_with_eval_suit_without_merged – AI Model by qayemmehdi | AlphaNeural AI
You can deploy this model and start earning money today!
qayemmehdi
/
m2_dpo_trained_with_eval_suit_without_merged
like
0
peft
safetensors
llama-factory
lora
generated_from_trainer
qayemmehdi/mnlp_sft_0.8_0.1333
adapter
other
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
save2
This model is a fine-tuned version of
qayemmehdi/mnlp_sft
on the new_dpo_dataset 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: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
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: cosine
lr_scheduler_warmup_ratio: 0.05
num_epochs: 1
Training results
Framework versions
PEFT 0.15.2
Transformers 4.52.1
Pytorch 2.5.1+cu124
Datasets 3.2.0
Tokenizers 0.21.0
