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summary-journals-phi3.5-lora-adapter – AI Model by HaiderKH | AlphaNeural AI

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HaiderKH/
summary-journals-phi3.5-lora-adapter

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summary-journals-phi3.5-lora-adapter

This model is a fine-tuned version of unsloth/phi-3.5-mini-instruct-bnb-4bit 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: 2
eval_batch_size: 8
seed: 3407
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 5
num_epochs: 2
mixed_precision_training: Native AMP

Training results

Framework versions

PEFT 0.13.0
Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.19.1