bt4103_model_finance_trainer

This model is a fine-tuned version of unsloth/phi-3.5-mini-instruct-bnb-4bit on the sujet-ai/Sujet-Finance-Instruct-177k dataset (https://huggingface.co/datasets/sujet-ai/Sujet-Finance-Instruct-177k).

Model description

SLM saved as its orignal full model.

Model Details

Model is used for BT4103 Capstone Project.

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
• training_steps: 60
• mixed_precision_training: Native AMP

Framework versions

• PEFT 0.12.0
• Transformers 4.44.2
• Pytorch 2.4.0+cu121
• Datasets 3.0.0
• Tokenizers 0.19.1