README.md

metadata

base_model: microsoft/Phi-3.5-vision-instruct
library_name: peft
license: mit
tags:
  - generated_from_trainer
model-index:
  - name: phi3.5-vision-ai701
    results: []

phi3.5-vision-ai701

This model is a fine-tuned version of microsoft/Phi-3.5-vision-instruct 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: 0.0001
• train_batch_size: 1
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 8
• 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: linear
• lr_scheduler_warmup_steps: 50
• num_epochs: 1

Training results

Framework versions

• PEFT 0.12.0
• Transformers 4.46.2
• Pytorch 2.4.0
• Datasets 3.0.0
• Tokenizers 0.20.3