metadata

library_name: transformers
license: mit
base_model: microsoft/Phi-3.5-vision-instruct
tags:
  - generated_from_trainer
model-index:
  - name: Phi-3.5-vision-instruct_20240915_223241
    results: []

Phi-3.5-vision-instruct_20240915_223241

This model is a fine-tuned version of microsoft/Phi-3.5-vision-instruct on the None dataset.

Model description

On 1.8M avg dataset

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: 4e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 2
total_train_batch_size: 16
total_eval_batch_size: 8
optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-07
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 50
num_epochs: 4
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.0
Tokenizers 0.19.1