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Phi-3.5-vision-instruct_20240915_223241 - AWQ
- Model creator: https://huggingface.co/muhtasham/
- Original model: https://huggingface.co/muhtasham/Phi-3.5-vision-instruct_20240915_223241/
Original model description:
---
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: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Phi-3.5-vision-instruct_20240915_223241
This model is a fine-tuned version of [microsoft/Phi-3.5-vision-instruct](https://huggingface.co/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
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