| Quantization made by Richard Erkhov. | |
| [Github](https://github.com/RichardErkhov) | |
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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 | |