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idefics-9b-doodles

PEFT
Safetensors
idefics
Generated from Trainer
4-bit precision
bitsandbytes
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idefics-9b-doodles / README.md
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metadata
base_model: HuggingFaceM4/idefics-9b
library_name: peft
license: other
tags:
  - generated_from_trainer
model-index:
  - name: idefics-9b-doodles
    results: []

idefics-9b-doodles

This model is a fine-tuned version of HuggingFaceM4/idefics-9b 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: 0.0002
  • train_batch_size: 2
  • eval_batch_size: 2
  • seed: 42
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • training_steps: 25
  • mixed_precision_training: Native AMP

Training results

Framework versions

  • PEFT 0.12.0
  • Transformers 4.44.2
  • Pytorch 2.4.1+cu121
  • Datasets 2.21.0
  • Tokenizers 0.19.1