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End of training
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metadata
base_model: HuggingFaceM4/Idefics3-8B-Llama3
library_name: peft
license: apache-2.0
tags:
  - generated_from_trainer
model-index:
  - name: idefics3-llama-ai701
    results: []

idefics3-llama-ai701

This model is a fine-tuned version of HuggingFaceM4/Idefics3-8B-Llama3 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_8BIT 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