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End of training
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metadata
library_name: peft
tags:
  - trl
  - sft
  - generated_from_trainer
base_model: llava-hf/llava-1.5-7b-hf
model-index:
  - name: llava-1.5-7b-hf-ft-bill
    results: []

llava-1.5-7b-hf-ft-bill

This model is a fine-tuned version of llava-hf/llava-1.5-7b-hf 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: 1.4e-05
  • train_batch_size: 2
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 5
  • mixed_precision_training: Native AMP

Training results

Framework versions

  • PEFT 0.10.0
  • Transformers 4.40.2
  • Pytorch 2.1.2
  • Datasets 2.18.0
  • Tokenizers 0.19.1