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llava-bddx-finetuned

PEFT
Safetensors
llava
BDD-X
Autonomous-Driving
trl
sft
Generated from Trainer
4-bit precision
bitsandbytes
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llava-bddx-finetuned / README.md
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metadata
base_model: llava-hf/llava-1.5-7b-hf
library_name: peft
tags:
  - BDD-X
  - Autonomous-Driving
  - trl
  - sft
  - generated_from_trainer
model-index:
  - name: llava-bddx-finetuned
    results: []

llava-bddx-finetuned

This model is a fine-tuned version of llava-7b-v1.5 on the BDD-X-dataset 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: 4
  • eval_batch_size: 4
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 1
  • mixed_precision_training: Native AMP

Training results

Framework versions

  • PEFT 0.12.0
  • Transformers 4.44.2
  • Pytorch 2.4.1+cu121
  • Datasets 3.0.0
  • Tokenizers 0.19.1