metadata

library_name: transformers
license: llama2
base_model: llava-hf/LLaVA-NeXT-Video-7B-hf
tags:
  - generated_from_trainer
model-index:
  - name: sn-finetune-v3
    results: []

sn-finetune-v3

This model is a fine-tuned version of llava-hf/LLaVA-NeXT-Video-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: 2e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
training_steps: 80

Training results

Framework versions

Transformers 4.46.0
Pytorch 2.4.0+cu121
Datasets 3.1.0
Tokenizers 0.20.3