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experiments_23cau

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metadata
license: llama2
library_name: peft
tags:
  - generated_from_trainer
base_model: vilm/vinallama-7b-chat
model-index:
  - name: experiments_23cau
    results: []

experiments_23cau

This model is a fine-tuned version of vilm/vinallama-7b-chat on the None 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: 4
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 2
  • mixed_precision_training: Native AMP

Training results

Framework versions

  • PEFT 0.11.1
  • Transformers 4.36.0
  • Pytorch 2.3.0+cu121
  • Datasets 2.19.1
  • Tokenizers 0.15.2