README.md

metadata

library_name: peft
tags:
  - trl
  - sft
  - generated_from_trainer
base_model: meta-llama/Llama-2-7b-hf
model-index:
  - name: Llama-2-7b-hf-platypus_v3
    results: []

Llama-2-7b-hf-platypus_v3

This model is a fine-tuned version of meta-llama/Llama-2-7b-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: 0.0003
• train_batch_size: 2
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 8
• total_train_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_steps: 100
• num_epochs: 1
• mixed_precision_training: Native AMP

Training results

Framework versions

• PEFT 0.8.2
• Transformers 4.37.1
• Pytorch 2.2.0+cu121
• Datasets 2.14.6
• Tokenizers 0.15.1