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metadata
library_name: peft
tags:
  - trl
  - sft
  - generated_from_trainer
datasets:
  - generator
base_model: NousResearch/Llama-2-7b-hf
model-index:
  - name: llama2-7b-int4-dolly-15k-english-flash-attention2-w-packing
    results: []

llama2-7b-int4-dolly-15k-english-flash-attention2-w-packing

This model is a fine-tuned version of NousResearch/Llama-2-7b-hf on the generator dataset. It achieves the following results on the evaluation set:

  • Loss: 1.2201

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: 6
  • eval_batch_size: 4
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • num_epochs: 3
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
1.2688 0.64 100 1.2310
1.1907 1.27 200 1.2219
1.178 1.91 300 1.2170
1.1368 2.55 400 1.2201

Framework versions

  • PEFT 0.7.2.dev0
  • Transformers 4.37.0.dev0
  • Pytorch 2.1.0+cu121
  • Datasets 2.16.2.dev0
  • Tokenizers 0.15.0