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update lora_a and lora_b
33f3da9
metadata
license: other
library_name: peft
tags:
  - llama-factory
  - lora
  - generated_from_trainer
base_model: /data1/model/llama2/meta-llama/Llama2-13b
model-index:
  - name: fuze_28_balance_no_sys
    results: []

fuze_28_balance_no_sys

This model is a fine-tuned version of /data1/model/llama2/meta-llama/Llama2-13b on the fuze_28_balance_no_sys dataset. It achieves the following results on the evaluation set:

  • Loss: 0.6174

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: 5e-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: cosine
  • lr_scheduler_warmup_steps: 20
  • num_epochs: 2.0

Training results

Training Loss Epoch Step Validation Loss
0.9806 0.4355 3000 0.6490
0.753 0.8711 6000 0.6240
0.5062 1.3066 9000 0.6196
0.7913 1.7422 12000 0.6174

Framework versions

  • PEFT 0.10.0
  • Transformers 4.40.0
  • Pytorch 2.2.1
  • Datasets 2.18.0
  • Tokenizers 0.19.1