selfrag-lora / README.md
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metadata
base_model: mrs-7b
tags:
  - alignment-handbook
  - generated_from_trainer
datasets:
  - gpt4_reward_with_format
model-index:
  - name: zephyr-7b-sft-lora
    results: []

zephyr-7b-sft-lora

This model is a fine-tuned version of zephyr-7b on the gpt4_reward. It achieves the following results on the evaluation set:

  • Loss: 0.0911

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: 3
  • eval_batch_size: 2
  • seed: 42
  • distributed_type: multi-GPU
  • gradient_accumulation_steps: 64
  • total_train_batch_size: 192
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss
0.1001 1.0 219 0.1006
0.0969 2.0 439 0.0930
0.0795 2.99 657 0.0911

Framework versions

  • Transformers 4.35.0
  • Pytorch 2.1.1+cu121
  • Datasets 2.14.6
  • Tokenizers 0.14.1