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Adding Evaluation Results (#1)
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metadata
license: other
library_name: peft
tags:
  - llama-factory
  - lora
  - generated_from_trainer
base_model: Qwen/Qwen1.5-7B-Chat
model-index:
  - name: Qwen1.5-7B-Chat
    results: []

Qwen1.5-7B-Chat

This model is a fine-tuned version of /datas/huggingface/Qwen1.5-7B-Chat on the LangGPT_community, the LangGPT_alpaca and the LangGPT_seed datasets.

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: 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
  • num_epochs: 5.0
  • mixed_precision_training: Native AMP

Training results

Framework versions

  • PEFT 0.10.0
  • Transformers 4.40.2
  • Pytorch 2.3.0+cu121
  • Datasets 2.19.1
  • Tokenizers 0.19.1

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric Value
Avg. 16.58
IFEval (0-Shot) 42.68
BBH (3-Shot) 20.30
MATH Lvl 5 (4-Shot) 3.02
GPQA (0-shot) 8.28
MuSR (0-shot) 3.06
MMLU-PRO (5-shot) 22.14