chatglm3-6b_sa_v0.1 / README.md
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metadata
license: other
library_name: peft
tags:
  - llama-factory
  - lora
  - generated_from_trainer
base_model: THUDM/chatglm3-6b
model-index:
  - name: LangGPT
    results: []

LangGPT

This model is a fine-tuned version of /datas/huangyijie/my_model/chatglm3-6b on the LangGPT dataset. It achieves the following results on the evaluation set:

  • Loss: 0.8991

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: 12
  • eval_batch_size: 4
  • seed: 42
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 96
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_steps: 20
  • num_epochs: 9.0
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
1.0558 1.25 100 1.0500
0.9566 2.5 200 0.9630
0.9082 3.75 300 0.9288
0.8992 5.0 400 0.9108
0.8874 6.25 500 0.9028
0.8835 7.5 600 0.8997
0.8912 8.75 700 0.8991

Framework versions

  • PEFT 0.10.0
  • Transformers 4.40.1
  • Pytorch 2.2.0+cu121
  • Datasets 2.16.1
  • Tokenizers 0.19.1