Yi-6B-ruozhiba3 / README.md
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metadata
license: other
library_name: peft
tags:
  - alignment-handbook
  - generated_from_trainer
  - trl
  - sft
  - generated_from_trainer
datasets:
  - ruozhiba
base_model: 01-ai/Yi-6B
model-index:
  - name: Yi-6B-ruozhiba3
    results: []

Yi-6B-ruozhiba3

This model is a fine-tuned version of 01-ai/Yi-6B on the ruozhiba dataset. It achieves the following results on the evaluation set:

  • Loss: 3.9909

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_ratio: 0.1
  • num_epochs: 20

Training results

Training Loss Epoch Step Validation Loss
2.644 1.0 55 2.3047
1.9548 2.0 110 1.9419
1.788 3.0 165 1.9135
1.6342 4.0 220 1.9499
1.3781 5.0 275 2.1321
1.0617 6.0 330 2.3518
0.8104 7.0 385 2.6090
0.5864 8.0 440 2.8890
0.4159 9.0 495 3.1356
0.3344 10.0 550 3.3190
0.2446 11.0 605 3.5470
0.199 12.0 660 3.6840
0.1245 13.0 715 3.7653
0.1208 14.0 770 3.8722
0.1003 15.0 825 3.9575
0.0767 16.0 880 3.9671
0.0913 17.0 935 3.9921
0.0895 18.0 990 3.9940
0.0671 19.0 1045 3.9915
0.0671 20.0 1100 3.9909

Framework versions

  • PEFT 0.7.1
  • Transformers 4.36.2
  • Pytorch 2.2.2+cu118
  • Datasets 2.14.6
  • Tokenizers 0.15.2