Yi-6B-ruozhiba / 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-ruozhiba
    results: []

Yi-6B-ruozhiba

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: 4.2052

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
2.7672 1.0 55 2.3123
2.0304 2.0 110 1.9674
1.7981 3.0 165 1.9422
1.5825 4.0 220 2.0125
1.2811 5.0 275 2.2657
0.928 6.0 330 2.5271
0.6688 7.0 385 2.7800
0.4595 8.0 440 3.1072
0.3117 9.0 495 3.3261
0.242 10.0 550 3.5036
0.1718 11.0 605 3.6742
0.157 12.0 660 3.7895
0.1188 13.0 715 3.9184
0.1296 14.0 770 3.9965
0.1219 15.0 825 4.1147
0.1 16.0 880 4.1376
0.1155 17.0 935 4.1758
0.1083 18.0 990 4.2016
0.0961 19.0 1045 4.2047
0.0917 20.0 1100 4.2052

Framework versions

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