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: 4.1672

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
2.0998 1.0 55 2.0215
1.7439 2.0 110 1.8371
1.7017 3.0 165 1.8182
1.3662 4.0 220 1.9196
1.0344 5.0 275 2.2265
0.6959 6.0 330 2.5187
0.4353 7.0 385 2.8303
0.2736 8.0 440 3.1702
0.1598 9.0 495 3.3739
0.117 10.0 550 3.4964
0.0856 11.0 605 3.6468
0.0681 12.0 660 3.8002
0.058 13.0 715 3.9182
0.0532 14.0 770 4.0117
0.0443 15.0 825 4.0919
0.0461 17.0 935 4.1480
0.0465 18.0 990 4.1622
0.049 19.0 1045 4.1667
0.0416 20.0 1100 4.1672

Framework versions

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