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: 4.2495

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 2.2811
1.9483 2.0 110 1.9384
1.7791 3.0 165 1.9109
1.6053 4.0 220 1.9560
1.3206 5.0 275 2.1674
0.9722 6.0 330 2.4236
0.7026 7.0 385 2.6935
0.4776 8.0 440 3.0005
0.3163 9.0 495 3.2703
0.2355 10.0 550 3.4524
0.1489 11.0 605 3.6805
0.1179 12.0 660 3.7960
0.0712 13.0 715 3.9715
0.0782 14.0 770 4.0284
0.0691 15.0 825 4.1576
0.0486 16.0 880 4.1690
0.0639 17.0 935 4.2094
0.0589 18.0 990 4.2436
0.042 19.0 1045 4.2491
0.0405 20.0 1100 4.2495

Framework versions

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