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: 4.1874

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
2.7671 1.0 55 2.3123
2.0319 2.0 110 1.9679
1.7972 3.0 165 1.9426
1.5841 4.0 220 2.0110
1.2842 5.0 275 2.2671
0.9305 6.0 330 2.5263
0.6734 7.0 385 2.7798
0.4579 8.0 440 3.1052
0.3091 9.0 495 3.3409
0.2418 10.0 550 3.4999
0.1718 11.0 605 3.6688
0.1555 12.0 660 3.7819
0.1191 13.0 715 3.9108
0.1291 14.0 770 3.9953
0.1213 15.0 825 4.1020
0.1 16.0 880 4.1205
0.115 17.0 935 4.1606
0.1076 18.0 990 4.1839
0.0962 19.0 1045 4.1873
0.0917 20.0 1100 4.1874

Framework versions

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