Yi-6B-zhihu7 / README.md
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metadata
license: other
library_name: peft
tags:
  - alignment-handbook
  - generated_from_trainer
  - trl
  - sft
  - generated_from_trainer
datasets:
  - zhihu
base_model: 01-ai/Yi-6B
model-index:
  - name: Yi-6B-zhihu7
    results: []

Yi-6B-zhihu7

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

  • Loss: 2.5970

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-06
  • train_batch_size: 8
  • 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
2.6831 1.0 96 2.6346
2.6684 2.0 192 2.6288
2.687 3.0 288 2.6192
2.6597 4.0 384 2.6109
2.6019 5.0 480 2.6054
2.6118 6.0 576 2.6022
2.7286 7.0 672 2.6001
2.6341 8.0 768 2.5987
2.572 9.0 864 2.5979
2.622 10.0 960 2.5974
2.6404 11.0 1056 2.5972
2.6607 12.0 1152 2.5971
2.5324 13.0 1248 2.5971
2.5472 14.0 1344 2.5970
2.539 15.0 1440 2.5970
2.5757 16.0 1536 2.5971
2.6495 17.0 1632 2.5970
2.5647 18.0 1728 2.5970
2.5605 19.0 1824 2.5970
2.6608 20.0 1920 2.5970

Framework versions

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