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Yi-6B-ruozhiba

PEFT
Safetensors
llama
alignment-handbook
Generated from Trainer
trl
sft
4-bit precision
bitsandbytes
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Yi-6B-ruozhiba / README.md
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metadata
license: other
library_name: peft
tags:
  - trl
  - sft
  - generated_from_trainer
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 None dataset. It achieves the following results on the evaluation set:

  • Loss: 2.2134

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: 5

Training results

Training Loss Epoch Step Validation Loss
1.948 1.0 217 1.9488
1.7781 2.0 434 1.9393
1.4563 3.0 651 2.0187
1.3206 4.0 868 2.1767
1.1018 5.0 1085 2.2134

Framework versions

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