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Yi-6B-ruozhiba-1e-5-50

PEFT
Safetensors
llama
alignment-handbook
Generated from Trainer
trl
sft
4-bit precision
bitsandbytes
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Yi-6B-ruozhiba-1e-5-50 / 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-1e-5-50
    results: []

Yi-6B-ruozhiba-1e-5-50

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: 1.9848

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: 1e-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: 10

Training results

Training Loss Epoch Step Validation Loss
2.6749 1.0 55 2.5387
2.0502 3.0 165 2.0924
1.953 4.0 220 2.0381
1.9412 5.0 275 2.0098
1.9044 6.0 330 1.9949
1.9567 7.0 385 1.9889
1.9235 8.0 440 1.9856
1.8121 9.0 495 1.9849
1.874 10.0 550 1.9848

Framework versions

  • PEFT 0.7.1
  • Transformers 4.36.2
  • Pytorch 2.3.0+cu121
  • Datasets 2.14.6
  • Tokenizers 0.15.2