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ohthisischichi/viet-cultural-qa-qwen2.5-lora

sourceHugging Faceotherupdated 4mo agoView on Hugging Face
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Model Card

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viet-cultural-qa-qwen2.5-lora

This model is a fine-tuned version of Qwen/Qwen2.5-3B-Instruct on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.6759

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: 0.0002
  • —trainbatchsize: 8
  • —evalbatchsize: 8
  • —seed: 42
  • —gradientaccumulationsteps: 2
  • —totaltrainbatch_size: 16
  • —optimizer: Use OptimizerNames.PAGEDADAMW with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
  • —lrschedulertype: linear
  • —num_epochs: 2
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation Loss
0.86290.06162000.8580
0.78440.12334000.8019
0.73110.18496000.7703
0.73290.24658000.7493
0.70790.308210000.7341
0.69020.369812000.7232
0.68880.431414000.7133
0.69970.493116000.7049
0.67090.554718000.6994
0.65910.616320000.6946
0.67280.678022000.6895
0.66290.739624000.6857
0.64890.801226000.6828
0.65130.862928000.6793
0.63340.924530000.6772
0.64050.986132000.6761
0.61481.032450.6759

Framework versions

  • —PEFT 0.19.1
  • —Transformers 5.8.1
  • —Pytorch 2.10.0+cu128
  • —Datasets 4.8.5
  • —Tokenizers 0.22.2