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hoa-7b-test-lora

This model is a fine-tuned version of vlsp-2023-vllm/hoa-7b on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 12.4488

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: 2e-05
  • train_batch_size: 1
  • eval_batch_size: 1
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss
12.7539 1.0 401 12.4488
12.8935 2.0 802 12.4488
12.9284 3.0 1203 12.4488

Framework versions

  • Transformers 4.34.0
  • Pytorch 2.0.1+cu117
  • Datasets 2.12.0
  • Tokenizers 0.14.1
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