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lora_causalLM

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metadata
base_model: vlsp-2023-vllm/hoa-1b4
datasets:
  - eli5_category
library_name: peft
license: bigscience-bloom-rail-1.0
tags:
  - generated_from_trainer
model-index:
  - name: lora_causalLM
    results: []

lora_causalLM

This model is a fine-tuned version of vlsp-2023-vllm/hoa-1b4 on the eli5_category dataset. It achieves the following results on the evaluation set:

  • Loss: 3.0427

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: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3.0

Training results

Training Loss Epoch Step Validation Loss
No log 1.0 203 3.0643
No log 2.0 406 3.0469
3.0375 3.0 609 3.0427

Framework versions

  • PEFT 0.12.0
  • Transformers 4.44.0
  • Pytorch 2.4.0
  • Datasets 2.21.0
  • Tokenizers 0.19.1