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metadata
license: afl-3.0
library_name: peft
tags:
  - trl
  - sft
  - generated_from_trainer
base_model: Viet-Mistral/Vistral-7B-Chat
datasets:
  - generator
model-index:
  - name: vietnamese-news-summarization-vistral-7b
    results: []

Visualize in Weights & Biases

vietnamese-news-summarization-vistral-7b

This model is a fine-tuned version of Viet-Mistral/Vistral-7B-Chat on the generator dataset. It achieves the following results on the evaluation set:

  • Loss: 1.2452

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
  • train_batch_size: 4
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: constant
  • lr_scheduler_warmup_steps: 0.03
  • training_steps: 100

Training results

Training Loss Epoch Step Validation Loss
1.3699 0.0060 20 1.3159
1.4501 0.0119 40 1.2761
1.2554 0.0179 60 1.2583
1.1901 0.0239 80 1.2474
1.4126 0.0298 100 1.2452

Framework versions

  • PEFT 0.11.1
  • Transformers 4.41.0
  • Pytorch 2.1.2
  • Datasets 2.16.0
  • Tokenizers 0.19.1