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End of training
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metadata
base_model: minhtt/vistral-7b-chat
library_name: peft
license: afl-3.0
tags:
  - generated_from_trainer
model-index:
  - name: tuyen_model_vistral_7B
    results: []

tuyen_model_vistral_7B

This model is a fine-tuned version of minhtt/vistral-7b-chat on the None dataset.

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: 8
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 6
  • total_train_batch_size: 48
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.03
  • num_epochs: 4

Training results

Framework versions

  • PEFT 0.12.0
  • Transformers 4.36.1
  • Pytorch 2.4.0
  • Datasets 2.20.0
  • Tokenizers 0.15.2