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metadata
license: other
library_name: peft
tags:
  - llama-factory
  - lora
  - generated_from_trainer
  - summarization
  - russian
base_model: IlyaGusev/saiga_mistral_7b_merged
model-index:
  - name: sft
    results: []
datasets:
  - IlyaGusev/gazeta
pipeline_tag: text2text-generation

sft

This model is a fine-tuned version of IlyaGusev/saiga_mistral_7b_merged on the gazeta dataset.

Model description

This model was trained on IlyaGusev/gazeta dataset for summarization on Russian language. Context window size is 2048.

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: 5e-05
  • train_batch_size: 2
  • eval_batch_size: 8
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 2
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 8
  • total_eval_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • num_epochs: 2.0
  • mixed_precision_training: Native AMP

Training results

Framework versions

  • PEFT 0.10.0
  • Transformers 4.39.1
  • Pytorch 2.1.0+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.2