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

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# sft

This model is a fine-tuned version of [IlyaGusev/saiga_mistral_7b_merged](https://huggingface.co/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