peft pytorch safetensors gguf generated_from_trainer dataset:IlyaGusev/gazeta dataset:IlyaGusev/ru_turbo_saiga dataset:Salexoid/ru-messages-summarization base_model:TinyLlama/TinyLlama-1.1B-Chat-v1.0 base_model:adapter:TinyLlama/TinyLlama-1.1B-Chat-v1.0 license:apache-2.0 endpoints_compatible region:us conversational
---
base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
datasets:
- IlyaGusev/gazeta
- IlyaGusev/ru_turbo_saiga
- Salexoid/ru-messages-summarization
library_name: peft
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: tiny-rullama-1b
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# tiny-rullama-1b

This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-Chat-v1.0](https://huggingface.co/TinyLlama/TinyLlama-1.1B-Chat-v1.0) 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: 0.002
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- training_steps: 4000

### Training results



### Framework versions

- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0