peft safetensors llama alignment-handbook trl sft generated_from_trainer dataset:kyujinpy/KOR-OpenOrca-Platypus base_model:TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T license:apache-2.0 4-bit bitsandbytes region:us
---
license: apache-2.0
library_name: peft
tags:
- alignment-handbook
- trl
- sft
- generated_from_trainer
- trl
- sft
- generated_from_trainer
datasets:
- kyujinpy/KOR-OpenOrca-Platypus
base_model: TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T
model-index:
- name: tinyllama-sft-ko-qlora_v2
  results: []
---

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# tinyllama-sft-ko-qlora_v2

This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T](https://huggingface.co/TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T) on the kyujinpy/KOR-OpenOrca-Platypus dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9850

## 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: 1e-05
- train_batch_size: 2
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- total_eval_batch_size: 2
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.9945        | 1.0   | 1288 | 1.9996          |
| 2.0215        | 2.0   | 2577 | 1.9851          |
| 1.9766        | 3.0   | 3864 | 1.9850          |


### Framework versions

- PEFT 0.8.2
- Transformers 4.38.1
- Pytorch 2.2.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2