---
base_model: beomi/KoAlpaca-Polyglot-5.8B
library_name: peft
license: apache-2.0
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: KoAlpaca-Polyglot-5.8B-dialoguSum_ko_bySolar
  results: []
---

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# KoAlpaca-Polyglot-5.8B-dialoguSum_ko_bySolar

This model is a fine-tuned version of [beomi/KoAlpaca-Polyglot-5.8B](https://huggingface.co/beomi/KoAlpaca-Polyglot-5.8B) on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 1.0898
- eval_runtime: 77.7261
- eval_samples_per_second: 6.42
- eval_steps_per_second: 0.811
- epoch: 2.0140
- step: 1568

## 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: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 20
- mixed_precision_training: Native AMP

### Framework versions

- PEFT 0.12.0
- Transformers 4.44.2
- Pytorch 2.1.0
- Datasets 2.21.0
- Tokenizers 0.19.1