---
license: apache-2.0
base_model: jhpassion0621/kp-umt5-base
tags:
- generated_from_trainer
model-index:
- name: kp-umt5-base
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# kp-umt5-base

This model is a fine-tuned version of [jhpassion0621/kp-umt5-base](https://huggingface.co/jhpassion0621/kp-umt5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.7999
- eval_bleu: 35.2686
- eval_gen_len: 45.5769
- eval_runtime: 3400.6474
- eval_samples_per_second: 8.33
- eval_steps_per_second: 0.261
- step: 0

## 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: 2e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2500
- training_steps: 600000

### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1