---
license: apache-2.0
base_model: google/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 [google/umt5-base](https://huggingface.co/google/umt5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 1.3565
- eval_bleu: 32.2656
- eval_gen_len: 38.1913
- eval_runtime: 293.3922
- eval_samples_per_second: 10.225
- eval_steps_per_second: 0.32
- 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: 1000
- num_epochs: 2

### Framework versions

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