---
license: apache-2.0
base_model: yhavinga/t5-base-dutch
tags:
- summarization dutch for keyword extraction from new
- generated_from_trainer
model-index:
- name: t5-base-dutch-new_finetuned-mt5_nl_large_data
  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. -->

# t5-base-dutch-new_finetuned-mt5_nl_large_data

This model is a fine-tuned version of [yhavinga/t5-base-dutch](https://huggingface.co/yhavinga/t5-base-dutch) on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.4797
- eval_rouge1: 0.7735
- eval_rouge2: 0.6122
- eval_rougeL: 0.7616
- eval_rougeLsum: 0.7619
- eval_runtime: 158.5338
- eval_samples_per_second: 5.746
- eval_steps_per_second: 0.416
- epoch: 5.0
- step: 875

## 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: 5.6e-05
- train_batch_size: 14
- eval_batch_size: 14
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 28
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20

### Framework versions

- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2