transformers tensorboard safetensors t5 text2text-generation summarization dutch for keyword extraction from new generated_from_trainer base_model:yhavinga/t5-base-dutch base_model:finetune:yhavinga/t5-base-dutch license:apache-2.0 autotrain_compatible text-generation-inference endpoints_compatible region:us
---
base_model: yhavinga/t5-base-dutch
license: apache-2.0
tags:
- summarization dutch for keyword extraction from new
- generated_from_trainer
model-index:
- name: t5-base-dutch-finetuned-mt5_base_keyword_extraction_dutch_batch_20
  results: []
---

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# t5-base-dutch-finetuned-mt5_base_keyword_extraction_dutch_batch_20

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: 0.4839
- eval_rouge1: 0.8041
- eval_rouge2: 0.6483
- eval_rougeL: 0.7937
- eval_rougeLsum: 0.7939
- eval_runtime: 141.5673
- eval_samples_per_second: 6.435
- eval_steps_per_second: 0.537
- epoch: 18.0
- step: 3672

## 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: 12
- eval_batch_size: 12
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 24
- 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 2.18.0
- Tokenizers 0.15.2
