metadata

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: []

t5-base-dutch-new_finetuned-mt5_nl_large_data

This model is a fine-tuned version of 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