t5-base-dutch-finetuned-mt5_base_keyword_extraction_dutch_batch_20
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: 0.4839
- 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
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Model tree for apatidar0/t5-base-dutch-finetuned-mt5_base_keyword_extraction_dutch_batch_20
Base model
yhavinga/t5-base-dutch