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