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t5-base-dutch-finetuned-mt5_base_keyword_extraction_dutch_batch_20 – AI Model by apatidar0 | AlphaNeural AI
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t5-base-dutch-finetuned-mt5_base_keyword_extraction_dutch_batch_20
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transformers
tensorboard
safetensors
t5
text2text-generation
summarization dutch for keyword extraction from new
generated_from_trainer
yhavinga/t5-base-dutch
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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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
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
