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--- |
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license: apache-2.0 |
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base_model: yhavinga/t5-base-dutch |
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tags: |
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- summarization dutch for keyword extraction from new |
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- generated_from_trainer |
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model-index: |
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- name: t5-base-dutch-new_finetuned-mt5_nl_large_data |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# t5-base-dutch-new_finetuned-mt5_nl_large_data |
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This model is a fine-tuned version of [yhavinga/t5-base-dutch](https://huggingface.co/yhavinga/t5-base-dutch) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- eval_loss: 0.4797 |
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- eval_rouge1: 0.7735 |
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- eval_rouge2: 0.6122 |
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- eval_rougeL: 0.7616 |
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- eval_rougeLsum: 0.7619 |
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- eval_runtime: 158.5338 |
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- eval_samples_per_second: 5.746 |
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- eval_steps_per_second: 0.416 |
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- epoch: 5.0 |
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- step: 875 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5.6e-05 |
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- train_batch_size: 14 |
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- eval_batch_size: 14 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 28 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 20 |
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### Framework versions |
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- Transformers 4.38.1 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.17.1 |
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- Tokenizers 0.15.2 |
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