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--- |
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library_name: transformers |
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base_model: tarekziade/wikipedia-summaries-t5-efficient-tiny |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: t5-efficient-tiny-nh8-summarizer |
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results: [] |
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datasets: |
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- shorecode/summary-collection-60k-rows |
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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-efficient-tiny-summarizer-general-purpose |
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This model is a fine-tuned version of [tarekziade/wikipedia-summaries-t5-efficient-tiny](https://huggingface.co./tarekziade/wikipedia-summaries-t5-efficient-tiny) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: nan |
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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: 3.0000000000000004e-05 |
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- train_batch_size: 63 |
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- eval_batch_size: 63 |
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- seed: 42 |
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- num_epochs: 3 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 0.0 | 0.2096 | 200 | nan | |
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| 0.0 | 0.4193 | 400 | nan | |
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| 0.0 | 0.6289 | 600 | nan | |
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| 0.0 | 0.8386 | 800 | nan | |
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| 0.0 | 1.0482 | 1000 | nan | |
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| 0.0 | 1.2579 | 1200 | nan | |
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| 0.0 | 1.4675 | 1400 | nan | |
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| 0.0 | 1.6771 | 1600 | nan | |
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| 0.0 | 1.8868 | 1800 | nan | |
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| 0.0 | 2.0964 | 2000 | nan | |
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| 0.0 | 2.3061 | 2200 | nan | |
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| 0.0 | 2.5157 | 2400 | nan | |
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| 0.0 | 2.7254 | 2600 | nan | |
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| 0.0 | 2.9350 | 2800 | nan | |
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### Framework versions |
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- Transformers 4.47.0 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 3.0.0 |
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- Tokenizers 0.21.0 |
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