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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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datasets: din0s/msmarco-nlgen |
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model-index: |
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- name: t5-base-msmarco-nlgen-cb |
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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-msmarco-nlgen-cb |
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This model is a fine-tuned version of [t5-base](https://huggingface.co./t5-base) on the [MS MARCO Natural Language Generation](https://huggingface.co./datasets/din0s/msmarco-nlgen) dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.0571 |
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- Rougelsum: 24.7427 |
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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: 0.0001 |
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- train_batch_size: 16 |
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- eval_batch_size: 8 |
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- seed: 42 |
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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: 1 |
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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 | Rougelsum | |
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|:-------------:|:-----:|:----:|:---------------:|:---------:| |
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| 2.1393 | 0.26 | 2500 | 2.1099 | 24.5028 | |
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| 2.1006 | 0.52 | 5000 | 2.0739 | 24.6017 | |
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| 2.0694 | 0.78 | 7500 | 2.0571 | 24.7427 | |
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### Framework versions |
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- Transformers 4.23.0.dev0 |
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- Pytorch 1.12.1+cu102 |
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- Datasets 2.4.0 |
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- Tokenizers 0.12.1 |
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