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---
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base_model: google/pegasus-cnn_dailymail
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tags:
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- generated_from_trainer
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datasets:
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- samsum
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model-index:
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- name: pegasus-samsum
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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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# pegasus-samsum
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This model is a fine-tuned version of [google/pegasus-cnn_dailymail](https://huggingface.co/google/pegasus-cnn_dailymail) on the samsum dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.4825
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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: 5e-05
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- train_batch_size: 1
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- eval_batch_size: 1
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- seed: 42
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- gradient_accumulation_steps: 16
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- total_train_batch_size: 16
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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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- lr_scheduler_warmup_steps: 500
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- num_epochs: 1
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 1.6541 | 0.5430 | 500 | 1.4825 |
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### Framework versions
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- Transformers 4.40.2
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- Pytorch 2.3.1+cpu
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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