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README.md
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---
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tags:
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- generated_from_trainer
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datasets:
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- cnn_dailymail
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model-index:
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- name: pegasus-cnn_dailymail_2
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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-cnn_dailymail_2
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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 cnn_dailymail dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.4308
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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: 4
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 1.5344 | 0.6 | 500 | 1.4497 |
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| 1.5068 | 1.2 | 1000 | 1.4386 |
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| 1.4983 | 1.8 | 1500 | 1.4315 |
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| 1.389 | 2.39 | 2000 | 1.4308 |
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| 1.4246 | 2.99 | 2500 | 1.4277 |
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| 1.3656 | 3.59 | 3000 | 1.4308 |
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### Framework versions
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- Transformers 4.19.2
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- Pytorch 1.11.0+cu113
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- Datasets 2.2.1
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- Tokenizers 0.12.1
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