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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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- 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: 1.4177 |
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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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- 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: 0.4 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.6092 | 0.03 | 500 | 1.6488 | |
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| 1.9715 | 0.07 | 1000 | 1.5444 | |
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| 1.8325 | 0.1 | 1500 | 1.5093 | |
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| 1.876 | 0.14 | 2000 | 1.4890 | |
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| 1.3081 | 0.17 | 2500 | 1.4737 | |
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| 1.7769 | 0.2 | 3000 | 1.4496 | |
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| 1.6276 | 0.24 | 3500 | 1.4430 | |
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| 1.6624 | 0.27 | 4000 | 1.4288 | |
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| 1.9202 | 0.31 | 4500 | 1.4235 | |
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| 1.4404 | 0.34 | 5000 | 1.4189 | |
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| 1.8016 | 0.37 | 5500 | 1.4177 | |
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### Framework versions |
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- Transformers 4.12.0.dev0 |
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- Pytorch 1.9.1+cu102 |
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- Datasets 1.12.1 |
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- Tokenizers 0.10.3 |
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