End of training
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README.md
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---
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library_name: peft
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tags:
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- generated_from_trainer
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base_model: google/pegasus-x-base
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model-index:
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- name: pegasus-x-base-pegasus_article_summarization_base5
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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-x-base-pegasus_article_summarization_base5
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This model is a fine-tuned version of [google/pegasus-x-base](https://huggingface.co/google/pegasus-x-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.9305
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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: 0.0002
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- train_batch_size: 16
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- eval_batch_size: 16
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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: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| No log | 1.0 | 300 | 3.0662 |
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| 3.5905 | 2.0 | 600 | 2.9914 |
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| 3.5905 | 3.0 | 900 | 2.9552 |
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| 3.2109 | 4.0 | 1200 | 2.9461 |
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| 3.1687 | 5.0 | 1500 | 2.9375 |
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| 3.1687 | 6.0 | 1800 | 2.9371 |
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| 3.1575 | 7.0 | 2100 | 2.9334 |
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| 3.1575 | 8.0 | 2400 | 2.9309 |
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| 3.1489 | 9.0 | 2700 | 2.9309 |
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| 3.1565 | 10.0 | 3000 | 2.9305 |
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### Framework versions
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- PEFT 0.10.0
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- Transformers 4.39.3
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- Pytorch 2.1.0+cu121
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- Datasets 2.19.0
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- Tokenizers 0.15.0
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runs/Apr29_15-00-50_arungpu/events.out.tfevents.1714402860.arungpu.1934.0
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version https://git-lfs.github.com/spec/v1
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size
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version https://git-lfs.github.com/spec/v1
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size 10030
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