peft tensorboard safetensors generated_from_trainer base_model:google/pegasus-x-base base_model:adapter:google/pegasus-x-base region:us
---
base_model: google/pegasus-x-base
library_name: peft
tags:
- generated_from_trainer
model-index:
- name: pegasus-x-base-pegasus_article_summarization_base5
  results: []
---

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# pegasus-x-base-pegasus_article_summarization_base5

This model is a fine-tuned version of [google/pegasus-x-base](https://huggingface.co/google/pegasus-x-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.9305

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 300  | 3.0662          |
| 3.5905        | 2.0   | 600  | 2.9914          |
| 3.5905        | 3.0   | 900  | 2.9552          |
| 3.2109        | 4.0   | 1200 | 2.9461          |
| 3.1687        | 5.0   | 1500 | 2.9375          |
| 3.1687        | 6.0   | 1800 | 2.9371          |
| 3.1575        | 7.0   | 2100 | 2.9334          |
| 3.1575        | 8.0   | 2400 | 2.9309          |
| 3.1489        | 9.0   | 2700 | 2.9309          |
| 3.1565        | 10.0  | 3000 | 2.9305          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.39.3
- Pytorch 2.1.0+cu121
- Datasets 2.19.0
- Tokenizers 0.15.0