transformers pytorch pegasus_x text2text-generation generated_from_trainer base_model:google/pegasus-x-base autotrain_compatible endpoints_compatible region:us
---
base_model: google/pegasus-x-base
tags:
- generated_from_trainer
model-index:
- name: pegasus-x-base-testing-finetune-indosum
  results: []
---

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# pegasus-x-base-testing-finetune-indosum

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: nan

## 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: 2e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.0           | 1.0   | 35677 | nan             |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.0.0
- Datasets 2.12.0
- Tokenizers 0.13.2
