transformers tensorboard safetensors pegasus text2text-generation simplification generated_from_trainer base_model:tuner007/pegasus_summarizer license:apache-2.0 autotrain_compatible endpoints_compatible region:us
---
license: apache-2.0
base_model: tuner007/pegasus_summarizer
tags:
- simplification
- generated_from_trainer
metrics:
- bleu
model-index:
- name: pegasus-trial
  results: []
---

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# pegasus-trial

This model is a fine-tuned version of [tuner007/pegasus_summarizer](https://huggingface.co/tuner007/pegasus_summarizer) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2040
- Bleu: 78.9331
- Gen Len: 25.4062

## 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: 5.6e-05
- train_batch_size: 3
- eval_batch_size: 3
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| 0.2604        | 1.0   | 1171 | 0.3016          | 77.0102 | 25.2188 |
| 0.1384        | 2.0   | 2342 | 0.2040          | 78.9331 | 25.4062 |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
