---
base_model: google/pegasus-cnn_dailymail
tags:
- summarization
- generated_from_trainer
model-index:
- name: pegasus-reviews
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# pegasus-reviews

This model is a fine-tuned version of [google/pegasus-cnn_dailymail](https://huggingface.co/google/pegasus-cnn_dailymail) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 4.3085

## 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: 5e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 6

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.8541        | 1.0   | 1    | 4.3114          |
| 0.8178        | 2.0   | 2    | 4.3112          |
| 0.9366        | 3.0   | 3    | 4.3108          |
| 0.831         | 4.0   | 4    | 4.3102          |
| 0.8294        | 5.0   | 5    | 4.3094          |
| 0.2781        | 5.33  | 6    | 4.3085          |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.0
- Datasets 2.12.0
- Tokenizers 0.14.1