transformers pytorch tensorboard pegasus text2text-generation generated_from_trainer base_model:human-centered-summarization/financial-summarization-pegasus base_model:finetune:human-centered-summarization/financial-summarization-pegasus autotrain_compatible endpoints_compatible region:us
---
base_model: human-centered-summarization/financial-summarization-pegasus
tags:
- generated_from_trainer
model-index:
- name: financial-summarization-pegasus-finetuned-pytorch-model
  results: []
---

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# financial-summarization-pegasus-finetuned-pytorch-model

This model is a fine-tuned version of [human-centered-summarization/financial-summarization-pegasus](https://huggingface.co/human-centered-summarization/financial-summarization-pegasus) on the None dataset.

## 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: 1
- eval_batch_size: 1
- 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 | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| No log        | 1.0   | 240  | 0.6898          | 40.3957 | 29.8846 | 34.0827 | 37.8739   | 61.5333 |


### Framework versions

- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.7.1
- Tokenizers 0.13.2
