transformers pytorch tensorboard pegasus text2text-generation generated_from_trainer autotrain_compatible endpoints_compatible region:us
---
metrics:
- rouge
tags:
- generated_from_trainer
model-index:
- name: pegasus-large-finetuned-rahulver-summarization-pegasus-model
  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-large-finetuned-rahulver-summarization-pegasus-model

This model is a fine-tuned version of [google/pegasus-large](https://huggingface.co/google/pegasus-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0906
- Rouge1: 61.2393
- Rouge2: 43.8277
- Rougel: 50.0054
- Rougelsum: 57.4674
- Gen Len: 114.6

## 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len  |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:--------:|
| 1.3648        | 1.0   | 140  | 0.7201          | 50.0081 | 32.6454 | 39.3021 | 45.1602   | 125.7333 |
| 0.8502        | 2.0   | 280  | 0.6067          | 57.8678 | 41.5251 | 46.0694 | 54.1055   | 128.3333 |
| 0.5053        | 3.0   | 420  | 0.6642          | 58.3644 | 41.8619 | 47.6199 | 54.1639   | 108.9667 |
| 0.3469        | 4.0   | 560  | 0.7318          | 61.8988 | 45.7303 | 51.1928 | 57.9306   | 123.1667 |
| 0.2779        | 5.0   | 700  | 0.7274          | 62.9354 | 46.5    | 51.6431 | 59.2443   | 99.6333  |
| 0.2124        | 6.0   | 840  | 0.8618          | 63.8552 | 48.3846 | 53.3804 | 60.2718   | 111.2333 |
| 0.1864        | 7.0   | 980  | 1.0058          | 59.5675 | 42.4324 | 48.462  | 55.3498   | 108.4667 |
| 0.1691        | 8.0   | 1120 | 0.9984          | 60.1063 | 43.6022 | 49.7163 | 56.9865   | 130.2    |
| 0.1603        | 9.0   | 1260 | 1.0062          | 61.398  | 44.4507 | 50.2044 | 57.4447   | 99.0333  |
| 0.1674        | 10.0  | 1400 | 1.0906          | 61.2393 | 43.8277 | 50.0054 | 57.4674   | 114.6    |


### Framework versions

- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.7.1
- Tokenizers 0.13.2
