---
base_model: google/pegasus-x-base
tags:
- generated_from_trainer
model-index:
- name: pegasus_x-meeting-summarizer
  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_x-meeting-summarizer

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: 1.2446

## 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: 0.0001
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: reduce_lr_on_plateau
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 4.0461        | 0.05  | 10   | 2.6611          |
| 2.8656        | 0.11  | 20   | 2.3313          |
| 2.5122        | 0.16  | 30   | 2.1502          |
| 2.3941        | 0.21  | 40   | 2.0071          |
| 2.2445        | 0.27  | 50   | 1.9110          |
| 2.205         | 0.32  | 60   | 1.8388          |
| 2.1341        | 0.37  | 70   | 1.7728          |
| 1.9793        | 0.43  | 80   | 1.7464          |
| 1.8616        | 0.48  | 90   | 1.6930          |
| 1.8848        | 0.53  | 100  | 1.6589          |
| 1.8432        | 0.59  | 110  | 1.6232          |
| 1.7926        | 0.64  | 120  | 1.5996          |
| 1.7956        | 0.69  | 130  | 1.5898          |
| 1.7327        | 0.75  | 140  | 1.5683          |
| 1.8604        | 0.8   | 150  | 1.5416          |
| 1.7607        | 0.85  | 160  | 1.5211          |
| 1.7807        | 0.91  | 170  | 1.5025          |
| 1.6985        | 0.96  | 180  | 1.4906          |
| 1.6284        | 1.01  | 190  | 1.4781          |
| 1.5689        | 1.07  | 200  | 1.4680          |
| 1.4443        | 1.12  | 210  | 1.4602          |
| 1.564         | 1.17  | 220  | 1.4439          |
| 1.4824        | 1.23  | 230  | 1.4327          |
| 1.4463        | 1.28  | 240  | 1.4247          |
| 1.5279        | 1.33  | 250  | 1.4195          |
| 1.4522        | 1.39  | 260  | 1.3928          |
| 1.5307        | 1.44  | 270  | 1.3943          |
| 1.4977        | 1.49  | 280  | 1.3779          |
| 1.5163        | 1.55  | 290  | 1.3756          |
| 1.4912        | 1.6   | 300  | 1.3558          |
| 1.5212        | 1.65  | 310  | 1.3539          |
| 1.4575        | 1.71  | 320  | 1.3424          |
| 1.3196        | 1.76  | 330  | 1.3386          |
| 1.3492        | 1.81  | 340  | 1.3257          |
| 1.4383        | 1.87  | 350  | 1.3248          |
| 1.4726        | 1.92  | 360  | 1.3168          |
| 1.3496        | 1.97  | 370  | 1.3117          |
| 1.2985        | 2.03  | 380  | 1.3181          |
| 1.1527        | 2.08  | 390  | 1.3094          |
| 1.2825        | 2.13  | 400  | 1.3112          |
| 1.2893        | 2.19  | 410  | 1.2984          |
| 1.2076        | 2.24  | 420  | 1.2880          |
| 1.3257        | 2.29  | 430  | 1.2904          |
| 1.3425        | 2.35  | 440  | 1.2756          |
| 1.2814        | 2.4   | 450  | 1.2806          |
| 1.3054        | 2.45  | 460  | 1.2782          |
| 1.1984        | 2.51  | 470  | 1.2767          |
| 1.2381        | 2.56  | 480  | 1.2653          |
| 1.1786        | 2.61  | 490  | 1.2712          |
| 1.1959        | 2.67  | 500  | 1.2534          |
| 1.2749        | 2.72  | 510  | 1.2548          |
| 1.2894        | 2.77  | 520  | 1.2531          |
| 1.2131        | 2.83  | 530  | 1.2561          |
| 1.226         | 2.88  | 540  | 1.2459          |
| 1.1534        | 2.93  | 550  | 1.2466          |
| 1.2492        | 2.99  | 560  | 1.2446          |


### Framework versions

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