---
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: 1.3661

## 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: 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: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 35

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 5.4832        | 0.8   | 10   | 4.4248          |
| 5.3639        | 1.6   | 20   | 4.0621          |
| 5.1864        | 2.4   | 30   | 3.6767          |
| 4.6617        | 3.2   | 40   | 3.5090          |
| 4.2848        | 4.0   | 50   | 3.5086          |
| 4.1322        | 4.8   | 60   | 3.4132          |
| 3.8127        | 5.6   | 70   | 3.2068          |
| 3.7671        | 6.4   | 80   | 3.0280          |
| 3.4976        | 7.2   | 90   | 2.8873          |
| 3.3087        | 8.0   | 100  | 2.7660          |
| 3.2034        | 8.8   | 110  | 2.6335          |
| 2.9382        | 9.6   | 120  | 2.5135          |
| 2.8012        | 10.4  | 130  | 2.4030          |
| 2.7161        | 11.2  | 140  | 2.3023          |
| 2.5522        | 12.0  | 150  | 2.2041          |
| 2.3935        | 12.8  | 160  | 2.0972          |
| 2.4131        | 13.6  | 170  | 2.0091          |
| 2.1511        | 14.4  | 180  | 1.9461          |
| 2.0641        | 15.2  | 190  | 1.8887          |
| 2.0721        | 16.0  | 200  | 1.8338          |
| 1.939         | 16.8  | 210  | 1.7876          |
| 1.9375        | 17.6  | 220  | 1.7321          |
| 1.7973        | 18.4  | 230  | 1.6807          |
| 1.6928        | 19.2  | 240  | 1.6474          |
| 1.681         | 20.0  | 250  | 1.6095          |
| 1.5794        | 20.8  | 260  | 1.5739          |
| 1.6063        | 21.6  | 270  | 1.5468          |
| 1.4721        | 22.4  | 280  | 1.5176          |
| 1.4457        | 23.2  | 290  | 1.4911          |
| 1.378         | 24.0  | 300  | 1.4885          |
| 1.381         | 24.8  | 310  | 1.4602          |
| 1.3508        | 25.6  | 320  | 1.4370          |
| 1.1869        | 26.4  | 330  | 1.4257          |
| 1.1638        | 27.2  | 340  | 1.4187          |
| 1.1851        | 28.0  | 350  | 1.4091          |
| 1.1463        | 28.8  | 360  | 1.4070          |
| 1.1034        | 29.6  | 370  | 1.3968          |
| 1.0144        | 30.4  | 380  | 1.3851          |
| 1.0436        | 31.2  | 390  | 1.3780          |
| 0.9692        | 32.0  | 400  | 1.3748          |
| 0.9588        | 32.8  | 410  | 1.3831          |
| 0.9216        | 33.6  | 420  | 1.3661          |


### Framework versions

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