---
base_model: google/pegasus-x-base
tags:
- generated_from_trainer
model-index:
- name: pegasus_x-meeting-summarizer-gpt3.5
  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-gpt3.5

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: 1.3143

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.5583        | 0.05  | 10   | 2.3912          |
| 2.5255        | 0.11  | 20   | 2.0221          |
| 2.1546        | 0.16  | 30   | 1.8584          |
| 2.0147        | 0.21  | 40   | 1.7538          |
| 1.9291        | 0.27  | 50   | 1.6817          |
| 1.8566        | 0.32  | 60   | 1.6424          |
| 1.8325        | 0.37  | 70   | 1.6027          |
| 1.7709        | 0.43  | 80   | 1.5801          |
| 1.7153        | 0.48  | 90   | 1.5569          |
| 1.6983        | 0.53  | 100  | 1.5337          |
| 1.6936        | 0.59  | 110  | 1.5292          |
| 1.6254        | 0.64  | 120  | 1.5039          |
| 1.629         | 0.69  | 130  | 1.4861          |
| 1.6537        | 0.75  | 140  | 1.4684          |
| 1.6449        | 0.8   | 150  | 1.4621          |
| 1.5916        | 0.85  | 160  | 1.4497          |
| 1.5764        | 0.91  | 170  | 1.4385          |
| 1.5899        | 0.96  | 180  | 1.4406          |
| 1.5556        | 1.01  | 190  | 1.4307          |
| 1.4869        | 1.07  | 200  | 1.4263          |
| 1.482         | 1.12  | 210  | 1.4156          |
| 1.486         | 1.17  | 220  | 1.4109          |
| 1.4407        | 1.23  | 230  | 1.4092          |
| 1.4183        | 1.28  | 240  | 1.4010          |
| 1.4226        | 1.33  | 250  | 1.3988          |
| 1.4611        | 1.39  | 260  | 1.3917          |
| 1.4823        | 1.44  | 270  | 1.3881          |
| 1.4877        | 1.49  | 280  | 1.3800          |
| 1.464         | 1.55  | 290  | 1.3799          |
| 1.4327        | 1.6   | 300  | 1.3712          |
| 1.4189        | 1.65  | 310  | 1.3725          |
| 1.495         | 1.71  | 320  | 1.3649          |
| 1.387         | 1.76  | 330  | 1.3640          |
| 1.4308        | 1.81  | 340  | 1.3595          |
| 1.4045        | 1.87  | 350  | 1.3547          |
| 1.4227        | 1.92  | 360  | 1.3549          |
| 1.444         | 1.97  | 370  | 1.3487          |
| 1.3747        | 2.03  | 380  | 1.3467          |
| 1.3504        | 2.08  | 390  | 1.3530          |
| 1.3493        | 2.13  | 400  | 1.3438          |
| 1.3099        | 2.19  | 410  | 1.3494          |
| 1.3484        | 2.24  | 420  | 1.3374          |
| 1.3541        | 2.29  | 430  | 1.3343          |
| 1.3044        | 2.35  | 440  | 1.3383          |
| 1.3457        | 2.4   | 450  | 1.3373          |
| 1.3017        | 2.45  | 460  | 1.3291          |
| 1.2956        | 2.51  | 470  | 1.3289          |
| 1.322         | 2.56  | 480  | 1.3300          |
| 1.3219        | 2.61  | 490  | 1.3211          |
| 1.3026        | 2.67  | 500  | 1.3254          |
| 1.3183        | 2.72  | 510  | 1.3191          |
| 1.2709        | 2.77  | 520  | 1.3160          |
| 1.303         | 2.83  | 530  | 1.3141          |
| 1.2857        | 2.88  | 540  | 1.3189          |
| 1.3126        | 2.93  | 550  | 1.3082          |
| 1.3053        | 2.99  | 560  | 1.3143          |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2