---
base_model: amagzari/pegasus-cnn_dailymail-finetuned-samsum-v2
tags:
- generated_from_trainer
model-index:
- name: 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-model

This model is a fine-tuned version of [amagzari/pegasus-cnn_dailymail-finetuned-samsum-v2](https://huggingface.co/amagzari/pegasus-cnn_dailymail-finetuned-samsum-v2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1602

## 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.2222        | 0.8   | 10   | 1.6816          |
| 2.2663        | 1.61  | 20   | 1.6594          |
| 2.0153        | 2.41  | 30   | 1.6221          |
| 2.1572        | 3.22  | 40   | 1.5758          |
| 2.0548        | 4.02  | 50   | 1.5208          |
| 1.9995        | 4.82  | 60   | 1.4627          |
| 1.8907        | 5.63  | 70   | 1.4151          |
| 1.9159        | 6.43  | 80   | 1.3653          |
| 1.7551        | 7.24  | 90   | 1.3158          |
| 1.7168        | 8.04  | 100  | 1.2606          |
| 1.5976        | 8.84  | 110  | 1.2106          |
| 1.4944        | 9.65  | 120  | 1.1602          |


### Framework versions

- Transformers 4.32.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3