---
base_model: robercg33/distilbart-cnn-12-6-finetuned
tags:
- generated_from_trainer
model-index:
- name: robadri_summ_v1
  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. -->

# robadri_summ_v1

This model is a fine-tuned version of [robercg33/distilbart-cnn-12-6-finetuned](https://huggingface.co/robercg33/distilbart-cnn-12-6-finetuned) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1886

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 266  | 1.0832          |
| 1.2203        | 2.0   | 532  | 1.1000          |
| 1.2203        | 3.0   | 798  | 1.1211          |
| 0.841         | 4.0   | 1064 | 1.1581          |
| 0.841         | 5.0   | 1330 | 1.1886          |


### Framework versions

- Transformers 4.44.0
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1