---
license: mit
base_model: facebook/mbart-large-50
tags:
- summarization
- generated_from_trainer
model-index:
- name: mbart-large-50-finetuned-latest
  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. -->

# mbart-large-50-finetuned-latest

This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co./facebook/mbart-large-50) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.4403

## 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
- lr_scheduler_warmup_steps: 100
- num_epochs: 8
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 4.7945        | 1.0   | 1320  | 2.9694          |
| 2.5912        | 2.0   | 2640  | 2.5685          |
| 2.0619        | 3.0   | 3960  | 2.5957          |
| 1.6246        | 4.0   | 5280  | 2.6842          |
| 1.2513        | 5.0   | 6600  | 2.8918          |
| 0.9438        | 6.0   | 7920  | 3.1355          |
| 0.714         | 7.0   | 9240  | 3.3191          |
| 0.5617        | 8.0   | 10560 | 3.4403          |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.1.2
- Datasets 2.15.0
- Tokenizers 0.15.2