transformers tensorboard safetensors mbart text2text-generation generated_from_trainer base_model:facebook/mbart-large-50 license:mit autotrain_compatible endpoints_compatible region:us
---
license: mit
tags:
- generated_from_trainer
base_model: facebook/mbart-large-50
model-index:
- name: mBART_try_v1
  results: []
---

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# mBART_try_v1

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: 0.0000

## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.179         | 0.79  | 500  | 0.0000          |


### Framework versions

- Transformers 4.37.0
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.1
