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
  results: []
---

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# mBART_try

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: 2.6571

## 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: 2
- eval_batch_size: 2
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 0.2   | 5    | 5.7742          |
| No log        | 0.4   | 10   | 3.1782          |
| No log        | 0.6   | 15   | 2.9777          |
| No log        | 0.8   | 20   | 2.7592          |
| No log        | 1.0   | 25   | 2.6571          |


### Framework versions

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