---
license: mit
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: mbart-large-50-finetuned-sah-to-feat
  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-sah-to-feat

This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co/facebook/mbart-large-50) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4514
- Bleu: 5.5821
- Gen Len: 199.0

## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu   | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
| 12.3174       | 1.0   | 24   | 6.7012          | 0.0148 | 199.0   |
| 5.2025        | 2.0   | 48   | 3.9396          | 0.0953 | 199.0   |
| 3.6977        | 3.0   | 72   | 2.1764          | 1.573  | 199.0   |
| 1.884         | 4.0   | 96   | 1.3887          | 3.5395 | 199.0   |
| 1.3753        | 5.0   | 120  | 0.9881          | 5.6111 | 199.0   |
| 0.9707        | 6.0   | 144  | 0.7452          | 5.2841 | 199.0   |
| 0.8008        | 7.0   | 168  | 0.6060          | 5.4831 | 199.0   |
| 0.6444        | 8.0   | 192  | 0.5174          | 5.4302 | 199.0   |
| 0.5689        | 9.0   | 216  | 0.4744          | 5.6898 | 199.0   |
| 0.5244        | 10.0  | 240  | 0.4514          | 5.5821 | 199.0   |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.0.1
- Datasets 2.13.1
- Tokenizers 0.13.3