---
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: 0.3669
- Bleu: 41.8685
- Gen Len: 18.2677

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| No log        | 1.0   | 24   | 2.6306          | 23.9912 | 34.3858 |
| No log        | 2.0   | 48   | 1.9570          | 39.8674 | 22.4882 |
| No log        | 3.0   | 72   | 1.5854          | 39.2001 | 21.1102 |
| No log        | 4.0   | 96   | 0.9981          | 26.199  | 31.5984 |
| No log        | 5.0   | 120  | 0.4687          | 42.9123 | 20.6614 |
| No log        | 6.0   | 144  | 0.4401          | 39.42   | 19.7244 |
| No log        | 7.0   | 168  | 0.3543          | 48.7148 | 21.1732 |
| No log        | 8.0   | 192  | 0.3650          | 46.2897 | 20.9843 |
| No log        | 9.0   | 216  | 0.3539          | 41.6928 | 18.4567 |
| No log        | 10.0  | 240  | 0.3669          | 41.8685 | 18.2677 |


### Framework versions

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