---
license: cc-by-nc-4.0
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: hi_do_epoch_5
  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. -->

# hi_do_epoch_5

This model is a fine-tuned version of [facebook/nllb-200-distilled-600M](https://huggingface.co/facebook/nllb-200-distilled-600M) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4675
- Bleu: 34.8763
- Gen Len: 40.6362

## 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: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| No log        | 1.0   | 398  | 2.0556          | 22.5137 | 39.5758 |
| 2.9556        | 2.0   | 796  | 1.6863          | 30.1421 | 39.9786 |
| 1.8135        | 3.0   | 1194 | 1.5487          | 32.8717 | 40.1963 |
| 1.5932        | 4.0   | 1592 | 1.4839          | 34.2659 | 40.5695 |
| 1.5932        | 5.0   | 1990 | 1.4675          | 34.8763 | 40.6362 |


### Framework versions

- Transformers 4.26.0
- Pytorch 1.10.1+cu113
- Datasets 2.8.0
- Tokenizers 0.13.2