---
license: cc-by-nc-4.0
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: hi_do_epoch_10
  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_10

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: 1.1901
- Bleu: 40.8348
- Gen Len: 40.7269

## 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
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| No log        | 1.0   | 398  | 2.0113          | 22.4938 | 38.9396 |
| 2.9232        | 2.0   | 796  | 1.6090          | 30.6633 | 39.8099 |
| 1.7621        | 3.0   | 1194 | 1.4372          | 34.6834 | 40.3153 |
| 1.4831        | 4.0   | 1592 | 1.3466          | 36.6566 | 40.6136 |
| 1.4831        | 5.0   | 1990 | 1.2808          | 38.344  | 40.7986 |
| 1.3346        | 6.0   | 2388 | 1.2338          | 39.2976 | 40.6419 |
| 1.233         | 7.0   | 2786 | 1.2122          | 40.1246 | 40.6923 |
| 1.1768        | 8.0   | 3184 | 1.1983          | 40.5123 | 40.7093 |
| 1.1437        | 9.0   | 3582 | 1.1935          | 40.8092 | 40.815  |
| 1.1437        | 10.0  | 3980 | 1.1901          | 40.8348 | 40.7269 |


### Framework versions

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