---
license: cc-by-nc-4.0
base_model: facebook/nllb-200-distilled-600M
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: nllb-200-distilled-600M-finetuned_ramayana_sns_lexr
  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. -->

# nllb-200-distilled-600M-finetuned_ramayana_sns_lexr

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: 3.2899
- Rouge1: 18.7327
- Rouge2: 2.1067
- Rougel: 14.4307
- Rougelsum: 16.856

## 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: 5.6e-06
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|
| 4.5091        | 1.0   | 427  | 4.0603          | 16.2779 | 1.6057 | 13.7589 | 14.9914   |
| 4.1329        | 2.0   | 854  | 3.8728          | 16.1259 | 1.3608 | 13.0307 | 14.5339   |
| 3.9846        | 3.0   | 1281 | 3.7534          | 17.0824 | 1.7524 | 13.8469 | 15.5679   |
| 3.8863        | 4.0   | 1708 | 3.6693          | 16.9334 | 1.7307 | 13.8506 | 15.5077   |
| 3.8144        | 5.0   | 2135 | 3.5996          | 18.0132 | 1.9515 | 14.3725 | 16.3556   |
| 3.7542        | 6.0   | 2562 | 3.5460          | 17.4338 | 1.8704 | 14.1021 | 15.9508   |
| 3.7068        | 7.0   | 2989 | 3.5052          | 17.5684 | 2.0413 | 14.0332 | 15.9409   |
| 3.665         | 8.0   | 3416 | 3.4695          | 18.2728 | 2.0033 | 14.2529 | 16.6322   |
| 3.6288        | 9.0   | 3843 | 3.4347          | 18.0755 | 2.2161 | 14.0724 | 16.4611   |
| 3.5969        | 10.0  | 4270 | 3.4081          | 18.3883 | 2.1437 | 14.3847 | 16.7879   |
| 3.5718        | 11.0  | 4697 | 3.3840          | 18.9654 | 2.2593 | 14.6253 | 17.3421   |
| 3.5464        | 12.0  | 5124 | 3.3619          | 18.9897 | 2.352  | 14.679  | 17.4166   |
| 3.5302        | 13.0  | 5551 | 3.3465          | 18.9671 | 2.246  | 14.4441 | 17.16     |
| 3.5102        | 14.0  | 5978 | 3.3309          | 18.5565 | 2.1854 | 14.1515 | 16.6572   |
| 3.4992        | 15.0  | 6405 | 3.3171          | 19.0665 | 2.1941 | 14.7519 | 17.2236   |
| 3.4851        | 16.0  | 6832 | 3.3075          | 18.5714 | 2.1059 | 14.3258 | 16.7627   |
| 3.4765        | 17.0  | 7259 | 3.2998          | 18.5252 | 2.083  | 14.1246 | 16.724    |
| 3.464         | 18.0  | 7686 | 3.2944          | 18.9694 | 2.1503 | 14.6684 | 17.0653   |
| 3.4647        | 19.0  | 8113 | 3.2911          | 18.6916 | 2.1447 | 14.4372 | 16.8423   |
| 3.4585        | 20.0  | 8540 | 3.2899          | 18.7327 | 2.1067 | 14.4307 | 16.856    |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.2+cu121
- Datasets 2.14.4
- Tokenizers 0.15.2