README.md

---
license: cc-by-nc-4.0
base_model: facebook/nllb-200-distilled-600M
tags:
- generated_from_trainer
metrics:
- bleu
- rouge
model-index:
- name: finetune-NLLB-600M-on-opus100-Ar2En-without-optimization
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# finetune-NLLB-600M-on-opus100-Ar2En-without-optimization

This model is a fine-tuned version of [facebook/nllb-200-distilled-600M](https://huggingface.co/facebook/nllb-200-distilled-600M) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2100
- Bleu: 34.6972
- Rouge: 0.6037
- Gen Len: 17.7144

## 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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu    | Rouge  | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|
| 1.5487        | 1.0   | 2000 | 1.2118          | 34.2974 | 0.6072 | 17.6144 |
| 1.135         | 2.0   | 4000 | 1.2100          | 34.6972 | 0.6037 | 17.7144 |
| 0.9746        | 3.0   | 6000 | 1.2414          | 34.1024 | 0.5995 | 17.6656 |


### Framework versions

- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1