---
license: cc-by-nc-4.0
base_model: facebook/nllb-200-distilled-600M
tags:
- generated_from_trainer
metrics:
- rouge
- sacrebleu
model-index:
- name: test_llm_nllb_100_e_12_lr3e5_ada
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# test_llm_nllb_100_e_12_lr3e5_ada

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: 0.5388
- Rouge1: 0.6155
- Rouge2: 0.3817
- Rougel: 0.57
- Sacrebleu: 23.323

## 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: 3e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 237
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 12
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1 | Rouge2 | Rougel | Sacrebleu |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|
| 0.5121        | 1.0   | 2040  | 0.5072          | 0.5877 | 0.3511 | 0.5432 | 20.8262   |
| 0.4381        | 2.0   | 4080  | 0.4802          | 0.6022 | 0.3684 | 0.5572 | 21.9614   |
| 0.3465        | 3.0   | 6120  | 0.4816          | 0.6143 | 0.3806 | 0.569  | 23.0564   |
| 0.3084        | 4.0   | 8160  | 0.4832          | 0.6172 | 0.3872 | 0.5726 | 23.4185   |
| 0.2836        | 5.0   | 10200 | 0.4902          | 0.6196 | 0.3883 | 0.5751 | 23.7412   |
| 0.2479        | 6.0   | 12240 | 0.5001          | 0.6182 | 0.3832 | 0.5719 | 23.1833   |
| 0.2036        | 7.0   | 14280 | 0.5112          | 0.6191 | 0.3865 | 0.5746 | 23.1771   |
| 0.1973        | 8.0   | 16320 | 0.5190          | 0.6207 | 0.3865 | 0.5735 | 23.2226   |
| 0.1615        | 9.0   | 18360 | 0.5258          | 0.619  | 0.3877 | 0.5733 | 23.7005   |
| 0.1546        | 10.0  | 20400 | 0.5335          | 0.6172 | 0.3835 | 0.5708 | 23.458    |
| 0.1345        | 11.0  | 22440 | 0.5336          | 0.6125 | 0.3786 | 0.5665 | 23.1359   |
| 0.1294        | 12.0  | 24480 | 0.5388          | 0.6155 | 0.3817 | 0.57   | 23.323    |


### Framework versions

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