---
library_name: transformers
license: cc-by-nc-4.0
base_model: facebook/nllb-200-distilled-600M
tags:
- generated_from_trainer
model-index:
- name: qcri_test
  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. -->

# qcri_test

This model is a fine-tuned version of [facebook/nllb-200-distilled-600M](https://huggingface.co/facebook/nllb-200-distilled-600M) on the [TEDx dataset](https://huggingface.co/datasets/IWSLT/ted_talks_iwslt).
It achieves the following results on the evaluation set:
- Loss: 0.5696

## 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

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.8109        | 1.0   | 537  | 0.8636          |
| 0.7152        | 2.0   | 1074 | 0.7924          |
| 0.6361        | 3.0   | 1611 | 0.7339          |
| 0.6227        | 4.0   | 2148 | 0.6863          |
| 0.599         | 5.0   | 2685 | 0.6502          |
| 0.551         | 6.0   | 3222 | 0.6199          |
| 0.5277        | 7.0   | 3759 | 0.5982          |
| 0.4916        | 8.0   | 4296 | 0.5823          |
| 0.4766        | 9.0   | 4833 | 0.5734          |
| 0.4581        | 10.0  | 5370 | 0.5696          |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Datasets 3.1.0
- Tokenizers 0.19.1