---
base_model: cifope/nllb-200-en-twi-v4-1.3B
tags:
- generated_from_trainer
model-index:
- name: output_dir2
  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. -->

# output_dir2

This model is a fine-tuned version of [cifope/nllb-200-en-twi-v4-1.3B](https://huggingface.co./cifope/nllb-200-en-twi-v4-1.3B) on the None dataset.
It achieves the following results on the evaluation set:
- eval_rouge: 0.8878
- eval_loss: 4.8689
- eval_rouge1: 0.9058
- eval_rouge2: 0.8579
- eval_rougeL: 0.8996
- eval_runtime: 118.7194
- eval_samples_per_second: 6.065
- eval_steps_per_second: 0.379
- epoch: 0.47
- step: 100

## 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: 0.0001
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 3
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.38.2
- Pytorch 2.4.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2