---
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: google-t5/t5-small
model-index:
- name: algerian-dialect-translation
  results: []
pipeline_tag: translation
---

<!-- 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. -->

# algerian-dialect-translation

This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0060

## 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: 0.0002
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.1933        | 1.0   | 66   | 0.0389          |
| 0.0614        | 1.99  | 132  | 0.0180          |
| 0.039         | 2.99  | 198  | 0.0131          |
| 0.0342        | 4.0   | 265  | 0.0084          |
| 0.0281        | 5.0   | 331  | 0.0072          |
| 0.0268        | 5.99  | 397  | 0.0068          |
| 0.0271        | 6.99  | 463  | 0.0067          |
| 0.0234        | 8.0   | 530  | 0.0059          |
| 0.0226        | 9.0   | 596  | 0.0061          |
| 0.0211        | 9.96  | 660  | 0.0060          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2