---
tags:
- generated_from_trainer
datasets:
- xtreme_s
metrics:
- bleu
model-index:
- name: ''
  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. -->

# 

This model was trained from scratch on the xtreme_s dataset.
It achieves the following results on the evaluation set:
- Bleu: 0.0000
- Loss: 1.6425

## 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: 0.0004100464310609422
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- 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: 3.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Bleu   | Validation Loss |
|:-------------:|:-----:|:----:|:------:|:---------------:|
| 2.8303        | 0.15  | 500  | 0.0    | 4.9238          |
| 2.4062        | 0.31  | 1000 | 0.0    | 4.4017          |
| 1.9171        | 0.46  | 1500 | 0.0000 | 3.6431          |
| 1.4558        | 0.62  | 2000 | 0.0000 | 2.8292          |
| 1.2393        | 0.77  | 2500 | 0.0000 | 2.3704          |
| 1.3315        | 0.93  | 3000 | 0.0000 | 2.3101          |
| 1.8476        | 1.08  | 3500 | 0.0000 | 1.9936          |
| 1.683         | 1.23  | 4000 | 0.0000 | 1.9308          |
| 1.8298        | 1.39  | 4500 | 0.0000 | 1.8817          |
| 1.5955        | 1.54  | 5000 | 0.0000 | 1.8171          |
| 1.6288        | 1.7   | 5500 | 0.0000 | 1.7821          |
| 1.4107        | 1.85  | 6000 | 0.0000 | 1.7170          |
| 1.0363        | 2.01  | 6500 | 0.0000 | 1.7419          |
| 0.9667        | 2.16  | 7000 | 0.0000 | 1.7309          |
| 0.9147        | 2.31  | 7500 | 0.0000 | 1.7244          |
| 1.1975        | 2.47  | 8000 | 0.0000 | 1.6716          |
| 0.9071        | 2.62  | 8500 | 0.0000 | 1.6886          |
| 0.9735        | 2.78  | 9000 | 0.0000 | 1.6609          |
| 0.908         | 2.93  | 9500 | 0.0000 | 1.6425          |


### Framework versions

- Transformers 4.19.0.dev0
- Pytorch 1.10.2+cu113
- Datasets 2.1.1.dev0
- Tokenizers 0.11.0