---
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:
- Loss: 1.7768
- Bleu: 0.0000

## 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: 0.0003
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 128
- 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 | Validation Loss | Bleu   |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 2.5511        | 0.31  | 500  | 5.1039          | 0.0    |
| 2.2033        | 0.62  | 1000 | 4.1782          | 0.0000 |
| 1.4703        | 0.93  | 1500 | 2.8979          | 0.0000 |
| 1.6507        | 1.23  | 2000 | 2.2250          | 0.0000 |
| 1.6791        | 1.54  | 2500 | 2.0530          | 0.0000 |
| 1.4587        | 1.85  | 3000 | 1.9121          | 0.0000 |
| 1.288         | 2.16  | 3500 | 1.8705          | 0.0000 |
| 1.2244        | 2.47  | 4000 | 1.7940          | 0.0000 |
| 1.0364        | 2.78  | 4500 | 1.7768          | 0.0000 |


### Framework versions

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