---
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: 2.1356
- 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: 3e-05
- 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   |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 2.6458        | 0.31  | 500  | 4.3754          | 0.0    |
| 2.3505        | 0.62  | 1000 | 4.3071          | 0.0    |
| 2.2152        | 0.93  | 1500 | 3.9444          | 0.0    |
| 2.79          | 1.23  | 2000 | 3.2046          | 0.0000 |
| 2.569         | 1.54  | 2500 | 2.6812          | 0.0000 |
| 2.322         | 1.85  | 3000 | 2.4081          | 0.0000 |
| 2.3435        | 2.16  | 3500 | 2.2696          | 0.0000 |
| 2.2063        | 2.47  | 4000 | 2.2452          | 0.0000 |
| 2.1087        | 2.78  | 4500 | 2.1356          | 0.0000 |


### Framework versions

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