---
language:
- en
- hi
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
datasets:
- opus100
metrics:
- bleu
model-index:
- name: tst-translation
  results:
  - task:
      name: Translation
      type: translation
    dataset:
      name: opus100 en-hi
      type: opus100
      config: en-hi
      split: validation
      args: en-hi
    metrics:
    - name: Bleu
      type: bleu
      value: 15.633747222567068
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# tst-translation

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the opus100 en-hi dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1287
- Bleu: 15.6337

## 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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0

### Training results



### Framework versions

- Transformers 4.32.0.dev0
- Pytorch 2.0.1
- Datasets 2.14.4
- Tokenizers 0.13.3