transformers pytorch safetensors t5 text2text-generation generated_from_trainer translation en gu dataset:opus100 base_model:google-t5/t5-small base_model:finetune:google-t5/t5-small license:apache-2.0 model-index autotrain_compatible text-generation-inference endpoints_compatible region:us
---
base_model: t5-small
datasets:
- opus100
language:
- en
- gu
license: apache-2.0
metrics:
- bleu
pipeline_tag: translation
tags:
- generated_from_trainer
model-index:
- name: english-guyarati
  results:
  - task:
      type: translation
      name: Translation
    dataset:
      name: opus100 en-gu
      type: opus100
      config: en-gu
      split: validation
      args: en-gu
    metrics:
    - type: bleu
      value: 48.3798
      name: Bleu
---

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# english-guyarati

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the opus100 en-gu dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3595
- Bleu: 48.3798
- Gen Len: 14.5

## 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