transformers tensorboard safetensors t5 text2text-generation generated_from_trainer en dataset:opus_books base_model:google-t5/t5-small base_model:finetune:google-t5/t5-small license:apache-2.0 autotrain_compatible text-generation-inference endpoints_compatible region:us
---
base_model: t5-small
datasets:
- opus_books
language:
- en
library_name: transformers
license: apache-2.0
metrics:
- bleu
- sacrebleu
tags:
- generated_from_trainer
model-index:
- name: my_awesome_opus_books_model
  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. -->

# my_awesome_opus_books_model

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6087
- Bleu: 5.6503
- Gen Len: 17.561

## Sample Request

Try this sentence - `translate English to French: what is love?`

You should get response like - `Qu'est-ce que l'amour?`

> Ensure that you are prepending `translate English to French: ` for all translations 


## Intended uses & limitations

> This model has been trained only on en-fr subset of OPUS dataset.

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu   | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|
| 1.8471        | 1.0   | 6355  | 1.6325          | 5.4857 | 17.565  |
| 1.8346        | 2.0   | 12710 | 1.6087          | 5.6503 | 17.561  |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0