transformers pytorch tensorboard t5 text2text-generation generated_from_trainer translation dataset:opus_books license:apache-2.0 model-index autotrain_compatible text-generation-inference endpoints_compatible region:us
---
datasets:
- opus_books
license: apache-2.0
metrics:
- bleu
pipeline_tag: translation
tags:
- generated_from_trainer
model-index:
- name: my_awesome_opus_books_model
  results:
  - task:
      type: text2text-generation
      name: Sequence-to-sequence Language Modeling
    dataset:
      name: opus_books
      type: opus_books
      config: en-fr
      split: train
      args: en-fr
    metrics:
    - type: bleu
      value: 5.5585
      name: Bleu
---

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# my_awesome_opus_books_model

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the opus_books dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6069
- Bleu: 5.5585
- Gen Len: 17.5925

## 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: 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

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu   | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|
| 1.863         | 1.0   | 6355  | 1.6305          | 5.3946 | 17.6086 |
| 1.8254        | 2.0   | 12710 | 1.6069          | 5.5585 | 17.5925 |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.0
- Tokenizers 0.13.3