---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- opus100
metrics:
- bleu
model-index:
- name: my_awesome_opus_books_model
  results:
  - task:
      name: Sequence-to-sequence Language Modeling
      type: text2text-generation
    dataset:
      name: opus100
      type: opus100
      config: en-ja
      split: test
      args: en-ja
    metrics:
    - name: Bleu
      type: bleu
      value: 23.8215
---

<!-- 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 the opus100 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4506
- Bleu: 23.8215
- Gen Len: 4.6055

## 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: 2
- eval_batch_size: 2
- 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 |
|:-------------:|:-----:|:-------:|:---------------:|:-------:|:-------:|
| 0.4468        | 1.0   | 500000  | 0.4585          | 23.9023 | 4.705   |
| 0.4397        | 2.0   | 1000000 | 0.4506          | 23.8215 | 4.6055  |


### Framework versions

- Transformers 4.29.2
- Pytorch 2.0.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3