transformers tensorboard safetensors t5 text2text-generation generated_from_trainer en de dataset:IWSLT/iwslt2017 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: google-t5/t5-small
datasets:
- IWSLT/iwslt2017
language:
- en
- de
license: apache-2.0
metrics:
- bleu
tags:
- generated_from_trainer
model-index:
- name: t5-big-scratch-iwslt2017
  results:
  - task:
      type: translation
    dataset:
      name: iwslt2017
      type: iwslt2017
    metrics:
    - type: BLEU
      value: 26.23
      name: BLEU
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# t5-big-scratch-iwslt2017

[Source Code](https://github.com/minseok0809/transformer-implementation)

This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.3140
- Bleu: 0.2623
- Gen Len: 26.3604

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

- iwslt2017: https://huggingface.co/datasets/IWSLT/iwslt2017

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 32
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50

### Training results



### Framework versions

- Transformers 4.42.0.dev0
- Pytorch 2.1.2
- Datasets 2.19.0
- Tokenizers 0.19.1