---
license: apache-2.0
base_model: google-t5/t5-small
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: ft-wmt14
  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. -->

# ft-wmt14

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: 1.7607
- Bleu: 23.421
- Gen Len: 27.6243

## 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: 0.0005
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adafactor
- lr_scheduler_type: linear
- training_steps: 100000

### Training results

| Training Loss | Epoch  | Step   | Validation Loss | Bleu    | Gen Len |
|:-------------:|:------:|:------:|:---------------:|:-------:|:-------:|
| 1.7882        | 0.2778 | 10000  | 1.9278          | 19.7853 | 28.4147 |
| 1.6619        | 0.5556 | 20000  | 1.8710          | 21.3803 | 27.667  |
| 1.6007        | 0.8333 | 30000  | 1.8397          | 22.2715 | 27.317  |
| 1.5269        | 1.1111 | 40000  | 1.8205          | 21.9329 | 27.704  |
| 1.498         | 1.3889 | 50000  | 1.8134          | 22.4836 | 27.63   |
| 1.4801        | 1.6667 | 60000  | 1.7941          | 22.727  | 27.582  |
| 1.462         | 1.9444 | 70000  | 1.7766          | 23.0372 | 27.5903 |
| 1.4182        | 2.2222 | 80000  | 1.7724          | 23.6231 | 27.4233 |
| 1.4079        | 2.5    | 90000  | 1.7663          | 23.2604 | 27.7623 |
| 1.4037        | 2.7778 | 100000 | 1.7607          | 23.421  | 27.6243 |


### Framework versions

- Transformers 4.40.0
- Pytorch 2.2.2+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1