---
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: 1.7469
- Bleu: 23.6596
- Gen Len: 27.526

## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 100000

### Training results

| Training Loss | Epoch  | Step   | Validation Loss | Bleu    | Gen Len |
|:-------------:|:------:|:------:|:---------------:|:-------:|:-------:|
| 1.7738        | 0.2778 | 10000  | 1.9146          | 20.1598 | 28.1563 |
| 1.6498        | 0.5556 | 20000  | 1.8550          | 21.4167 | 27.853  |
| 1.5903        | 0.8333 | 30000  | 1.8277          | 22.604  | 27.7613 |
| 1.5151        | 1.1111 | 40000  | 1.8128          | 22.1273 | 27.3187 |
| 1.4866        | 1.3889 | 50000  | 1.7999          | 22.8295 | 27.419  |
| 1.4696        | 1.6667 | 60000  | 1.7810          | 22.9923 | 27.7387 |
| 1.4508        | 1.9444 | 70000  | 1.7654          | 23.1046 | 27.7057 |
| 1.4053        | 2.2222 | 80000  | 1.7587          | 23.5079 | 27.643  |
| 1.3956        | 2.5    | 90000  | 1.7525          | 23.3848 | 27.6637 |
| 1.3903        | 2.7778 | 100000 | 1.7469          | 23.6596 | 27.526  |


### Framework versions

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