---
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: 1.6254
- Bleu: 26.3346
- Gen Len: 26.6907

## 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 |
|:-------------:|:------:|:------:|:---------------:|:-------:|:-------:|
| 2.3103        | 0.0355 | 10000  | 1.8454          | 22.058  | 27.7263 |
| 2.2141        | 0.0710 | 20000  | 1.7811          | 23.339  | 26.7147 |
| 2.176         | 0.1065 | 30000  | 1.7361          | 24.3234 | 27.125  |
| 2.139         | 0.1419 | 40000  | 1.7131          | 25.0888 | 26.8213 |
| 2.1084        | 0.1774 | 50000  | 1.6874          | 24.9992 | 26.824  |
| 2.0826        | 0.2129 | 60000  | 1.6685          | 25.7297 | 26.62   |
| 2.068         | 0.2484 | 70000  | 1.6485          | 25.9031 | 26.685  |
| 2.05          | 0.2839 | 80000  | 1.6371          | 26.143  | 26.8693 |
| 2.0331        | 0.3194 | 90000  | 1.6311          | 26.3038 | 26.5183 |
| 2.0273        | 0.3549 | 100000 | 1.6254          | 26.3346 | 26.6907 |


### Framework versions

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