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

# al-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: 0.7427
- Bleu: 51.2627
- Gen Len: 26.713

## 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 |
|:-------------:|:------:|:------:|:---------------:|:-------:|:-------:|
| 0.8503        | 0.2778 | 10000  | 0.9749          | 41.49   | 27.2803 |
| 0.7082        | 0.5556 | 20000  | 0.8905          | 44.7235 | 26.6963 |
| 0.6407        | 0.8333 | 30000  | 0.8530          | 46.6914 | 27.019  |
| 0.573         | 1.1111 | 40000  | 0.8260          | 47.4882 | 26.6827 |
| 0.5438        | 1.3889 | 50000  | 0.8017          | 48.472  | 26.8617 |
| 0.5263        | 1.6667 | 60000  | 0.7810          | 49.0812 | 26.8817 |
| 0.5091        | 1.9444 | 70000  | 0.7654          | 49.9355 | 26.7853 |
| 0.4699        | 2.2222 | 80000  | 0.7605          | 50.3601 | 26.72   |
| 0.4597        | 2.5    | 90000  | 0.7488          | 50.92   | 26.8803 |
| 0.454         | 2.7778 | 100000 | 0.7427          | 51.2627 | 26.713  |


### Framework versions

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