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---
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
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