license: apache-2.0 | |
tags: | |
- generated_from_trainer | |
datasets: | |
- wmt19 | |
metrics: | |
- bleu | |
model-index: | |
- name: t5-small-finetuned-fi-to-en | |
results: | |
- task: | |
name: Sequence-to-sequence Language Modeling | |
type: text2text-generation | |
dataset: | |
name: wmt19 | |
type: wmt19 | |
args: fi-en | |
metrics: | |
- name: Bleu | |
type: bleu | |
value: 1.2607 | |
<!-- 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. --> | |
# t5-small-finetuned-fi-to-en | |
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the wmt19 dataset. | |
It achieves the following results on the evaluation set: | |
- Loss: 3.5004 | |
- Bleu: 1.2607 | |
- Gen Len: 17.1943 | |
## 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: 2e-05 | |
- train_batch_size: 16 | |
- eval_batch_size: 16 | |
- seed: 42 | |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
- lr_scheduler_type: linear | |
- num_epochs: 2 | |
### Training results | |
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | | |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:| | |
| 3.3914 | 1.0 | 6250 | 3.5255 | 1.2017 | 17.1033 | | |
| 3.3221 | 2.0 | 12500 | 3.5004 | 1.2607 | 17.1943 | | |
### Framework versions | |
- Transformers 4.12.5 | |
- Pytorch 1.9.1 | |
- Datasets 1.16.1 | |
- Tokenizers 0.10.3 | |