|
--- |
|
license: apache-2.0 |
|
base_model: google-t5/t5-small |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- wmt14 |
|
metrics: |
|
- bleu |
|
model-index: |
|
- name: T5_model_1 |
|
results: |
|
- task: |
|
name: Sequence-to-sequence Language Modeling |
|
type: text2text-generation |
|
dataset: |
|
name: wmt14 |
|
type: wmt14 |
|
config: fr-en |
|
split: validation |
|
args: fr-en |
|
metrics: |
|
- name: Bleu |
|
type: bleu |
|
value: 8.741 |
|
--- |
|
|
|
<!-- 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_model_1 |
|
|
|
This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on the wmt14 dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.4948 |
|
- Bleu: 8.741 |
|
- Gen Len: 17.974 |
|
|
|
## 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: 0.001 |
|
- train_batch_size: 60 |
|
- eval_batch_size: 60 |
|
- 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 | |
|
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:| |
|
| No log | 1.0 | 10 | 1.5554 | 8.7554 | 17.9983 | |
|
| No log | 2.0 | 20 | 1.4948 | 8.741 | 17.974 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.32.1 |
|
- Pytorch 1.12.1 |
|
- Datasets 2.18.0 |
|
- Tokenizers 0.13.2 |
|
|
