license: apache-2.0 | |
tags: | |
- generated_from_trainer | |
datasets: | |
- opus_books | |
metrics: | |
- bleu | |
model-index: | |
- name: my_awesome_opus_books_model | |
results: | |
- task: | |
name: Sequence-to-sequence Language Modeling | |
type: text2text-generation | |
dataset: | |
name: opus_books | |
type: opus_books | |
config: en-fr | |
split: train | |
args: en-fr | |
metrics: | |
- name: Bleu | |
type: bleu | |
value: 5.2733 | |
<!-- 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. --> | |
# my_awesome_opus_books_model | |
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the opus_books dataset. | |
It achieves the following results on the evaluation set: | |
- Loss: 1.6631 | |
- Bleu: 5.2733 | |
- Gen Len: 17.594 | |
## 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: 1 | |
- mixed_precision_training: Native AMP | |
### Training results | |
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | | |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:| | |
| 1.8918 | 1.0 | 6355 | 1.6631 | 5.2733 | 17.594 | | |
### Framework versions | |
- Transformers 4.29.2 | |
- Pytorch 2.0.0 | |
- Datasets 2.1.0 | |
- Tokenizers 0.13.3 | |