|
--- |
|
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[:1000] |
|
args: en-fr |
|
metrics: |
|
- name: Bleu |
|
type: bleu |
|
value: 6.5252 |
|
--- |
|
|
|
<!-- 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: 1.6364 |
|
- Bleu: 6.5252 |
|
- Gen Len: 17.395 |
|
|
|
## 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 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | |
|
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:| |
|
| No log | 1.0 | 50 | 1.6402 | 6.3992 | 17.405 | |
|
| No log | 2.0 | 100 | 1.6364 | 6.5252 | 17.395 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.26.1 |
|
- Pytorch 2.0.1+cu118 |
|
- Datasets 2.14.0 |
|
- Tokenizers 0.13.3 |
|
|
