|
--- |
|
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: de-en |
|
split: train |
|
args: de-en |
|
metrics: |
|
- name: Bleu |
|
type: bleu |
|
value: 4.9544 |
|
--- |
|
|
|
<!-- 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 was trained from scratch on the opus_books dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 2.6349 |
|
- Bleu: 4.9544 |
|
- Gen Len: 16.4563 |
|
|
|
## 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: 5 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | |
|
|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:| |
|
| 3.0491 | 1.0 | 2574 | 2.7656 | 4.2008 | 16.5119 | |
|
| 2.9604 | 2.0 | 5148 | 2.6959 | 4.589 | 16.4523 | |
|
| 2.9114 | 3.0 | 7722 | 2.6601 | 4.8097 | 16.461 | |
|
| 2.8991 | 4.0 | 10296 | 2.6408 | 4.9246 | 16.4609 | |
|
| 2.8777 | 5.0 | 12870 | 2.6349 | 4.9544 | 16.4563 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.32.1 |
|
- Pytorch 2.0.1+cu118 |
|
- Datasets 2.14.4 |
|
- Tokenizers 0.13.3 |
|
|