|
--- |
|
license: apache-2.0 |
|
base_model: Helsinki-NLP/opus-mt-es-en |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- opus_books |
|
metrics: |
|
- bleu |
|
model-index: |
|
- name: opus-mt-es-en-finetuned_model-en-to-es |
|
results: |
|
- task: |
|
name: Sequence-to-sequence Language Modeling |
|
type: text2text-generation |
|
dataset: |
|
name: opus_books |
|
type: opus_books |
|
config: en-es |
|
split: train |
|
args: en-es |
|
metrics: |
|
- name: Bleu |
|
type: bleu |
|
value: 13.8765 |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
# opus-mt-es-en-finetuned_model-en-to-es |
|
|
|
This model is a fine-tuned version of [Helsinki-NLP/opus-mt-es-en](https://huggingface.co/Helsinki-NLP/opus-mt-es-en) on the opus_books dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.9803 |
|
- Bleu: 13.8765 |
|
- Gen Len: 45.316 |
|
|
|
## 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 | |
|
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:| |
|
| 2.5745 | 1.0 | 4674 | 2.3717 | 10.1245 | 46.0135 | |
|
| 2.2901 | 2.0 | 9348 | 2.1461 | 12.2345 | 45.3126 | |
|
| 2.1356 | 3.0 | 14022 | 2.0491 | 13.1754 | 45.496 | |
|
| 2.0507 | 4.0 | 18696 | 1.9967 | 13.689 | 45.3156 | |
|
| 2.0222 | 5.0 | 23370 | 1.9803 | 13.8765 | 45.316 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.33.1 |
|
- Pytorch 2.0.1+cu118 |
|
- Datasets 2.14.5 |
|
- Tokenizers 0.13.3 |
|
|
