File size: 1,713 Bytes
cd2401c |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 |
---
license: apache-2.0
tags:
- translation
- generated_from_trainer
datasets:
- scielo
metrics:
- bleu
model-index:
- name: opus-mt-es-en-scielo
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: scielo
type: scielo
args: en-es
metrics:
- name: Bleu
type: bleu
value: 40.87878888820179
---
<!-- 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-scielo
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 scielo dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2593
- Bleu: 40.8788
## 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: 5.6e-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 |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|
| 1.4277 | 1.0 | 10001 | 1.3473 | 40.5849 |
| 1.2007 | 2.0 | 20002 | 1.3146 | 41.3308 |
### Framework versions
- Transformers 4.18.0
- Pytorch 1.11.0
- Datasets 2.1.0
- Tokenizers 0.12.1
|