metadata
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-ja-pl
tags:
- generated_from_trainer
datasets:
- tatoeba
metrics:
- bleu
model-index:
- name: opus_model
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: tatoeba
type: tatoeba
config: ja-pl
split: train
args: ja-pl
metrics:
- name: Bleu
type: bleu
value: 34.4952
opus_model
This model is a fine-tuned version of Helsinki-NLP/opus-mt-ja-pl on the tatoeba dataset. It achieves the following results on the evaluation set:
- Loss: 1.1164
- Bleu: 34.4952
- Gen Len: 9.442
- Meteor: 0.5692
- Chrf: 53.728
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: 3e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | Meteor | Chrf |
|---|---|---|---|---|---|---|---|
| 2.5658 | 1.0 | 56681 | 1.6196 | 21.6767 | 9.2915 | 0.4586 | 43.4725 |
| 2.3419 | 2.0 | 113362 | 1.4667 | 25.4469 | 9.3688 | 0.4916 | 46.3391 |
| 2.23 | 3.0 | 170043 | 1.3715 | 27.166 | 9.4895 | 0.5089 | 48.2252 |
| 2.1139 | 4.0 | 226724 | 1.2833 | 28.9288 | 9.4581 | 0.5244 | 49.4667 |
| 1.9825 | 5.0 | 283405 | 1.2170 | 31.3751 | 9.3229 | 0.5358 | 51.0005 |
| 1.8982 | 6.0 | 340086 | 1.1660 | 32.9805 | 9.4976 | 0.5563 | 52.5487 |
| 1.8198 | 7.0 | 396767 | 1.1305 | 34.0223 | 9.4436 | 0.5665 | 53.2912 |
| 1.7592 | 8.0 | 453448 | 1.1164 | 34.4952 | 9.442 | 0.5692 | 53.728 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1