metadata
license: mit
tags:
- translation
- generated_from_trainer
datasets:
- kde4
metrics:
- bleu
model-index:
- name: m2m100_418M-ja
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: kde4
type: kde4
config: en-ja
split: train
args: en-ja
metrics:
- name: Bleu
type: bleu
value: 36.93684031225943
m2m100_418M-ja
This model is a fine-tuned version of facebook/m2m100_418M on the kde4 dataset. It achieves the following results on the evaluation set:
- Loss: 0.9177
- Bleu: 36.9368
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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Bleu |
---|---|---|---|---|
0.8797 | 1.0 | 59084 | 0.9177 | 36.9368 |
Framework versions
- Transformers 4.27.4
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.2