metadata
license: mit
tags:
- translation
- generated_from_trainer
datasets:
- kde4
metrics:
- bleu
base_model: facebook/m2m100_418M
model-index:
- name: m2m100_418M-fr
results:
- task:
type: text2text-generation
name: Sequence-to-sequence Language Modeling
dataset:
name: kde4
type: kde4
args: en-fr
metrics:
- type: bleu
value: 51.1339693938271
name: Bleu
m2m100_418M-fr
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: 0.7021
- Bleu: 51.1340
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: 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: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu |
|---|---|---|---|---|
| 0.749 | 1.0 | 23645 | 0.7021 | 51.1344 |
Framework versions
- Transformers 4.13.0.dev0
- Pytorch 1.10.0
- Datasets 1.15.2.dev0
- Tokenizers 0.10.3