eval
This model is a fine-tuned version of facebook/mbart-large-cc25 on IWSLT14 En-Zh dataset.
It achieves the following results on the evaluation set:
- eval_loss: 3.8405
- eval_bleu: 3.5173
- eval_gen_len: 21.5826
It achieves the following results on the test set:
- test_loss: 3.8337
- test_bleu: 3.277
- test_gen_len: 21.6287
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 7
- num_epochs: 9
Framework versions
- Transformers 4.35.2
- Pytorch 2.0.1+cu117
- Datasets 2.15.0
- Tokenizers 0.15.0
- Downloads last month
- 14
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Model tree for gyr66/machine_translation
Base model
facebook/mbart-large-cc25