metadata
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-en-inc
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: opus-mt-en-inc-finetuned-en-to-bn-fp16
results: []
opus-mt-en-inc-finetuned-en-to-bn-fp16
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-inc on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.8782
- Bleu: 21.613
- Gen Len: 21.9459
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: 1e-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: 1
Training results
Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
---|---|---|---|---|---|
1.9652 | 1.0 | 171895 | 1.8782 | 21.613 | 21.9459 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3