mbart-large-cc25-ind_finetun-hi-to-en
This model is a fine-tuned version of facebook/mbart-large-cc25 on the hindi_english_machine_translation dataset. It achieves the following results on the evaluation set:
- Loss: 1.4042
- Bleu: 15.9135
- Gen Len: 70.155
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
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 2.3854 | 1.0 | 620 | 1.4042 | 15.9135 | 70.155 |
Framework versions
- Transformers 4.19.1
- Pytorch 1.11.0+cu102
- Datasets 1.18.0
- Tokenizers 0.12.1