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Rooshan-mbart-large50-4_finetuned_it_en-it_es
This model is a fine-tuned version of Rooshan/Rooshan-mbart-large50-3_finetuned_it_en-it_es on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3441
- Bleu: 70.1585
- Gen Len: 27.7859
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: 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
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 0.3618 | 1.0 | 13632 | 0.3441 | 70.1585 | 27.7859 |
Framework versions
- Transformers 4.27.3
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2
