translation_slo_eng_mt5_base
This model is a fine-tuned version of Helsinki-NLP/opus-mt-sla-en on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.4506
- Bleu: 40.4634
- Gen Len: 13.3812
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 | Gen Len |
|---|---|---|---|---|---|
| 1.5663 | 1.0 | 5000 | 1.4506 | 40.4634 | 13.3812 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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Model tree for tjasad/translation_slo_eng_opus-mt-sla-en
Base model
Helsinki-NLP/opus-mt-sla-en