opus-it-pl-v1
This model is a fine-tuned version of Helsinki-NLP/opus-mt-it-en on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.5582
- Bleu: 7.9841
- Gen Len: 36.3325
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
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 2.1347 | 1.0 | 8066 | 1.6707 | 7.0045 | 37.0437 |
| 1.9546 | 2.0 | 16132 | 1.5582 | 7.9841 | 36.3325 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0
- Datasets 2.19.1
- Tokenizers 0.19.1
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Model tree for clui/opus-mt-it-pl
Base model
Helsinki-NLP/opus-mt-it-en