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---
library_name: transformers
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-it-en
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: opus-it-pl-v1
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# opus-it-pl-v1
This model is a fine-tuned version of [Helsinki-NLP/opus-mt-it-en](https://huggingface.co/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
|