---
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: 1.3595
- Bleu: 9.6913
- Gen Len: 36.0054

## 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: 4
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu   | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|
| 2.0728        | 1.0   | 8066  | 1.6218          | 7.3281 | 36.9712 |
| 1.8058        | 2.0   | 16132 | 1.4415          | 8.9077 | 36.0686 |
| 1.6925        | 3.0   | 24198 | 1.3778          | 9.5031 | 36.0025 |
| 1.6379        | 4.0   | 32264 | 1.3595          | 9.6913 | 36.0054 |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.0
- Datasets 2.19.1
- Tokenizers 0.19.1