---
library_name: transformers
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-pl-en
tags:
- generated_from_keras_callback
model-index:
- name: test
  results: []
---

<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->

# test

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-pl-en](https://huggingface.co/Helsinki-NLP/opus-mt-pl-en) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.8739
- Validation Loss: 1.9639
- Epoch: 2

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data


## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 9, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32

### Training results
BLEU score: 5

Evaluation data: some dataset
| Train Loss | Validation Loss | Epoch |
|:----------:|:---------------:|:-----:|
| 1.2374     | 1.9637          | 0     |
| 0.9928     | 1.9630          | 1     |
| 0.8739     | 1.9639          | 2     |


### Framework versions

- Transformers 4.49.0
- TensorFlow 2.18.0
- Datasets 3.3.2
- Tokenizers 0.21.0