---
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-ru-uk
tags:
- generated_from_keras_callback
model-index:
- name: serhii-korobchenko/mt5-small_poetry_Helsinki-2024-02-23-17-44-34
  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. -->

# serhii-korobchenko/mt5-small_poetry_Helsinki-2024-02-23-17-44-34

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-ru-uk](https://huggingface.co/Helsinki-NLP/opus-mt-ru-uk) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.0194
- Validation Loss: 2.6788
- Epoch: 19

## 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:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5.6e-06, 'decay_steps': 2740, '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': 1e-06}
- training_precision: mixed_float16

### Training results

| Train Loss | Validation Loss | Epoch |
|:----------:|:---------------:|:-----:|
| 0.0892     | 2.5969          | 0     |
| 0.0658     | 2.6050          | 1     |
| 0.0609     | 2.6026          | 2     |
| 0.0519     | 2.6134          | 3     |
| 0.0411     | 2.6232          | 4     |
| 0.0392     | 2.6326          | 5     |
| 0.0333     | 2.6448          | 6     |
| 0.0311     | 2.6494          | 7     |
| 0.0277     | 2.6555          | 8     |
| 0.0245     | 2.6601          | 9     |
| 0.0249     | 2.6607          | 10    |
| 0.0234     | 2.6678          | 11    |
| 0.0213     | 2.6720          | 12    |
| 0.0210     | 2.6713          | 13    |
| 0.0192     | 2.6732          | 14    |
| 0.0203     | 2.6741          | 15    |
| 0.0173     | 2.6764          | 16    |
| 0.0170     | 2.6778          | 17    |
| 0.0170     | 2.6787          | 18    |
| 0.0194     | 2.6788          | 19    |


### Framework versions

- Transformers 4.37.2
- TensorFlow 2.15.0
- Datasets 2.17.1
- Tokenizers 0.15.2