|
--- |
|
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 |
|
|
