|
--- |
|
license: apache-2.0 |
|
base_model: serhii-korobchenko/mt5-small_poetry_test-2024-02-23-09-44-03 |
|
tags: |
|
- generated_from_keras_callback |
|
model-index: |
|
- name: serhii-korobchenko/mt5-small_poetry_test-2024-02-23-11-37-04 |
|
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_test-2024-02-23-11-37-04 |
|
|
|
This model is a fine-tuned version of [serhii-korobchenko/mt5-small_poetry_test-2024-02-23-09-44-03](https://huggingface.co/serhii-korobchenko/mt5-small_poetry_test-2024-02-23-09-44-03) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Train Loss: 4.2334 |
|
- Validation Loss: 3.3547 |
|
- Epoch: 16 |
|
|
|
## 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-05, 'decay_steps': 2400, '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': 0.0001} |
|
- training_precision: mixed_float16 |
|
|
|
### Training results |
|
|
|
| Train Loss | Validation Loss | Epoch | |
|
|:----------:|:---------------:|:-----:| |
|
| 6.6604 | 4.1654 | 0 | |
|
| 6.0975 | 3.9769 | 1 | |
|
| 5.7642 | 3.8194 | 2 | |
|
| 5.5421 | 3.7233 | 3 | |
|
| 5.5621 | 3.6724 | 4 | |
|
| 5.2110 | 3.6284 | 5 | |
|
| 5.0164 | 3.5796 | 6 | |
|
| 4.9996 | 3.5401 | 7 | |
|
| 4.8020 | 3.4781 | 8 | |
|
| 4.7490 | 3.4661 | 9 | |
|
| 4.6101 | 3.4544 | 10 | |
|
| 4.4780 | 3.4371 | 11 | |
|
| 4.4204 | 3.4310 | 12 | |
|
| 4.3121 | 3.3932 | 13 | |
|
| 4.2895 | 3.3719 | 14 | |
|
| 4.2082 | 3.3649 | 15 | |
|
| 4.2334 | 3.3547 | 16 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.37.2 |
|
- TensorFlow 2.15.0 |
|
- Datasets 2.17.1 |
|
- Tokenizers 0.15.2 |
|
|
