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---
license: apache-2.0
tags:
- generated_from_keras_callback
base_model: serhii-korobchenko/mt5-small_poetry_test-2024-02-23-11-37-04
model-index:
- name: mt5-small_poetry_test-2024-02-23-15-43-02
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. -->
# mt5-small_poetry_test-2024-02-23-15-43-02
This model is a fine-tuned version of [serhii-korobchenko/mt5-small_poetry_test-2024-02-23-11-37-04](https://huggingface.co/serhii-korobchenko/mt5-small_poetry_test-2024-02-23-11-37-04) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 1.0719
- Validation Loss: 8.8056
- Epoch: 49
## 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': 0.0056, 'decay_steps': 750, '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 |
|:----------:|:---------------:|:-----:|
| 10.6051 | 8.0186 | 0 |
| 7.2838 | 7.5097 | 1 |
| 6.1079 | 7.5227 | 2 |
| 5.8520 | 7.6991 | 3 |
| 5.7403 | 7.6098 | 4 |
| 5.7371 | 7.6277 | 5 |
| 5.6356 | 7.6047 | 6 |
| 5.6156 | 7.7156 | 7 |
| 5.5722 | 7.5735 | 8 |
| 5.5118 | 7.5908 | 9 |
| 5.4539 | 7.6017 | 10 |
| 5.3815 | 7.6174 | 11 |
| 5.3763 | 7.6022 | 12 |
| 5.2895 | 7.4830 | 13 |
| 5.2140 | 7.5455 | 14 |
| 5.1843 | 7.4243 | 15 |
| 5.1056 | 7.3897 | 16 |
| 4.9740 | 7.2854 | 17 |
| 4.9361 | 7.2887 | 18 |
| 4.8234 | 7.4561 | 19 |
| 4.9462 | 7.3764 | 20 |
| 4.8029 | 7.2209 | 21 |
| 4.6122 | 7.1327 | 22 |
| 4.4010 | 7.3362 | 23 |
| 4.2291 | 7.0549 | 24 |
| 4.0323 | 7.2076 | 25 |
| 3.8655 | 7.2932 | 26 |
| 3.6406 | 7.3575 | 27 |
| 3.4665 | 7.2689 | 28 |
| 3.4070 | 7.1520 | 29 |
| 3.3049 | 7.4382 | 30 |
| 3.0354 | 7.5552 | 31 |
| 2.7136 | 7.2149 | 32 |
| 2.5568 | 7.8140 | 33 |
| 2.2594 | 7.7701 | 34 |
| 2.1743 | 7.9400 | 35 |
| 2.0776 | 8.1060 | 36 |
| 1.8686 | 7.7733 | 37 |
| 1.8453 | 8.1850 | 38 |
| 1.7281 | 7.8816 | 39 |
| 1.5912 | 7.8918 | 40 |
| 1.4447 | 8.4160 | 41 |
| 1.4090 | 8.5857 | 42 |
| 1.2143 | 8.5367 | 43 |
| 1.2254 | 8.3491 | 44 |
| 1.0937 | 8.8601 | 45 |
| 1.1357 | 8.4994 | 46 |
| 1.0708 | 8.9421 | 47 |
| 1.0830 | 8.9817 | 48 |
| 1.0719 | 8.8056 | 49 |
### Framework versions
- Transformers 4.37.2
- TensorFlow 2.15.0
- Datasets 2.17.1
- Tokenizers 0.15.2
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