---
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