---
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